删除stm32代码

This commit is contained in:
kerwincui
2021-09-12 18:09:29 +08:00
parent 5bbdd075b1
commit bfd491b1bd
201 changed files with 0 additions and 104749 deletions

View File

@@ -1,98 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_32x64_init_q31.c
* Description: High precision Q31 Biquad cascade filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF1_32x64
* @{
*/
/**
* @details
*
* @param[in,out] *S points to an instance of the high precision Q31 Biquad cascade filter structure.
* @param[in] numStages number of 2nd order stages in the filter.
* @param[in] *pCoeffs points to the filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] postShift Shift to be applied after the accumulator. Varies according to the coefficients format.
* @return none
*
* <b>Coefficient and State Ordering:</b>
*
* \par
* The coefficients are stored in the array <code>pCoeffs</code> in the following order:
* <pre>
* {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
* </pre>
* where <code>b1x</code> and <code>a1x</code> are the coefficients for the first stage,
* <code>b2x</code> and <code>a2x</code> are the coefficients for the second stage,
* and so on. The <code>pCoeffs</code> array contains a total of <code>5*numStages</code> values.
*
* \par
* The <code>pState</code> points to state variables array and size of each state variable is 1.63 format.
* Each Biquad stage has 4 state variables <code>x[n-1], x[n-2], y[n-1],</code> and <code>y[n-2]</code>.
* The state variables are arranged in the state array as:
* <pre>
* {x[n-1], x[n-2], y[n-1], y[n-2]}
* </pre>
* The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on.
* The state array has a total length of <code>4*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*/
void arm_biquad_cas_df1_32x64_init_q31(
arm_biquad_cas_df1_32x64_ins_q31 * S,
uint8_t numStages,
q31_t * pCoeffs,
q63_t * pState,
uint8_t postShift)
{
/* Assign filter stages */
S->numStages = numStages;
/* Assign postShift to be applied to the output */
S->postShift = postShift;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always 4 * numStages */
memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(q63_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of BiquadCascadeDF1_32x64 group
*/

View File

@@ -1,549 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_32x64_q31.c
* Description: High precision Q31 Biquad cascade filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup BiquadCascadeDF1_32x64 High Precision Q31 Biquad Cascade Filter
*
* This function implements a high precision Biquad cascade filter which operates on
* Q31 data values. The filter coefficients are in 1.31 format and the state variables
* are in 1.63 format. The double precision state variables reduce quantization noise
* in the filter and provide a cleaner output.
* These filters are particularly useful when implementing filters in which the
* singularities are close to the unit circle. This is common for low pass or high
* pass filters with very low cutoff frequencies.
*
* The function operates on blocks of input and output data
* and each call to the function processes <code>blockSize</code> samples through
* the filter. <code>pSrc</code> and <code>pDst</code> points to input and output arrays
* containing <code>blockSize</code> Q31 values.
*
* \par Algorithm
* Each Biquad stage implements a second order filter using the difference equation:
* <pre>
* y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
* </pre>
* A Direct Form I algorithm is used with 5 coefficients and 4 state variables per stage.
* \image html Biquad.gif "Single Biquad filter stage"
* Coefficients <code>b0, b1, and b2 </code> multiply the input signal <code>x[n]</code> and are referred to as the feedforward coefficients.
* Coefficients <code>a1</code> and <code>a2</code> multiply the output signal <code>y[n]</code> and are referred to as the feedback coefficients.
* Pay careful attention to the sign of the feedback coefficients.
* Some design tools use the difference equation
* <pre>
* y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] - a1 * y[n-1] - a2 * y[n-2]
* </pre>
* In this case the feedback coefficients <code>a1</code> and <code>a2</code> must be negated when used with the CMSIS DSP Library.
*
* \par
* Higher order filters are realized as a cascade of second order sections.
* <code>numStages</code> refers to the number of second order stages used.
* For example, an 8th order filter would be realized with <code>numStages=4</code> second order stages.
* \image html BiquadCascade.gif "8th order filter using a cascade of Biquad stages"
* A 9th order filter would be realized with <code>numStages=5</code> second order stages with the coefficients for one of the stages configured as a first order filter (<code>b2=0</code> and <code>a2=0</code>).
*
* \par
* The <code>pState</code> points to state variables array .
* Each Biquad stage has 4 state variables <code>x[n-1], x[n-2], y[n-1],</code> and <code>y[n-2]</code> and each state variable in 1.63 format to improve precision.
* The state variables are arranged in the array as:
* <pre>
* {x[n-1], x[n-2], y[n-1], y[n-2]}
* </pre>
*
* \par
* The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on.
* The state array has a total length of <code>4*numStages</code> values of data in 1.63 format.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared.
*
* \par Init Function
* There is also an associated initialization function which performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numStages, pCoeffs, postShift, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros before static initialization.
* For example, to statically initialize the filter instance structure use
* <pre>
* arm_biquad_cas_df1_32x64_ins_q31 S1 = {numStages, pState, pCoeffs, postShift};
* </pre>
* where <code>numStages</code> is the number of Biquad stages in the filter; <code>pState</code> is the address of the state buffer;
* <code>pCoeffs</code> is the address of the coefficient buffer; <code>postShift</code> shift to be applied which is described in detail below.
* \par Fixed-Point Behavior
* Care must be taken while using Biquad Cascade 32x64 filter function.
* Following issues must be considered:
* - Scaling of coefficients
* - Filter gain
* - Overflow and saturation
*
* \par
* Filter coefficients are represented as fractional values and
* restricted to lie in the range <code>[-1 +1)</code>.
* The processing function has an additional scaling parameter <code>postShift</code>
* which allows the filter coefficients to exceed the range <code>[+1 -1)</code>.
* At the output of the filter's accumulator is a shift register which shifts the result by <code>postShift</code> bits.
* \image html BiquadPostshift.gif "Fixed-point Biquad with shift by postShift bits after accumulator"
* This essentially scales the filter coefficients by <code>2^postShift</code>.
* For example, to realize the coefficients
* <pre>
* {1.5, -0.8, 1.2, 1.6, -0.9}
* </pre>
* set the Coefficient array to:
* <pre>
* {0.75, -0.4, 0.6, 0.8, -0.45}
* </pre>
* and set <code>postShift=1</code>
*
* \par
* The second thing to keep in mind is the gain through the filter.
* The frequency response of a Biquad filter is a function of its coefficients.
* It is possible for the gain through the filter to exceed 1.0 meaning that the filter increases the amplitude of certain frequencies.
* This means that an input signal with amplitude < 1.0 may result in an output > 1.0 and these are saturated or overflowed based on the implementation of the filter.
* To avoid this behavior the filter needs to be scaled down such that its peak gain < 1.0 or the input signal must be scaled down so that the combination of input and filter are never overflowed.
*
* \par
* The third item to consider is the overflow and saturation behavior of the fixed-point Q31 version.
* This is described in the function specific documentation below.
*/
/**
* @addtogroup BiquadCascadeDF1_32x64
* @{
*/
/**
* @details
* @param[in] *S points to an instance of the high precision Q31 Biquad cascade filter.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process.
* @return none.
*
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around rather than clip.
* In order to avoid overflows completely the input signal must be scaled down by 2 bits and lie in the range [-0.25 +0.25).
* After all 5 multiply-accumulates are performed, the 2.62 accumulator is shifted by <code>postShift</code> bits and the result truncated to
* 1.31 format by discarding the low 32 bits.
*
* \par
* Two related functions are provided in the CMSIS DSP library.
* <code>arm_biquad_cascade_df1_q31()</code> implements a Biquad cascade with 32-bit coefficients and state variables with a Q63 accumulator.
* <code>arm_biquad_cascade_df1_fast_q31()</code> implements a Biquad cascade with 32-bit coefficients and state variables with a Q31 accumulator.
*/
void arm_biquad_cas_df1_32x64_q31(
const arm_biquad_cas_df1_32x64_ins_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pIn = pSrc; /* input pointer initialization */
q31_t *pOut = pDst; /* output pointer initialization */
q63_t *pState = S->pState; /* state pointer initialization */
q31_t *pCoeffs = S->pCoeffs; /* coeff pointer initialization */
q63_t acc; /* accumulator */
q31_t Xn1, Xn2; /* Input Filter state variables */
q63_t Yn1, Yn2; /* Output Filter state variables */
q31_t b0, b1, b2, a1, a2; /* Filter coefficients */
q31_t Xn; /* temporary input */
int32_t shift = (int32_t) S->postShift + 1; /* Shift to be applied to the output */
uint32_t sample, stage = S->numStages; /* loop counters */
q31_t acc_l, acc_h; /* temporary output */
uint32_t uShift = ((uint32_t) S->postShift + 1U);
uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/* Reading the state values */
Xn1 = (q31_t) (pState[0]);
Xn2 = (q31_t) (pState[1]);
Yn1 = pState[2];
Yn2 = pState[3];
/* Apply loop unrolling and compute 4 output values simultaneously. */
/* The variable acc hold output value that is being computed and
* stored in the destination buffer
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) Xn *b0;
/* acc += b1 * x[n-1] */
acc += (q63_t) Xn1 *b1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) Xn2 *b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn1, a1);
/* acc += a2 * y[n-2] */
acc += mult32x64(Yn2, a2);
/* The result is converted to 1.63 , Yn2 variable is reused */
Yn2 = acc << shift;
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the output in the destination buffer in 1.31 format. */
*pOut = acc_h;
/* Read the second input into Xn2, to reuse the value */
Xn2 = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc += b1 * x[n-1] */
acc = (q63_t) Xn *b1;
/* acc = b0 * x[n] */
acc += (q63_t) Xn2 *b0;
/* acc += b[2] * x[n-2] */
acc += (q63_t) Xn1 *b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn2, a1);
/* acc += a2 * y[n-2] */
acc += mult32x64(Yn1, a2);
/* The result is converted to 1.63, Yn1 variable is reused */
Yn1 = acc << shift;
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Read the third input into Xn1, to reuse the value */
Xn1 = *pIn++;
/* The result is converted to 1.31 */
/* Store the output in the destination buffer. */
*(pOut + 1U) = acc_h;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) Xn1 *b0;
/* acc += b1 * x[n-1] */
acc += (q63_t) Xn2 *b1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) Xn *b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn1, a1);
/* acc += a2 * y[n-2] */
acc += mult32x64(Yn2, a2);
/* The result is converted to 1.63, Yn2 variable is reused */
Yn2 = acc << shift;
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the output in the destination buffer in 1.31 format. */
*(pOut + 2U) = acc_h;
/* Read the fourth input into Xn, to reuse the value */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) Xn *b0;
/* acc += b1 * x[n-1] */
acc += (q63_t) Xn1 *b1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) Xn2 *b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn2, a1);
/* acc += a2 * y[n-2] */
acc += mult32x64(Yn1, a2);
/* The result is converted to 1.63, Yn1 variable is reused */
Yn1 = acc << shift;
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the output in the destination buffer in 1.31 format. */
*(pOut + 3U) = acc_h;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
/* update output pointer */
pOut += 4U;
/* decrement the loop counter */
sample--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
sample = (blockSize & 0x3U);
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) Xn *b0;
/* acc += b1 * x[n-1] */
acc += (q63_t) Xn1 *b1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) Xn2 *b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn1, a1);
/* acc += a2 * y[n-2] */
acc += mult32x64(Yn2, a2);
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
/* The result is converted to 1.63, Yn1 variable is reused */
Yn1 = acc << shift;
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the output in the destination buffer in 1.31 format. */
*pOut++ = acc_h;
/* Yn1 = acc << shift; */
/* Store the output in the destination buffer in 1.31 format. */
/* *pOut++ = (q31_t) (acc >> (32 - shift)); */
/* decrement the loop counter */
sample--;
}
/* The first stage output is given as input to the second stage. */
pIn = pDst;
/* Reset to destination buffer working pointer */
pOut = pDst;
/* Store the updated state variables back into the pState array */
/* Store the updated state variables back into the pState array */
*pState++ = (q63_t) Xn1;
*pState++ = (q63_t) Xn2;
*pState++ = Yn1;
*pState++ = Yn2;
} while (--stage);
#else
/* Run the below code for Cortex-M0 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/* Reading the state values */
Xn1 = pState[0];
Xn2 = pState[1];
Yn1 = pState[2];
Yn2 = pState[3];
/* The variable acc hold output value that is being computed and
* stored in the destination buffer
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize;
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) Xn *b0;
/* acc += b1 * x[n-1] */
acc += (q63_t) Xn1 *b1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) Xn2 *b2;
/* acc += a1 * y[n-1] */
acc += mult32x64(Yn1, a1);
/* acc += a2 * y[n-2] */
acc += mult32x64(Yn2, a2);
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
/* The result is converted to 1.63, Yn1 variable is reused */
Yn1 = acc << shift;
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc_h = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the output in the destination buffer in 1.31 format. */
*pOut++ = acc_h;
/* Yn1 = acc << shift; */
/* Store the output in the destination buffer in 1.31 format. */
/* *pOut++ = (q31_t) (acc >> (32 - shift)); */
/* decrement the loop counter */
sample--;
}
/* The first stage output is given as input to the second stage. */
pIn = pDst;
/* Reset to destination buffer working pointer */
pOut = pDst;
/* Store the updated state variables back into the pState array */
*pState++ = (q63_t) Xn1;
*pState++ = (q63_t) Xn2;
*pState++ = Yn1;
*pState++ = Yn2;
} while (--stage);
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of BiquadCascadeDF1_32x64 group
*/

View File

@@ -1,412 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_f32.c
* Description: Processing function for the floating-point Biquad cascade DirectFormI(DF1) filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup BiquadCascadeDF1 Biquad Cascade IIR Filters Using Direct Form I Structure
*
* This set of functions implements arbitrary order recursive (IIR) filters.
* The filters are implemented as a cascade of second order Biquad sections.
* The functions support Q15, Q31 and floating-point data types.
* Fast version of Q15 and Q31 also supported on CortexM4 and Cortex-M3.
*
* The functions operate on blocks of input and output data and each call to the function
* processes <code>blockSize</code> samples through the filter.
* <code>pSrc</code> points to the array of input data and
* <code>pDst</code> points to the array of output data.
* Both arrays contain <code>blockSize</code> values.
*
* \par Algorithm
* Each Biquad stage implements a second order filter using the difference equation:
* <pre>
* y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
* </pre>
* A Direct Form I algorithm is used with 5 coefficients and 4 state variables per stage.
* \image html Biquad.gif "Single Biquad filter stage"
* Coefficients <code>b0, b1 and b2 </code> multiply the input signal <code>x[n]</code> and are referred to as the feedforward coefficients.
* Coefficients <code>a1</code> and <code>a2</code> multiply the output signal <code>y[n]</code> and are referred to as the feedback coefficients.
* Pay careful attention to the sign of the feedback coefficients.
* Some design tools use the difference equation
* <pre>
* y[n] = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] - a1 * y[n-1] - a2 * y[n-2]
* </pre>
* In this case the feedback coefficients <code>a1</code> and <code>a2</code> must be negated when used with the CMSIS DSP Library.
*
* \par
* Higher order filters are realized as a cascade of second order sections.
* <code>numStages</code> refers to the number of second order stages used.
* For example, an 8th order filter would be realized with <code>numStages=4</code> second order stages.
* \image html BiquadCascade.gif "8th order filter using a cascade of Biquad stages"
* A 9th order filter would be realized with <code>numStages=5</code> second order stages with the coefficients for one of the stages configured as a first order filter (<code>b2=0</code> and <code>a2=0</code>).
*
* \par
* The <code>pState</code> points to state variables array.
* Each Biquad stage has 4 state variables <code>x[n-1], x[n-2], y[n-1],</code> and <code>y[n-2]</code>.
* The state variables are arranged in the <code>pState</code> array as:
* <pre>
* {x[n-1], x[n-2], y[n-1], y[n-2]}
* </pre>
*
* \par
* The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on.
* The state array has a total length of <code>4*numStages</code> values.
* The state variables are updated after each block of data is processed, the coefficients are untouched.
*
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared.
* There are separate instance structure declarations for each of the 3 supported data types.
*
* \par Init Functions
* There is also an associated initialization function for each data type.
* The initialization function performs following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numStages, pCoeffs, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros before static initialization.
* The code below statically initializes each of the 3 different data type filter instance structures
* <pre>
* arm_biquad_casd_df1_inst_f32 S1 = {numStages, pState, pCoeffs};
* arm_biquad_casd_df1_inst_q15 S2 = {numStages, pState, pCoeffs, postShift};
* arm_biquad_casd_df1_inst_q31 S3 = {numStages, pState, pCoeffs, postShift};
* </pre>
* where <code>numStages</code> is the number of Biquad stages in the filter; <code>pState</code> is the address of the state buffer;
* <code>pCoeffs</code> is the address of the coefficient buffer; <code>postShift</code> shift to be applied.
*
* \par Fixed-Point Behavior
* Care must be taken when using the Q15 and Q31 versions of the Biquad Cascade filter functions.
* Following issues must be considered:
* - Scaling of coefficients
* - Filter gain
* - Overflow and saturation
*
* \par
* <b>Scaling of coefficients: </b>
* Filter coefficients are represented as fractional values and
* coefficients are restricted to lie in the range <code>[-1 +1)</code>.
* The fixed-point functions have an additional scaling parameter <code>postShift</code>
* which allow the filter coefficients to exceed the range <code>[+1 -1)</code>.
* At the output of the filter's accumulator is a shift register which shifts the result by <code>postShift</code> bits.
* \image html BiquadPostshift.gif "Fixed-point Biquad with shift by postShift bits after accumulator"
* This essentially scales the filter coefficients by <code>2^postShift</code>.
* For example, to realize the coefficients
* <pre>
* {1.5, -0.8, 1.2, 1.6, -0.9}
* </pre>
* set the pCoeffs array to:
* <pre>
* {0.75, -0.4, 0.6, 0.8, -0.45}
* </pre>
* and set <code>postShift=1</code>
*
* \par
* <b>Filter gain: </b>
* The frequency response of a Biquad filter is a function of its coefficients.
* It is possible for the gain through the filter to exceed 1.0 meaning that the filter increases the amplitude of certain frequencies.
* This means that an input signal with amplitude < 1.0 may result in an output > 1.0 and these are saturated or overflowed based on the implementation of the filter.
* To avoid this behavior the filter needs to be scaled down such that its peak gain < 1.0 or the input signal must be scaled down so that the combination of input and filter are never overflowed.
*
* \par
* <b>Overflow and saturation: </b>
* For Q15 and Q31 versions, it is described separately as part of the function specific documentation below.
*/
/**
* @addtogroup BiquadCascadeDF1
* @{
*/
/**
* @param[in] *S points to an instance of the floating-point Biquad cascade structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
*/
void arm_biquad_cascade_df1_f32(
const arm_biquad_casd_df1_inst_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pIn = pSrc; /* source pointer */
float32_t *pOut = pDst; /* destination pointer */
float32_t *pState = S->pState; /* pState pointer */
float32_t *pCoeffs = S->pCoeffs; /* coefficient pointer */
float32_t acc; /* Simulates the accumulator */
float32_t b0, b1, b2, a1, a2; /* Filter coefficients */
float32_t Xn1, Xn2, Yn1, Yn2; /* Filter pState variables */
float32_t Xn; /* temporary input */
uint32_t sample, stage = S->numStages; /* loop counters */
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/* Reading the pState values */
Xn1 = pState[0];
Xn2 = pState[1];
Yn1 = pState[2];
Yn2 = pState[3];
/* Apply loop unrolling and compute 4 output values simultaneously. */
/* The variable acc hold output values that are being computed:
*
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (sample > 0U)
{
/* Read the first input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
Yn2 = (b0 * Xn) + (b1 * Xn1) + (b2 * Xn2) + (a1 * Yn1) + (a2 * Yn2);
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = Yn2;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* Read the second input */
Xn2 = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
Yn1 = (b0 * Xn2) + (b1 * Xn) + (b2 * Xn1) + (a1 * Yn2) + (a2 * Yn1);
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = Yn1;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* Read the third input */
Xn1 = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
Yn2 = (b0 * Xn1) + (b1 * Xn2) + (b2 * Xn) + (a1 * Yn1) + (a2 * Yn2);
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = Yn2;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* Read the forth input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
Yn1 = (b0 * Xn) + (b1 * Xn1) + (b2 * Xn2) + (a1 * Yn2) + (a2 * Yn1);
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = Yn1;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
/* decrement the loop counter */
sample--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
sample = blockSize & 0x3U;
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
acc = (b0 * Xn) + (b1 * Xn1) + (b2 * Xn2) + (a1 * Yn1) + (a2 * Yn2);
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = acc;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
Yn1 = acc;
/* decrement the loop counter */
sample--;
}
/* Store the updated state variables back into the pState array */
*pState++ = Xn1;
*pState++ = Xn2;
*pState++ = Yn1;
*pState++ = Yn2;
/* The first stage goes from the input buffer to the output buffer. */
/* Subsequent numStages occur in-place in the output buffer */
pIn = pDst;
/* Reset the output pointer */
pOut = pDst;
/* decrement the loop counter */
stage--;
} while (stage > 0U);
#else
/* Run the below code for Cortex-M0 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/* Reading the pState values */
Xn1 = pState[0];
Xn2 = pState[1];
Yn1 = pState[2];
Yn2 = pState[3];
/* The variables acc holds the output value that is computed:
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize;
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
acc = (b0 * Xn) + (b1 * Xn1) + (b2 * Xn2) + (a1 * Yn1) + (a2 * Yn2);
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = acc;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
Yn1 = acc;
/* decrement the loop counter */
sample--;
}
/* Store the updated state variables back into the pState array */
*pState++ = Xn1;
*pState++ = Xn2;
*pState++ = Yn1;
*pState++ = Yn2;
/* The first stage goes from the input buffer to the output buffer. */
/* Subsequent numStages occur in-place in the output buffer */
pIn = pDst;
/* Reset the output pointer */
pOut = pDst;
/* decrement the loop counter */
stage--;
} while (stage > 0U);
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of BiquadCascadeDF1 group
*/

View File

@@ -1,273 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_fast_q15.c
* Description: Fast processing function for the Q15 Biquad cascade filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF1
* @{
*/
/**
* @details
* @param[in] *S points to an instance of the Q15 Biquad cascade structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* This fast version uses a 32-bit accumulator with 2.30 format.
* The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around and distorts the result.
* In order to avoid overflows completely the input signal must be scaled down by two bits and lie in the range [-0.25 +0.25).
* The 2.30 accumulator is then shifted by <code>postShift</code> bits and the result truncated to 1.15 format by discarding the low 16 bits.
*
* \par
* Refer to the function <code>arm_biquad_cascade_df1_q15()</code> for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion. Both the slow and the fast versions use the same instance structure.
* Use the function <code>arm_biquad_cascade_df1_init_q15()</code> to initialize the filter structure.
*
*/
void arm_biquad_cascade_df1_fast_q15(
const arm_biquad_casd_df1_inst_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pIn = pSrc; /* Source pointer */
q15_t *pOut = pDst; /* Destination pointer */
q31_t in; /* Temporary variable to hold input value */
q31_t out; /* Temporary variable to hold output value */
q31_t b0; /* Temporary variable to hold bo value */
q31_t b1, a1; /* Filter coefficients */
q31_t state_in, state_out; /* Filter state variables */
q31_t acc; /* Accumulator */
int32_t shift = (int32_t) (15 - S->postShift); /* Post shift */
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
uint32_t sample, stage = S->numStages; /* Stage loop counter */
do
{
/* Read the b0 and 0 coefficients using SIMD */
b0 = *__SIMD32(pCoeffs)++;
/* Read the b1 and b2 coefficients using SIMD */
b1 = *__SIMD32(pCoeffs)++;
/* Read the a1 and a2 coefficients using SIMD */
a1 = *__SIMD32(pCoeffs)++;
/* Read the input state values from the state buffer: x[n-1], x[n-2] */
state_in = *__SIMD32(pState)++;
/* Read the output state values from the state buffer: y[n-1], y[n-2] */
state_out = *__SIMD32(pState)--;
/* Apply loop unrolling and compute 2 output values simultaneously. */
/* The variable acc hold output values that are being computed:
*
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize >> 1U;
/* First part of the processing with loop unrolling. Compute 2 outputs at a time.
** a second loop below computes the remaining 1 sample. */
while (sample > 0U)
{
/* Read the input */
in = *__SIMD32(pIn)++;
/* out = b0 * x[n] + 0 * 0 */
out = __SMUAD(b0, in);
/* acc = b1 * x[n-1] + acc += b2 * x[n-2] + out */
acc = __SMLAD(b1, state_in, out);
/* acc += a1 * y[n-1] + acc += a2 * y[n-2] */
acc = __SMLAD(a1, state_out, acc);
/* The result is converted from 3.29 to 1.31 and then saturation is applied */
out = __SSAT((acc >> shift), 16);
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
/* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */
#ifndef ARM_MATH_BIG_ENDIAN
state_in = __PKHBT(in, state_in, 16);
state_out = __PKHBT(out, state_out, 16);
#else
state_in = __PKHBT(state_in >> 16, (in >> 16), 16);
state_out = __PKHBT(state_out >> 16, (out), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* out = b0 * x[n] + 0 * 0 */
out = __SMUADX(b0, in);
/* acc0 = b1 * x[n-1] , acc0 += b2 * x[n-2] + out */
acc = __SMLAD(b1, state_in, out);
/* acc += a1 * y[n-1] + acc += a2 * y[n-2] */
acc = __SMLAD(a1, state_out, acc);
/* The result is converted from 3.29 to 1.31 and then saturation is applied */
out = __SSAT((acc >> shift), 16);
/* Store the output in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ = __PKHBT(state_out, out, 16);
#else
*__SIMD32(pOut)++ = __PKHBT(out, state_out >> 16, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
/* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */
#ifndef ARM_MATH_BIG_ENDIAN
state_in = __PKHBT(in >> 16, state_in, 16);
state_out = __PKHBT(out, state_out, 16);
#else
state_in = __PKHBT(state_in >> 16, in, 16);
state_out = __PKHBT(state_out >> 16, out, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Decrement the loop counter */
sample--;
}
/* If the blockSize is not a multiple of 2, compute any remaining output samples here.
** No loop unrolling is used. */
if ((blockSize & 0x1U) != 0U)
{
/* Read the input */
in = *pIn++;
/* out = b0 * x[n] + 0 * 0 */
#ifndef ARM_MATH_BIG_ENDIAN
out = __SMUAD(b0, in);
#else
out = __SMUADX(b0, in);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* acc = b1 * x[n-1], acc += b2 * x[n-2] + out */
acc = __SMLAD(b1, state_in, out);
/* acc += a1 * y[n-1] + acc += a2 * y[n-2] */
acc = __SMLAD(a1, state_out, acc);
/* The result is converted from 3.29 to 1.31 and then saturation is applied */
out = __SSAT((acc >> shift), 16);
/* Store the output in the destination buffer. */
*pOut++ = (q15_t) out;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
/* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */
#ifndef ARM_MATH_BIG_ENDIAN
state_in = __PKHBT(in, state_in, 16);
state_out = __PKHBT(out, state_out, 16);
#else
state_in = __PKHBT(state_in >> 16, in, 16);
state_out = __PKHBT(state_out >> 16, out, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
}
/* The first stage goes from the input buffer to the output buffer. */
/* Subsequent (numStages - 1) occur in-place in the output buffer */
pIn = pDst;
/* Reset the output pointer */
pOut = pDst;
/* Store the updated state variables back into the state array */
*__SIMD32(pState)++ = state_in;
*__SIMD32(pState)++ = state_out;
/* Decrement the loop counter */
stage--;
} while (stage > 0U);
}
/**
* @} end of BiquadCascadeDF1 group
*/

View File

@@ -1,292 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_fast_q31.c
* Description: Processing function for the Q31 Fast Biquad cascade DirectFormI(DF1) filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF1
* @{
*/
/**
* @details
*
* @param[in] *S points to an instance of the Q31 Biquad cascade structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* This function is optimized for speed at the expense of fixed-point precision and overflow protection.
* The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format.
* These intermediate results are added to a 2.30 accumulator.
* Finally, the accumulator is saturated and converted to a 1.31 result.
* The fast version has the same overflow behavior as the standard version and provides less precision since it discards the low 32 bits of each multiplication result.
* In order to avoid overflows completely the input signal must be scaled down by two bits and lie in the range [-0.25 +0.25). Use the intialization function
* arm_biquad_cascade_df1_init_q31() to initialize filter structure.
*
* \par
* Refer to the function <code>arm_biquad_cascade_df1_q31()</code> for a slower implementation of this function which uses 64-bit accumulation to provide higher precision. Both the slow and the fast versions use the same instance structure.
* Use the function <code>arm_biquad_cascade_df1_init_q31()</code> to initialize the filter structure.
*/
void arm_biquad_cascade_df1_fast_q31(
const arm_biquad_casd_df1_inst_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t acc = 0; /* accumulator */
q31_t Xn1, Xn2, Yn1, Yn2; /* Filter state variables */
q31_t b0, b1, b2, a1, a2; /* Filter coefficients */
q31_t *pIn = pSrc; /* input pointer initialization */
q31_t *pOut = pDst; /* output pointer initialization */
q31_t *pState = S->pState; /* pState pointer initialization */
q31_t *pCoeffs = S->pCoeffs; /* coeff pointer initialization */
q31_t Xn; /* temporary input */
int32_t shift = (int32_t) S->postShift + 1; /* Shift to be applied to the output */
uint32_t sample, stage = S->numStages; /* loop counters */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/* Reading the state values */
Xn1 = pState[0];
Xn2 = pState[1];
Yn1 = pState[2];
Yn2 = pState[3];
/* Apply loop unrolling and compute 4 output values simultaneously. */
/* The variables acc ... acc3 hold output values that are being computed:
*
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (sample > 0U)
{
/* Read the input */
Xn = *pIn;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
/*acc = (q31_t) (((q63_t) b1 * Xn1) >> 32);*/
mult_32x32_keep32_R(acc, b1, Xn1);
/* acc += b1 * x[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b0 * (Xn))) >> 32);*/
multAcc_32x32_keep32_R(acc, b0, Xn);
/* acc += b[2] * x[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, b2, Xn2);
/* acc += a1 * y[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn1))) >> 32);*/
multAcc_32x32_keep32_R(acc, a1, Yn1);
/* acc += a2 * y[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, a2, Yn2);
/* The result is converted to 1.31 , Yn2 variable is reused */
Yn2 = acc << shift;
/* Read the second input */
Xn2 = *(pIn + 1U);
/* Store the output in the destination buffer. */
*pOut = Yn2;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
/*acc = (q31_t) (((q63_t) b0 * (Xn2)) >> 32);*/
mult_32x32_keep32_R(acc, b0, Xn2);
/* acc += b1 * x[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b1 * (Xn))) >> 32);*/
multAcc_32x32_keep32_R(acc, b1, Xn);
/* acc += b[2] * x[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn1))) >> 32);*/
multAcc_32x32_keep32_R(acc, b2, Xn1);
/* acc += a1 * y[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, a1, Yn2);
/* acc += a2 * y[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn1))) >> 32);*/
multAcc_32x32_keep32_R(acc, a2, Yn1);
/* The result is converted to 1.31, Yn1 variable is reused */
Yn1 = acc << shift;
/* Read the third input */
Xn1 = *(pIn + 2U);
/* Store the output in the destination buffer. */
*(pOut + 1U) = Yn1;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
/*acc = (q31_t) (((q63_t) b0 * (Xn1)) >> 32);*/
mult_32x32_keep32_R(acc, b0, Xn1);
/* acc += b1 * x[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b1 * (Xn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, b1, Xn2);
/* acc += b[2] * x[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn))) >> 32);*/
multAcc_32x32_keep32_R(acc, b2, Xn);
/* acc += a1 * y[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn1))) >> 32);*/
multAcc_32x32_keep32_R(acc, a1, Yn1);
/* acc += a2 * y[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, a2, Yn2);
/* The result is converted to 1.31, Yn2 variable is reused */
Yn2 = acc << shift;
/* Read the forth input */
Xn = *(pIn + 3U);
/* Store the output in the destination buffer. */
*(pOut + 2U) = Yn2;
pIn += 4U;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
/*acc = (q31_t) (((q63_t) b0 * (Xn)) >> 32);*/
mult_32x32_keep32_R(acc, b0, Xn);
/* acc += b1 * x[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b1 * (Xn1))) >> 32);*/
multAcc_32x32_keep32_R(acc, b1, Xn1);
/* acc += b[2] * x[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, b2, Xn2);
/* acc += a1 * y[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, a1, Yn2);
/* acc += a2 * y[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn1))) >> 32);*/
multAcc_32x32_keep32_R(acc, a2, Yn1);
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
Xn2 = Xn1;
/* The result is converted to 1.31, Yn1 variable is reused */
Yn1 = acc << shift;
/* Xn1 = Xn */
Xn1 = Xn;
/* Store the output in the destination buffer. */
*(pOut + 3U) = Yn1;
pOut += 4U;
/* decrement the loop counter */
sample--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
sample = (blockSize & 0x3U);
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
/*acc = (q31_t) (((q63_t) b0 * (Xn)) >> 32);*/
mult_32x32_keep32_R(acc, b0, Xn);
/* acc += b1 * x[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b1 * (Xn1))) >> 32);*/
multAcc_32x32_keep32_R(acc, b1, Xn1);
/* acc += b[2] * x[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) b2 * (Xn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, b2, Xn2);
/* acc += a1 * y[n-1] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a1 * (Yn1))) >> 32);*/
multAcc_32x32_keep32_R(acc, a1, Yn1);
/* acc += a2 * y[n-2] */
/*acc = (q31_t) ((((q63_t) acc << 32) + ((q63_t) a2 * (Yn2))) >> 32);*/
multAcc_32x32_keep32_R(acc, a2, Yn2);
/* The result is converted to 1.31 */
acc = acc << shift;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
Yn1 = acc;
/* Store the output in the destination buffer. */
*pOut++ = acc;
/* decrement the loop counter */
sample--;
}
/* The first stage goes from the input buffer to the output buffer. */
/* Subsequent stages occur in-place in the output buffer */
pIn = pDst;
/* Reset to destination pointer */
pOut = pDst;
/* Store the updated state variables back into the pState array */
*pState++ = Xn1;
*pState++ = Xn2;
*pState++ = Yn1;
*pState++ = Yn2;
} while (--stage);
}
/**
* @} end of BiquadCascadeDF1 group
*/

View File

@@ -1,97 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_init_f32.c
* Description: Floating-point Biquad cascade DirectFormI(DF1) filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF1
* @{
*/
/**
* @details
* @brief Initialization function for the floating-point Biquad cascade filter.
* @param[in,out] *S points to an instance of the floating-point Biquad cascade structure.
* @param[in] numStages number of 2nd order stages in the filter.
* @param[in] *pCoeffs points to the filter coefficients array.
* @param[in] *pState points to the state array.
* @return none
*
*
* <b>Coefficient and State Ordering:</b>
*
* \par
* The coefficients are stored in the array <code>pCoeffs</code> in the following order:
* <pre>
* {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
* </pre>
*
* \par
* where <code>b1x</code> and <code>a1x</code> are the coefficients for the first stage,
* <code>b2x</code> and <code>a2x</code> are the coefficients for the second stage,
* and so on. The <code>pCoeffs</code> array contains a total of <code>5*numStages</code> values.
*
* \par
* The <code>pState</code> is a pointer to state array.
* Each Biquad stage has 4 state variables <code>x[n-1], x[n-2], y[n-1],</code> and <code>y[n-2]</code>.
* The state variables are arranged in the <code>pState</code> array as:
* <pre>
* {x[n-1], x[n-2], y[n-1], y[n-2]}
* </pre>
* The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on.
* The state array has a total length of <code>4*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*
*/
void arm_biquad_cascade_df1_init_f32(
arm_biquad_casd_df1_inst_f32 * S,
uint8_t numStages,
float32_t * pCoeffs,
float32_t * pState)
{
/* Assign filter stages */
S->numStages = numStages;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always 4 * numStages */
memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of BiquadCascadeDF1 group
*/

View File

@@ -1,99 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_init_q15.c
* Description: Q15 Biquad cascade DirectFormI(DF1) filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF1
* @{
*/
/**
* @details
*
* @param[in,out] *S points to an instance of the Q15 Biquad cascade structure.
* @param[in] numStages number of 2nd order stages in the filter.
* @param[in] *pCoeffs points to the filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] postShift Shift to be applied to the accumulator result. Varies according to the coefficients format
* @return none
*
* <b>Coefficient and State Ordering:</b>
*
* \par
* The coefficients are stored in the array <code>pCoeffs</code> in the following order:
* <pre>
* {b10, 0, b11, b12, a11, a12, b20, 0, b21, b22, a21, a22, ...}
* </pre>
* where <code>b1x</code> and <code>a1x</code> are the coefficients for the first stage,
* <code>b2x</code> and <code>a2x</code> are the coefficients for the second stage,
* and so on. The <code>pCoeffs</code> array contains a total of <code>6*numStages</code> values.
* The zero coefficient between <code>b1</code> and <code>b2</code> facilities use of 16-bit SIMD instructions on the Cortex-M4.
*
* \par
* The state variables are stored in the array <code>pState</code>.
* Each Biquad stage has 4 state variables <code>x[n-1], x[n-2], y[n-1],</code> and <code>y[n-2]</code>.
* The state variables are arranged in the <code>pState</code> array as:
* <pre>
* {x[n-1], x[n-2], y[n-1], y[n-2]}
* </pre>
* The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on.
* The state array has a total length of <code>4*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*/
void arm_biquad_cascade_df1_init_q15(
arm_biquad_casd_df1_inst_q15 * S,
uint8_t numStages,
q15_t * pCoeffs,
q15_t * pState,
int8_t postShift)
{
/* Assign filter stages */
S->numStages = numStages;
/* Assign postShift to be applied to the output */
S->postShift = postShift;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always 4 * numStages */
memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of BiquadCascadeDF1 group
*/

View File

@@ -1,98 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_init_q31.c
* Description: Q31 Biquad cascade DirectFormI(DF1) filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF1
* @{
*/
/**
* @details
*
* @param[in,out] *S points to an instance of the Q31 Biquad cascade structure.
* @param[in] numStages number of 2nd order stages in the filter.
* @param[in] *pCoeffs points to the filter coefficients buffer.
* @param[in] *pState points to the state buffer.
* @param[in] postShift Shift to be applied after the accumulator. Varies according to the coefficients format
* @return none
*
* <b>Coefficient and State Ordering:</b>
*
* \par
* The coefficients are stored in the array <code>pCoeffs</code> in the following order:
* <pre>
* {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
* </pre>
* where <code>b1x</code> and <code>a1x</code> are the coefficients for the first stage,
* <code>b2x</code> and <code>a2x</code> are the coefficients for the second stage,
* and so on. The <code>pCoeffs</code> array contains a total of <code>5*numStages</code> values.
*
* \par
* The <code>pState</code> points to state variables array.
* Each Biquad stage has 4 state variables <code>x[n-1], x[n-2], y[n-1],</code> and <code>y[n-2]</code>.
* The state variables are arranged in the <code>pState</code> array as:
* <pre>
* {x[n-1], x[n-2], y[n-1], y[n-2]}
* </pre>
* The 4 state variables for stage 1 are first, then the 4 state variables for stage 2, and so on.
* The state array has a total length of <code>4*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*/
void arm_biquad_cascade_df1_init_q31(
arm_biquad_casd_df1_inst_q31 * S,
uint8_t numStages,
q31_t * pCoeffs,
q31_t * pState,
int8_t postShift)
{
/* Assign filter stages */
S->numStages = numStages;
/* Assign postShift to be applied to the output */
S->postShift = postShift;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always 4 * numStages */
memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(q31_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of BiquadCascadeDF1 group
*/

View File

@@ -1,398 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_q15.c
* Description: Processing function for the Q15 Biquad cascade DirectFormI(DF1) filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF1
* @{
*/
/**
* @brief Processing function for the Q15 Biquad cascade filter.
* @param[in] *S points to an instance of the Q15 Biquad cascade structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved.
* The accumulator is then shifted by <code>postShift</code> bits to truncate the result to 1.15 format by discarding the low 16 bits.
* Finally, the result is saturated to 1.15 format.
*
* \par
* Refer to the function <code>arm_biquad_cascade_df1_fast_q15()</code> for a faster but less precise implementation of this filter for Cortex-M3 and Cortex-M4.
*/
void arm_biquad_cascade_df1_q15(
const arm_biquad_casd_df1_inst_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q15_t *pIn = pSrc; /* Source pointer */
q15_t *pOut = pDst; /* Destination pointer */
q31_t in; /* Temporary variable to hold input value */
q31_t out; /* Temporary variable to hold output value */
q31_t b0; /* Temporary variable to hold bo value */
q31_t b1, a1; /* Filter coefficients */
q31_t state_in, state_out; /* Filter state variables */
q31_t acc_l, acc_h;
q63_t acc; /* Accumulator */
int32_t lShift = (15 - (int32_t) S->postShift); /* Post shift */
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
uint32_t sample, stage = (uint32_t) S->numStages; /* Stage loop counter */
int32_t uShift = (32 - lShift);
do
{
/* Read the b0 and 0 coefficients using SIMD */
b0 = *__SIMD32(pCoeffs)++;
/* Read the b1 and b2 coefficients using SIMD */
b1 = *__SIMD32(pCoeffs)++;
/* Read the a1 and a2 coefficients using SIMD */
a1 = *__SIMD32(pCoeffs)++;
/* Read the input state values from the state buffer: x[n-1], x[n-2] */
state_in = *__SIMD32(pState)++;
/* Read the output state values from the state buffer: y[n-1], y[n-2] */
state_out = *__SIMD32(pState)--;
/* Apply loop unrolling and compute 2 output values simultaneously. */
/* The variable acc hold output values that are being computed:
*
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize >> 1U;
/* First part of the processing with loop unrolling. Compute 2 outputs at a time.
** a second loop below computes the remaining 1 sample. */
while (sample > 0U)
{
/* Read the input */
in = *__SIMD32(pIn)++;
/* out = b0 * x[n] + 0 * 0 */
out = __SMUAD(b0, in);
/* acc += b1 * x[n-1] + b2 * x[n-2] + out */
acc = __SMLALD(b1, state_in, out);
/* acc += a1 * y[n-1] + a2 * y[n-2] */
acc = __SMLALD(a1, state_out, acc);
/* The result is converted from 3.29 to 1.31 if postShift = 1, and then saturation is applied */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
out = (uint32_t) acc_l >> lShift | acc_h << uShift;
out = __SSAT(out, 16);
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
/* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */
#ifndef ARM_MATH_BIG_ENDIAN
state_in = __PKHBT(in, state_in, 16);
state_out = __PKHBT(out, state_out, 16);
#else
state_in = __PKHBT(state_in >> 16, (in >> 16), 16);
state_out = __PKHBT(state_out >> 16, (out), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* out = b0 * x[n] + 0 * 0 */
out = __SMUADX(b0, in);
/* acc += b1 * x[n-1] + b2 * x[n-2] + out */
acc = __SMLALD(b1, state_in, out);
/* acc += a1 * y[n-1] + a2 * y[n-2] */
acc = __SMLALD(a1, state_out, acc);
/* The result is converted from 3.29 to 1.31 if postShift = 1, and then saturation is applied */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
out = (uint32_t) acc_l >> lShift | acc_h << uShift;
out = __SSAT(out, 16);
/* Store the output in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ = __PKHBT(state_out, out, 16);
#else
*__SIMD32(pOut)++ = __PKHBT(out, state_out >> 16, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
/* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */
#ifndef ARM_MATH_BIG_ENDIAN
state_in = __PKHBT(in >> 16, state_in, 16);
state_out = __PKHBT(out, state_out, 16);
#else
state_in = __PKHBT(state_in >> 16, in, 16);
state_out = __PKHBT(state_out >> 16, out, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Decrement the loop counter */
sample--;
}
/* If the blockSize is not a multiple of 2, compute any remaining output samples here.
** No loop unrolling is used. */
if ((blockSize & 0x1U) != 0U)
{
/* Read the input */
in = *pIn++;
/* out = b0 * x[n] + 0 * 0 */
#ifndef ARM_MATH_BIG_ENDIAN
out = __SMUAD(b0, in);
#else
out = __SMUADX(b0, in);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* acc = b1 * x[n-1] + b2 * x[n-2] + out */
acc = __SMLALD(b1, state_in, out);
/* acc += a1 * y[n-1] + a2 * y[n-2] */
acc = __SMLALD(a1, state_out, acc);
/* The result is converted from 3.29 to 1.31 if postShift = 1, and then saturation is applied */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
out = (uint32_t) acc_l >> lShift | acc_h << uShift;
out = __SSAT(out, 16);
/* Store the output in the destination buffer. */
*pOut++ = (q15_t) out;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
/* x[n-N], x[n-N-1] are packed together to make state_in of type q31 */
/* y[n-N], y[n-N-1] are packed together to make state_out of type q31 */
#ifndef ARM_MATH_BIG_ENDIAN
state_in = __PKHBT(in, state_in, 16);
state_out = __PKHBT(out, state_out, 16);
#else
state_in = __PKHBT(state_in >> 16, in, 16);
state_out = __PKHBT(state_out >> 16, out, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
}
/* The first stage goes from the input wire to the output wire. */
/* Subsequent numStages occur in-place in the output wire */
pIn = pDst;
/* Reset the output pointer */
pOut = pDst;
/* Store the updated state variables back into the state array */
*__SIMD32(pState)++ = state_in;
*__SIMD32(pState)++ = state_out;
/* Decrement the loop counter */
stage--;
} while (stage > 0U);
#else
/* Run the below code for Cortex-M0 */
q15_t *pIn = pSrc; /* Source pointer */
q15_t *pOut = pDst; /* Destination pointer */
q15_t b0, b1, b2, a1, a2; /* Filter coefficients */
q15_t Xn1, Xn2, Yn1, Yn2; /* Filter state variables */
q15_t Xn; /* temporary input */
q63_t acc; /* Accumulator */
int32_t shift = (15 - (int32_t) S->postShift); /* Post shift */
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
uint32_t sample, stage = (uint32_t) S->numStages; /* Stage loop counter */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
pCoeffs++; // skip the 0 coefficient
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/* Reading the state values */
Xn1 = pState[0];
Xn2 = pState[1];
Yn1 = pState[2];
Yn2 = pState[3];
/* The variables acc holds the output value that is computed:
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize;
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q31_t) b0 *Xn;
/* acc += b1 * x[n-1] */
acc += (q31_t) b1 *Xn1;
/* acc += b[2] * x[n-2] */
acc += (q31_t) b2 *Xn2;
/* acc += a1 * y[n-1] */
acc += (q31_t) a1 *Yn1;
/* acc += a2 * y[n-2] */
acc += (q31_t) a2 *Yn2;
/* The result is converted to 1.31 */
acc = __SSAT((acc >> shift), 16);
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
Yn1 = (q15_t) acc;
/* Store the output in the destination buffer. */
*pOut++ = (q15_t) acc;
/* decrement the loop counter */
sample--;
}
/* The first stage goes from the input buffer to the output buffer. */
/* Subsequent stages occur in-place in the output buffer */
pIn = pDst;
/* Reset to destination pointer */
pOut = pDst;
/* Store the updated state variables back into the pState array */
*pState++ = Xn1;
*pState++ = Xn2;
*pState++ = Yn1;
*pState++ = Yn2;
} while (--stage);
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of BiquadCascadeDF1 group
*/

View File

@@ -1,392 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df1_q31.c
* Description: Processing function for the Q31 Biquad cascade filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF1
* @{
*/
/**
* @brief Processing function for the Q31 Biquad cascade filter.
* @param[in] *S points to an instance of the Q31 Biquad cascade structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around rather than clip.
* In order to avoid overflows completely the input signal must be scaled down by 2 bits and lie in the range [-0.25 +0.25).
* After all 5 multiply-accumulates are performed, the 2.62 accumulator is shifted by <code>postShift</code> bits and the result truncated to
* 1.31 format by discarding the low 32 bits.
*
* \par
* Refer to the function <code>arm_biquad_cascade_df1_fast_q31()</code> for a faster but less precise implementation of this filter for Cortex-M3 and Cortex-M4.
*/
void arm_biquad_cascade_df1_q31(
const arm_biquad_casd_df1_inst_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q63_t acc; /* accumulator */
uint32_t uShift = ((uint32_t) S->postShift + 1U);
uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */
q31_t *pIn = pSrc; /* input pointer initialization */
q31_t *pOut = pDst; /* output pointer initialization */
q31_t *pState = S->pState; /* pState pointer initialization */
q31_t *pCoeffs = S->pCoeffs; /* coeff pointer initialization */
q31_t Xn1, Xn2, Yn1, Yn2; /* Filter state variables */
q31_t b0, b1, b2, a1, a2; /* Filter coefficients */
q31_t Xn; /* temporary input */
uint32_t sample, stage = S->numStages; /* loop counters */
#if defined (ARM_MATH_DSP)
q31_t acc_l, acc_h; /* temporary output variables */
/* Run the below code for Cortex-M4 and Cortex-M3 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/* Reading the state values */
Xn1 = pState[0];
Xn2 = pState[1];
Yn1 = pState[2];
Yn2 = pState[3];
/* Apply loop unrolling and compute 4 output values simultaneously. */
/* The variable acc hold output values that are being computed:
*
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) b0 *Xn;
/* acc += b1 * x[n-1] */
acc += (q63_t) b1 *Xn1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) b2 *Xn2;
/* acc += a1 * y[n-1] */
acc += (q63_t) a1 *Yn1;
/* acc += a2 * y[n-2] */
acc += (q63_t) a2 *Yn2;
/* The result is converted to 1.31 , Yn2 variable is reused */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
Yn2 = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the output in the destination buffer. */
*pOut++ = Yn2;
/* Read the second input */
Xn2 = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) b0 *Xn2;
/* acc += b1 * x[n-1] */
acc += (q63_t) b1 *Xn;
/* acc += b[2] * x[n-2] */
acc += (q63_t) b2 *Xn1;
/* acc += a1 * y[n-1] */
acc += (q63_t) a1 *Yn2;
/* acc += a2 * y[n-2] */
acc += (q63_t) a2 *Yn1;
/* The result is converted to 1.31, Yn1 variable is reused */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
Yn1 = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the output in the destination buffer. */
*pOut++ = Yn1;
/* Read the third input */
Xn1 = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) b0 *Xn1;
/* acc += b1 * x[n-1] */
acc += (q63_t) b1 *Xn2;
/* acc += b[2] * x[n-2] */
acc += (q63_t) b2 *Xn;
/* acc += a1 * y[n-1] */
acc += (q63_t) a1 *Yn1;
/* acc += a2 * y[n-2] */
acc += (q63_t) a2 *Yn2;
/* The result is converted to 1.31, Yn2 variable is reused */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
Yn2 = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the output in the destination buffer. */
*pOut++ = Yn2;
/* Read the forth input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) b0 *Xn;
/* acc += b1 * x[n-1] */
acc += (q63_t) b1 *Xn1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) b2 *Xn2;
/* acc += a1 * y[n-1] */
acc += (q63_t) a1 *Yn2;
/* acc += a2 * y[n-2] */
acc += (q63_t) a2 *Yn1;
/* The result is converted to 1.31, Yn1 variable is reused */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
Yn1 = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
/* Store the output in the destination buffer. */
*pOut++ = Yn1;
/* decrement the loop counter */
sample--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
sample = (blockSize & 0x3U);
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) b0 *Xn;
/* acc += b1 * x[n-1] */
acc += (q63_t) b1 *Xn1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) b2 *Xn2;
/* acc += a1 * y[n-1] */
acc += (q63_t) a1 *Yn1;
/* acc += a2 * y[n-2] */
acc += (q63_t) a2 *Yn2;
/* The result is converted to 1.31 */
acc = acc >> lShift;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
Yn1 = (q31_t) acc;
/* Store the output in the destination buffer. */
*pOut++ = (q31_t) acc;
/* decrement the loop counter */
sample--;
}
/* The first stage goes from the input buffer to the output buffer. */
/* Subsequent stages occur in-place in the output buffer */
pIn = pDst;
/* Reset to destination pointer */
pOut = pDst;
/* Store the updated state variables back into the pState array */
*pState++ = Xn1;
*pState++ = Xn2;
*pState++ = Yn1;
*pState++ = Yn2;
} while (--stage);
#else
/* Run the below code for Cortex-M0 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/* Reading the state values */
Xn1 = pState[0];
Xn2 = pState[1];
Yn1 = pState[2];
Yn2 = pState[3];
/* The variables acc holds the output value that is computed:
* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2]
*/
sample = blockSize;
while (sample > 0U)
{
/* Read the input */
Xn = *pIn++;
/* acc = b0 * x[n] + b1 * x[n-1] + b2 * x[n-2] + a1 * y[n-1] + a2 * y[n-2] */
/* acc = b0 * x[n] */
acc = (q63_t) b0 *Xn;
/* acc += b1 * x[n-1] */
acc += (q63_t) b1 *Xn1;
/* acc += b[2] * x[n-2] */
acc += (q63_t) b2 *Xn2;
/* acc += a1 * y[n-1] */
acc += (q63_t) a1 *Yn1;
/* acc += a2 * y[n-2] */
acc += (q63_t) a2 *Yn2;
/* The result is converted to 1.31 */
acc = acc >> lShift;
/* Every time after the output is computed state should be updated. */
/* The states should be updated as: */
/* Xn2 = Xn1 */
/* Xn1 = Xn */
/* Yn2 = Yn1 */
/* Yn1 = acc */
Xn2 = Xn1;
Xn1 = Xn;
Yn2 = Yn1;
Yn1 = (q31_t) acc;
/* Store the output in the destination buffer. */
*pOut++ = (q31_t) acc;
/* decrement the loop counter */
sample--;
}
/* The first stage goes from the input buffer to the output buffer. */
/* Subsequent stages occur in-place in the output buffer */
pIn = pDst;
/* Reset to destination pointer */
pOut = pDst;
/* Store the updated state variables back into the pState array */
*pState++ = Xn1;
*pState++ = Xn2;
*pState++ = Yn1;
*pState++ = Yn2;
} while (--stage);
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of BiquadCascadeDF1 group
*/

View File

@@ -1,590 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df2T_f32.c
* Description: Processing function for floating-point transposed direct form II Biquad cascade filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup BiquadCascadeDF2T Biquad Cascade IIR Filters Using a Direct Form II Transposed Structure
*
* This set of functions implements arbitrary order recursive (IIR) filters using a transposed direct form II structure.
* The filters are implemented as a cascade of second order Biquad sections.
* These functions provide a slight memory savings as compared to the direct form I Biquad filter functions.
* Only floating-point data is supported.
*
* This function operate on blocks of input and output data and each call to the function
* processes <code>blockSize</code> samples through the filter.
* <code>pSrc</code> points to the array of input data and
* <code>pDst</code> points to the array of output data.
* Both arrays contain <code>blockSize</code> values.
*
* \par Algorithm
* Each Biquad stage implements a second order filter using the difference equation:
* <pre>
* y[n] = b0 * x[n] + d1
* d1 = b1 * x[n] + a1 * y[n] + d2
* d2 = b2 * x[n] + a2 * y[n]
* </pre>
* where d1 and d2 represent the two state values.
*
* \par
* A Biquad filter using a transposed Direct Form II structure is shown below.
* \image html BiquadDF2Transposed.gif "Single transposed Direct Form II Biquad"
* Coefficients <code>b0, b1, and b2 </code> multiply the input signal <code>x[n]</code> and are referred to as the feedforward coefficients.
* Coefficients <code>a1</code> and <code>a2</code> multiply the output signal <code>y[n]</code> and are referred to as the feedback coefficients.
* Pay careful attention to the sign of the feedback coefficients.
* Some design tools flip the sign of the feedback coefficients:
* <pre>
* y[n] = b0 * x[n] + d1;
* d1 = b1 * x[n] - a1 * y[n] + d2;
* d2 = b2 * x[n] - a2 * y[n];
* </pre>
* In this case the feedback coefficients <code>a1</code> and <code>a2</code> must be negated when used with the CMSIS DSP Library.
*
* \par
* Higher order filters are realized as a cascade of second order sections.
* <code>numStages</code> refers to the number of second order stages used.
* For example, an 8th order filter would be realized with <code>numStages=4</code> second order stages.
* A 9th order filter would be realized with <code>numStages=5</code> second order stages with the
* coefficients for one of the stages configured as a first order filter (<code>b2=0</code> and <code>a2=0</code>).
*
* \par
* <code>pState</code> points to the state variable array.
* Each Biquad stage has 2 state variables <code>d1</code> and <code>d2</code>.
* The state variables are arranged in the <code>pState</code> array as:
* <pre>
* {d11, d12, d21, d22, ...}
* </pre>
* where <code>d1x</code> refers to the state variables for the first Biquad and
* <code>d2x</code> refers to the state variables for the second Biquad.
* The state array has a total length of <code>2*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*
* \par
* The CMSIS library contains Biquad filters in both Direct Form I and transposed Direct Form II.
* The advantage of the Direct Form I structure is that it is numerically more robust for fixed-point data types.
* That is why the Direct Form I structure supports Q15 and Q31 data types.
* The transposed Direct Form II structure, on the other hand, requires a wide dynamic range for the state variables <code>d1</code> and <code>d2</code>.
* Because of this, the CMSIS library only has a floating-point version of the Direct Form II Biquad.
* The advantage of the Direct Form II Biquad is that it requires half the number of state variables, 2 rather than 4, per Biquad stage.
*
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared.
*
* \par Init Functions
* There is also an associated initialization function.
* The initialization function performs following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numStages, pCoeffs, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros before static initialization.
* For example, to statically initialize the instance structure use
* <pre>
* arm_biquad_cascade_df2T_instance_f32 S1 = {numStages, pState, pCoeffs};
* </pre>
* where <code>numStages</code> is the number of Biquad stages in the filter; <code>pState</code> is the address of the state buffer.
* <code>pCoeffs</code> is the address of the coefficient buffer;
*
*/
/**
* @addtogroup BiquadCascadeDF2T
* @{
*/
/**
* @brief Processing function for the floating-point transposed direct form II Biquad cascade filter.
* @param[in] *S points to an instance of the filter data structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of samples to process.
* @return none.
*/
LOW_OPTIMIZATION_ENTER
void arm_biquad_cascade_df2T_f32(
const arm_biquad_cascade_df2T_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pIn = pSrc; /* source pointer */
float32_t *pOut = pDst; /* destination pointer */
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* coefficient pointer */
float32_t acc1; /* accumulator */
float32_t b0, b1, b2, a1, a2; /* Filter coefficients */
float32_t Xn1; /* temporary input */
float32_t d1, d2; /* state variables */
uint32_t sample, stage = S->numStages; /* loop counters */
#if defined(ARM_MATH_CM7)
float32_t Xn2, Xn3, Xn4, Xn5, Xn6, Xn7, Xn8; /* Input State variables */
float32_t Xn9, Xn10, Xn11, Xn12, Xn13, Xn14, Xn15, Xn16;
float32_t acc2, acc3, acc4, acc5, acc6, acc7; /* Simulates the accumulator */
float32_t acc8, acc9, acc10, acc11, acc12, acc13, acc14, acc15, acc16;
do
{
/* Reading the coefficients */
b0 = pCoeffs[0];
b1 = pCoeffs[1];
b2 = pCoeffs[2];
a1 = pCoeffs[3];
/* Apply loop unrolling and compute 16 output values simultaneously. */
sample = blockSize >> 4U;
a2 = pCoeffs[4];
/*Reading the state values */
d1 = pState[0];
d2 = pState[1];
pCoeffs += 5U;
/* First part of the processing with loop unrolling. Compute 16 outputs at a time.
** a second loop below computes the remaining 1 to 15 samples. */
while (sample > 0U) {
/* y[n] = b0 * x[n] + d1 */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
/* d2 = b2 * x[n] + a2 * y[n] */
/* Read the first 2 inputs. 2 cycles */
Xn1 = pIn[0 ];
Xn2 = pIn[1 ];
/* Sample 1. 5 cycles */
Xn3 = pIn[2 ];
acc1 = b0 * Xn1 + d1;
Xn4 = pIn[3 ];
d1 = b1 * Xn1 + d2;
Xn5 = pIn[4 ];
d2 = b2 * Xn1;
Xn6 = pIn[5 ];
d1 += a1 * acc1;
Xn7 = pIn[6 ];
d2 += a2 * acc1;
/* Sample 2. 5 cycles */
Xn8 = pIn[7 ];
acc2 = b0 * Xn2 + d1;
Xn9 = pIn[8 ];
d1 = b1 * Xn2 + d2;
Xn10 = pIn[9 ];
d2 = b2 * Xn2;
Xn11 = pIn[10];
d1 += a1 * acc2;
Xn12 = pIn[11];
d2 += a2 * acc2;
/* Sample 3. 5 cycles */
Xn13 = pIn[12];
acc3 = b0 * Xn3 + d1;
Xn14 = pIn[13];
d1 = b1 * Xn3 + d2;
Xn15 = pIn[14];
d2 = b2 * Xn3;
Xn16 = pIn[15];
d1 += a1 * acc3;
pIn += 16;
d2 += a2 * acc3;
/* Sample 4. 5 cycles */
acc4 = b0 * Xn4 + d1;
d1 = b1 * Xn4 + d2;
d2 = b2 * Xn4;
d1 += a1 * acc4;
d2 += a2 * acc4;
/* Sample 5. 5 cycles */
acc5 = b0 * Xn5 + d1;
d1 = b1 * Xn5 + d2;
d2 = b2 * Xn5;
d1 += a1 * acc5;
d2 += a2 * acc5;
/* Sample 6. 5 cycles */
acc6 = b0 * Xn6 + d1;
d1 = b1 * Xn6 + d2;
d2 = b2 * Xn6;
d1 += a1 * acc6;
d2 += a2 * acc6;
/* Sample 7. 5 cycles */
acc7 = b0 * Xn7 + d1;
d1 = b1 * Xn7 + d2;
d2 = b2 * Xn7;
d1 += a1 * acc7;
d2 += a2 * acc7;
/* Sample 8. 5 cycles */
acc8 = b0 * Xn8 + d1;
d1 = b1 * Xn8 + d2;
d2 = b2 * Xn8;
d1 += a1 * acc8;
d2 += a2 * acc8;
/* Sample 9. 5 cycles */
acc9 = b0 * Xn9 + d1;
d1 = b1 * Xn9 + d2;
d2 = b2 * Xn9;
d1 += a1 * acc9;
d2 += a2 * acc9;
/* Sample 10. 5 cycles */
acc10 = b0 * Xn10 + d1;
d1 = b1 * Xn10 + d2;
d2 = b2 * Xn10;
d1 += a1 * acc10;
d2 += a2 * acc10;
/* Sample 11. 5 cycles */
acc11 = b0 * Xn11 + d1;
d1 = b1 * Xn11 + d2;
d2 = b2 * Xn11;
d1 += a1 * acc11;
d2 += a2 * acc11;
/* Sample 12. 5 cycles */
acc12 = b0 * Xn12 + d1;
d1 = b1 * Xn12 + d2;
d2 = b2 * Xn12;
d1 += a1 * acc12;
d2 += a2 * acc12;
/* Sample 13. 5 cycles */
acc13 = b0 * Xn13 + d1;
d1 = b1 * Xn13 + d2;
d2 = b2 * Xn13;
pOut[0 ] = acc1 ;
d1 += a1 * acc13;
pOut[1 ] = acc2 ;
d2 += a2 * acc13;
/* Sample 14. 5 cycles */
pOut[2 ] = acc3 ;
acc14 = b0 * Xn14 + d1;
pOut[3 ] = acc4 ;
d1 = b1 * Xn14 + d2;
pOut[4 ] = acc5 ;
d2 = b2 * Xn14;
pOut[5 ] = acc6 ;
d1 += a1 * acc14;
pOut[6 ] = acc7 ;
d2 += a2 * acc14;
/* Sample 15. 5 cycles */
pOut[7 ] = acc8 ;
pOut[8 ] = acc9 ;
acc15 = b0 * Xn15 + d1;
pOut[9 ] = acc10;
d1 = b1 * Xn15 + d2;
pOut[10] = acc11;
d2 = b2 * Xn15;
pOut[11] = acc12;
d1 += a1 * acc15;
pOut[12] = acc13;
d2 += a2 * acc15;
/* Sample 16. 5 cycles */
pOut[13] = acc14;
acc16 = b0 * Xn16 + d1;
pOut[14] = acc15;
d1 = b1 * Xn16 + d2;
pOut[15] = acc16;
d2 = b2 * Xn16;
sample--;
d1 += a1 * acc16;
pOut += 16;
d2 += a2 * acc16;
}
sample = blockSize & 0xFu;
while (sample > 0U) {
Xn1 = *pIn;
acc1 = b0 * Xn1 + d1;
pIn++;
d1 = b1 * Xn1 + d2;
*pOut = acc1;
d2 = b2 * Xn1;
pOut++;
d1 += a1 * acc1;
sample--;
d2 += a2 * acc1;
}
/* Store the updated state variables back into the state array */
pState[0] = d1;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
pState[1] = d2;
/* decrement the loop counter */
stage--;
pState += 2U;
/*Reset the output working pointer */
pOut = pDst;
} while (stage > 0U);
#elif defined(ARM_MATH_CM0_FAMILY)
/* Run the below code for Cortex-M0 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/*Reading the state values */
d1 = pState[0];
d2 = pState[1];
sample = blockSize;
while (sample > 0U)
{
/* Read the input */
Xn1 = *pIn++;
/* y[n] = b0 * x[n] + d1 */
acc1 = (b0 * Xn1) + d1;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = acc1;
/* Every time after the output is computed state should be updated. */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
d1 = ((b1 * Xn1) + (a1 * acc1)) + d2;
/* d2 = b2 * x[n] + a2 * y[n] */
d2 = (b2 * Xn1) + (a2 * acc1);
/* decrement the loop counter */
sample--;
}
/* Store the updated state variables back into the state array */
*pState++ = d1;
*pState++ = d2;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
/*Reset the output working pointer */
pOut = pDst;
/* decrement the loop counter */
stage--;
} while (stage > 0U);
#else
float32_t Xn2, Xn3, Xn4; /* Input State variables */
float32_t acc2, acc3, acc4; /* accumulator */
float32_t p0, p1, p2, p3, p4, A1;
/* Run the below code for Cortex-M4 and Cortex-M3 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/*Reading the state values */
d1 = pState[0];
d2 = pState[1];
/* Apply loop unrolling and compute 4 output values simultaneously. */
sample = blockSize >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (sample > 0U) {
/* y[n] = b0 * x[n] + d1 */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
/* d2 = b2 * x[n] + a2 * y[n] */
/* Read the four inputs */
Xn1 = pIn[0];
Xn2 = pIn[1];
Xn3 = pIn[2];
Xn4 = pIn[3];
pIn += 4;
p0 = b0 * Xn1;
p1 = b1 * Xn1;
acc1 = p0 + d1;
p0 = b0 * Xn2;
p3 = a1 * acc1;
p2 = b2 * Xn1;
A1 = p1 + p3;
p4 = a2 * acc1;
d1 = A1 + d2;
d2 = p2 + p4;
p1 = b1 * Xn2;
acc2 = p0 + d1;
p0 = b0 * Xn3;
p3 = a1 * acc2;
p2 = b2 * Xn2;
A1 = p1 + p3;
p4 = a2 * acc2;
d1 = A1 + d2;
d2 = p2 + p4;
p1 = b1 * Xn3;
acc3 = p0 + d1;
p0 = b0 * Xn4;
p3 = a1 * acc3;
p2 = b2 * Xn3;
A1 = p1 + p3;
p4 = a2 * acc3;
d1 = A1 + d2;
d2 = p2 + p4;
acc4 = p0 + d1;
p1 = b1 * Xn4;
p3 = a1 * acc4;
p2 = b2 * Xn4;
A1 = p1 + p3;
p4 = a2 * acc4;
d1 = A1 + d2;
d2 = p2 + p4;
pOut[0] = acc1;
pOut[1] = acc2;
pOut[2] = acc3;
pOut[3] = acc4;
pOut += 4;
sample--;
}
sample = blockSize & 0x3U;
while (sample > 0U) {
Xn1 = *pIn++;
p0 = b0 * Xn1;
p1 = b1 * Xn1;
acc1 = p0 + d1;
p3 = a1 * acc1;
p2 = b2 * Xn1;
A1 = p1 + p3;
p4 = a2 * acc1;
d1 = A1 + d2;
d2 = p2 + p4;
*pOut++ = acc1;
sample--;
}
/* Store the updated state variables back into the state array */
*pState++ = d1;
*pState++ = d2;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
/*Reset the output working pointer */
pOut = pDst;
/* decrement the loop counter */
stage--;
} while (stage > 0U);
#endif
}
LOW_OPTIMIZATION_EXIT
/**
* @} end of BiquadCascadeDF2T group
*/

View File

@@ -1,590 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df2T_f64.c
* Description: Processing function for floating-point transposed direct form II Biquad cascade filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup BiquadCascadeDF2T Biquad Cascade IIR Filters Using a Direct Form II Transposed Structure
*
* This set of functions implements arbitrary order recursive (IIR) filters using a transposed direct form II structure.
* The filters are implemented as a cascade of second order Biquad sections.
* These functions provide a slight memory savings as compared to the direct form I Biquad filter functions.
* Only floating-point data is supported.
*
* This function operate on blocks of input and output data and each call to the function
* processes <code>blockSize</code> samples through the filter.
* <code>pSrc</code> points to the array of input data and
* <code>pDst</code> points to the array of output data.
* Both arrays contain <code>blockSize</code> values.
*
* \par Algorithm
* Each Biquad stage implements a second order filter using the difference equation:
* <pre>
* y[n] = b0 * x[n] + d1
* d1 = b1 * x[n] + a1 * y[n] + d2
* d2 = b2 * x[n] + a2 * y[n]
* </pre>
* where d1 and d2 represent the two state values.
*
* \par
* A Biquad filter using a transposed Direct Form II structure is shown below.
* \image html BiquadDF2Transposed.gif "Single transposed Direct Form II Biquad"
* Coefficients <code>b0, b1, and b2 </code> multiply the input signal <code>x[n]</code> and are referred to as the feedforward coefficients.
* Coefficients <code>a1</code> and <code>a2</code> multiply the output signal <code>y[n]</code> and are referred to as the feedback coefficients.
* Pay careful attention to the sign of the feedback coefficients.
* Some design tools flip the sign of the feedback coefficients:
* <pre>
* y[n] = b0 * x[n] + d1;
* d1 = b1 * x[n] - a1 * y[n] + d2;
* d2 = b2 * x[n] - a2 * y[n];
* </pre>
* In this case the feedback coefficients <code>a1</code> and <code>a2</code> must be negated when used with the CMSIS DSP Library.
*
* \par
* Higher order filters are realized as a cascade of second order sections.
* <code>numStages</code> refers to the number of second order stages used.
* For example, an 8th order filter would be realized with <code>numStages=4</code> second order stages.
* A 9th order filter would be realized with <code>numStages=5</code> second order stages with the
* coefficients for one of the stages configured as a first order filter (<code>b2=0</code> and <code>a2=0</code>).
*
* \par
* <code>pState</code> points to the state variable array.
* Each Biquad stage has 2 state variables <code>d1</code> and <code>d2</code>.
* The state variables are arranged in the <code>pState</code> array as:
* <pre>
* {d11, d12, d21, d22, ...}
* </pre>
* where <code>d1x</code> refers to the state variables for the first Biquad and
* <code>d2x</code> refers to the state variables for the second Biquad.
* The state array has a total length of <code>2*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*
* \par
* The CMSIS library contains Biquad filters in both Direct Form I and transposed Direct Form II.
* The advantage of the Direct Form I structure is that it is numerically more robust for fixed-point data types.
* That is why the Direct Form I structure supports Q15 and Q31 data types.
* The transposed Direct Form II structure, on the other hand, requires a wide dynamic range for the state variables <code>d1</code> and <code>d2</code>.
* Because of this, the CMSIS library only has a floating-point version of the Direct Form II Biquad.
* The advantage of the Direct Form II Biquad is that it requires half the number of state variables, 2 rather than 4, per Biquad stage.
*
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared.
*
* \par Init Functions
* There is also an associated initialization function.
* The initialization function performs following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numStages, pCoeffs, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros before static initialization.
* For example, to statically initialize the instance structure use
* <pre>
* arm_biquad_cascade_df2T_instance_f64 S1 = {numStages, pState, pCoeffs};
* </pre>
* where <code>numStages</code> is the number of Biquad stages in the filter; <code>pState</code> is the address of the state buffer.
* <code>pCoeffs</code> is the address of the coefficient buffer;
*
*/
/**
* @addtogroup BiquadCascadeDF2T
* @{
*/
/**
* @brief Processing function for the floating-point transposed direct form II Biquad cascade filter.
* @param[in] *S points to an instance of the filter data structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of samples to process.
* @return none.
*/
LOW_OPTIMIZATION_ENTER
void arm_biquad_cascade_df2T_f64(
const arm_biquad_cascade_df2T_instance_f64 * S,
float64_t * pSrc,
float64_t * pDst,
uint32_t blockSize)
{
float64_t *pIn = pSrc; /* source pointer */
float64_t *pOut = pDst; /* destination pointer */
float64_t *pState = S->pState; /* State pointer */
float64_t *pCoeffs = S->pCoeffs; /* coefficient pointer */
float64_t acc1; /* accumulator */
float64_t b0, b1, b2, a1, a2; /* Filter coefficients */
float64_t Xn1; /* temporary input */
float64_t d1, d2; /* state variables */
uint32_t sample, stage = S->numStages; /* loop counters */
#if defined(ARM_MATH_CM7)
float64_t Xn2, Xn3, Xn4, Xn5, Xn6, Xn7, Xn8; /* Input State variables */
float64_t Xn9, Xn10, Xn11, Xn12, Xn13, Xn14, Xn15, Xn16;
float64_t acc2, acc3, acc4, acc5, acc6, acc7; /* Simulates the accumulator */
float64_t acc8, acc9, acc10, acc11, acc12, acc13, acc14, acc15, acc16;
do
{
/* Reading the coefficients */
b0 = pCoeffs[0];
b1 = pCoeffs[1];
b2 = pCoeffs[2];
a1 = pCoeffs[3];
/* Apply loop unrolling and compute 16 output values simultaneously. */
sample = blockSize >> 4U;
a2 = pCoeffs[4];
/*Reading the state values */
d1 = pState[0];
d2 = pState[1];
pCoeffs += 5U;
/* First part of the processing with loop unrolling. Compute 16 outputs at a time.
** a second loop below computes the remaining 1 to 15 samples. */
while (sample > 0U) {
/* y[n] = b0 * x[n] + d1 */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
/* d2 = b2 * x[n] + a2 * y[n] */
/* Read the first 2 inputs. 2 cycles */
Xn1 = pIn[0 ];
Xn2 = pIn[1 ];
/* Sample 1. 5 cycles */
Xn3 = pIn[2 ];
acc1 = b0 * Xn1 + d1;
Xn4 = pIn[3 ];
d1 = b1 * Xn1 + d2;
Xn5 = pIn[4 ];
d2 = b2 * Xn1;
Xn6 = pIn[5 ];
d1 += a1 * acc1;
Xn7 = pIn[6 ];
d2 += a2 * acc1;
/* Sample 2. 5 cycles */
Xn8 = pIn[7 ];
acc2 = b0 * Xn2 + d1;
Xn9 = pIn[8 ];
d1 = b1 * Xn2 + d2;
Xn10 = pIn[9 ];
d2 = b2 * Xn2;
Xn11 = pIn[10];
d1 += a1 * acc2;
Xn12 = pIn[11];
d2 += a2 * acc2;
/* Sample 3. 5 cycles */
Xn13 = pIn[12];
acc3 = b0 * Xn3 + d1;
Xn14 = pIn[13];
d1 = b1 * Xn3 + d2;
Xn15 = pIn[14];
d2 = b2 * Xn3;
Xn16 = pIn[15];
d1 += a1 * acc3;
pIn += 16;
d2 += a2 * acc3;
/* Sample 4. 5 cycles */
acc4 = b0 * Xn4 + d1;
d1 = b1 * Xn4 + d2;
d2 = b2 * Xn4;
d1 += a1 * acc4;
d2 += a2 * acc4;
/* Sample 5. 5 cycles */
acc5 = b0 * Xn5 + d1;
d1 = b1 * Xn5 + d2;
d2 = b2 * Xn5;
d1 += a1 * acc5;
d2 += a2 * acc5;
/* Sample 6. 5 cycles */
acc6 = b0 * Xn6 + d1;
d1 = b1 * Xn6 + d2;
d2 = b2 * Xn6;
d1 += a1 * acc6;
d2 += a2 * acc6;
/* Sample 7. 5 cycles */
acc7 = b0 * Xn7 + d1;
d1 = b1 * Xn7 + d2;
d2 = b2 * Xn7;
d1 += a1 * acc7;
d2 += a2 * acc7;
/* Sample 8. 5 cycles */
acc8 = b0 * Xn8 + d1;
d1 = b1 * Xn8 + d2;
d2 = b2 * Xn8;
d1 += a1 * acc8;
d2 += a2 * acc8;
/* Sample 9. 5 cycles */
acc9 = b0 * Xn9 + d1;
d1 = b1 * Xn9 + d2;
d2 = b2 * Xn9;
d1 += a1 * acc9;
d2 += a2 * acc9;
/* Sample 10. 5 cycles */
acc10 = b0 * Xn10 + d1;
d1 = b1 * Xn10 + d2;
d2 = b2 * Xn10;
d1 += a1 * acc10;
d2 += a2 * acc10;
/* Sample 11. 5 cycles */
acc11 = b0 * Xn11 + d1;
d1 = b1 * Xn11 + d2;
d2 = b2 * Xn11;
d1 += a1 * acc11;
d2 += a2 * acc11;
/* Sample 12. 5 cycles */
acc12 = b0 * Xn12 + d1;
d1 = b1 * Xn12 + d2;
d2 = b2 * Xn12;
d1 += a1 * acc12;
d2 += a2 * acc12;
/* Sample 13. 5 cycles */
acc13 = b0 * Xn13 + d1;
d1 = b1 * Xn13 + d2;
d2 = b2 * Xn13;
pOut[0 ] = acc1 ;
d1 += a1 * acc13;
pOut[1 ] = acc2 ;
d2 += a2 * acc13;
/* Sample 14. 5 cycles */
pOut[2 ] = acc3 ;
acc14 = b0 * Xn14 + d1;
pOut[3 ] = acc4 ;
d1 = b1 * Xn14 + d2;
pOut[4 ] = acc5 ;
d2 = b2 * Xn14;
pOut[5 ] = acc6 ;
d1 += a1 * acc14;
pOut[6 ] = acc7 ;
d2 += a2 * acc14;
/* Sample 15. 5 cycles */
pOut[7 ] = acc8 ;
pOut[8 ] = acc9 ;
acc15 = b0 * Xn15 + d1;
pOut[9 ] = acc10;
d1 = b1 * Xn15 + d2;
pOut[10] = acc11;
d2 = b2 * Xn15;
pOut[11] = acc12;
d1 += a1 * acc15;
pOut[12] = acc13;
d2 += a2 * acc15;
/* Sample 16. 5 cycles */
pOut[13] = acc14;
acc16 = b0 * Xn16 + d1;
pOut[14] = acc15;
d1 = b1 * Xn16 + d2;
pOut[15] = acc16;
d2 = b2 * Xn16;
sample--;
d1 += a1 * acc16;
pOut += 16;
d2 += a2 * acc16;
}
sample = blockSize & 0xFu;
while (sample > 0U) {
Xn1 = *pIn;
acc1 = b0 * Xn1 + d1;
pIn++;
d1 = b1 * Xn1 + d2;
*pOut = acc1;
d2 = b2 * Xn1;
pOut++;
d1 += a1 * acc1;
sample--;
d2 += a2 * acc1;
}
/* Store the updated state variables back into the state array */
pState[0] = d1;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
pState[1] = d2;
/* decrement the loop counter */
stage--;
pState += 2U;
/*Reset the output working pointer */
pOut = pDst;
} while (stage > 0U);
#elif defined(ARM_MATH_CM0_FAMILY)
/* Run the below code for Cortex-M0 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/*Reading the state values */
d1 = pState[0];
d2 = pState[1];
sample = blockSize;
while (sample > 0U)
{
/* Read the input */
Xn1 = *pIn++;
/* y[n] = b0 * x[n] + d1 */
acc1 = (b0 * Xn1) + d1;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = acc1;
/* Every time after the output is computed state should be updated. */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
d1 = ((b1 * Xn1) + (a1 * acc1)) + d2;
/* d2 = b2 * x[n] + a2 * y[n] */
d2 = (b2 * Xn1) + (a2 * acc1);
/* decrement the loop counter */
sample--;
}
/* Store the updated state variables back into the state array */
*pState++ = d1;
*pState++ = d2;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
/*Reset the output working pointer */
pOut = pDst;
/* decrement the loop counter */
stage--;
} while (stage > 0U);
#else
float64_t Xn2, Xn3, Xn4; /* Input State variables */
float64_t acc2, acc3, acc4; /* accumulator */
float64_t p0, p1, p2, p3, p4, A1;
/* Run the below code for Cortex-M4 and Cortex-M3 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/*Reading the state values */
d1 = pState[0];
d2 = pState[1];
/* Apply loop unrolling and compute 4 output values simultaneously. */
sample = blockSize >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (sample > 0U) {
/* y[n] = b0 * x[n] + d1 */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
/* d2 = b2 * x[n] + a2 * y[n] */
/* Read the four inputs */
Xn1 = pIn[0];
Xn2 = pIn[1];
Xn3 = pIn[2];
Xn4 = pIn[3];
pIn += 4;
p0 = b0 * Xn1;
p1 = b1 * Xn1;
acc1 = p0 + d1;
p0 = b0 * Xn2;
p3 = a1 * acc1;
p2 = b2 * Xn1;
A1 = p1 + p3;
p4 = a2 * acc1;
d1 = A1 + d2;
d2 = p2 + p4;
p1 = b1 * Xn2;
acc2 = p0 + d1;
p0 = b0 * Xn3;
p3 = a1 * acc2;
p2 = b2 * Xn2;
A1 = p1 + p3;
p4 = a2 * acc2;
d1 = A1 + d2;
d2 = p2 + p4;
p1 = b1 * Xn3;
acc3 = p0 + d1;
p0 = b0 * Xn4;
p3 = a1 * acc3;
p2 = b2 * Xn3;
A1 = p1 + p3;
p4 = a2 * acc3;
d1 = A1 + d2;
d2 = p2 + p4;
acc4 = p0 + d1;
p1 = b1 * Xn4;
p3 = a1 * acc4;
p2 = b2 * Xn4;
A1 = p1 + p3;
p4 = a2 * acc4;
d1 = A1 + d2;
d2 = p2 + p4;
pOut[0] = acc1;
pOut[1] = acc2;
pOut[2] = acc3;
pOut[3] = acc4;
pOut += 4;
sample--;
}
sample = blockSize & 0x3U;
while (sample > 0U) {
Xn1 = *pIn++;
p0 = b0 * Xn1;
p1 = b1 * Xn1;
acc1 = p0 + d1;
p3 = a1 * acc1;
p2 = b2 * Xn1;
A1 = p1 + p3;
p4 = a2 * acc1;
d1 = A1 + d2;
d2 = p2 + p4;
*pOut++ = acc1;
sample--;
}
/* Store the updated state variables back into the state array */
*pState++ = d1;
*pState++ = d2;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
/*Reset the output working pointer */
pOut = pDst;
/* decrement the loop counter */
stage--;
} while (stage > 0U);
#endif
}
LOW_OPTIMIZATION_EXIT
/**
* @} end of BiquadCascadeDF2T group
*/

View File

@@ -1,89 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df2T_init_f32.c
* Description: Initialization function for floating-point transposed direct form II Biquad cascade filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF2T
* @{
*/
/**
* @brief Initialization function for the floating-point transposed direct form II Biquad cascade filter.
* @param[in,out] *S points to an instance of the filter data structure.
* @param[in] numStages number of 2nd order stages in the filter.
* @param[in] *pCoeffs points to the filter coefficients.
* @param[in] *pState points to the state buffer.
* @return none
*
* <b>Coefficient and State Ordering:</b>
* \par
* The coefficients are stored in the array <code>pCoeffs</code> in the following order:
* <pre>
* {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
* </pre>
*
* \par
* where <code>b1x</code> and <code>a1x</code> are the coefficients for the first stage,
* <code>b2x</code> and <code>a2x</code> are the coefficients for the second stage,
* and so on. The <code>pCoeffs</code> array contains a total of <code>5*numStages</code> values.
*
* \par
* The <code>pState</code> is a pointer to state array.
* Each Biquad stage has 2 state variables <code>d1,</code> and <code>d2</code>.
* The 2 state variables for stage 1 are first, then the 2 state variables for stage 2, and so on.
* The state array has a total length of <code>2*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*/
void arm_biquad_cascade_df2T_init_f32(
arm_biquad_cascade_df2T_instance_f32 * S,
uint8_t numStages,
float32_t * pCoeffs,
float32_t * pState)
{
/* Assign filter stages */
S->numStages = numStages;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always 2 * numStages */
memset(pState, 0, (2U * (uint32_t) numStages) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of BiquadCascadeDF2T group
*/

View File

@@ -1,89 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_df2T_init_f64.c
* Description: Initialization function for floating-point transposed direct form II Biquad cascade filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF2T
* @{
*/
/**
* @brief Initialization function for the floating-point transposed direct form II Biquad cascade filter.
* @param[in,out] *S points to an instance of the filter data structure.
* @param[in] numStages number of 2nd order stages in the filter.
* @param[in] *pCoeffs points to the filter coefficients.
* @param[in] *pState points to the state buffer.
* @return none
*
* <b>Coefficient and State Ordering:</b>
* \par
* The coefficients are stored in the array <code>pCoeffs</code> in the following order:
* <pre>
* {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
* </pre>
*
* \par
* where <code>b1x</code> and <code>a1x</code> are the coefficients for the first stage,
* <code>b2x</code> and <code>a2x</code> are the coefficients for the second stage,
* and so on. The <code>pCoeffs</code> array contains a total of <code>5*numStages</code> values.
*
* \par
* The <code>pState</code> is a pointer to state array.
* Each Biquad stage has 2 state variables <code>d1,</code> and <code>d2</code>.
* The 2 state variables for stage 1 are first, then the 2 state variables for stage 2, and so on.
* The state array has a total length of <code>2*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*/
void arm_biquad_cascade_df2T_init_f64(
arm_biquad_cascade_df2T_instance_f64 * S,
uint8_t numStages,
float64_t * pCoeffs,
float64_t * pState)
{
/* Assign filter stages */
S->numStages = numStages;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always 2 * numStages */
memset(pState, 0, (2U * (uint32_t) numStages) * sizeof(float64_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of BiquadCascadeDF2T group
*/

View File

@@ -1,670 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_stereo_df2T_f32.c
* Description: Processing function for floating-point transposed direct form II Biquad cascade filter. 2 channels
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup BiquadCascadeDF2T Biquad Cascade IIR Filters Using a Direct Form II Transposed Structure
*
* This set of functions implements arbitrary order recursive (IIR) filters using a transposed direct form II structure.
* The filters are implemented as a cascade of second order Biquad sections.
* These functions provide a slight memory savings as compared to the direct form I Biquad filter functions.
* Only floating-point data is supported.
*
* This function operate on blocks of input and output data and each call to the function
* processes <code>blockSize</code> samples through the filter.
* <code>pSrc</code> points to the array of input data and
* <code>pDst</code> points to the array of output data.
* Both arrays contain <code>blockSize</code> values.
*
* \par Algorithm
* Each Biquad stage implements a second order filter using the difference equation:
* <pre>
* y[n] = b0 * x[n] + d1
* d1 = b1 * x[n] + a1 * y[n] + d2
* d2 = b2 * x[n] + a2 * y[n]
* </pre>
* where d1 and d2 represent the two state values.
*
* \par
* A Biquad filter using a transposed Direct Form II structure is shown below.
* \image html BiquadDF2Transposed.gif "Single transposed Direct Form II Biquad"
* Coefficients <code>b0, b1, and b2 </code> multiply the input signal <code>x[n]</code> and are referred to as the feedforward coefficients.
* Coefficients <code>a1</code> and <code>a2</code> multiply the output signal <code>y[n]</code> and are referred to as the feedback coefficients.
* Pay careful attention to the sign of the feedback coefficients.
* Some design tools flip the sign of the feedback coefficients:
* <pre>
* y[n] = b0 * x[n] + d1;
* d1 = b1 * x[n] - a1 * y[n] + d2;
* d2 = b2 * x[n] - a2 * y[n];
* </pre>
* In this case the feedback coefficients <code>a1</code> and <code>a2</code> must be negated when used with the CMSIS DSP Library.
*
* \par
* Higher order filters are realized as a cascade of second order sections.
* <code>numStages</code> refers to the number of second order stages used.
* For example, an 8th order filter would be realized with <code>numStages=4</code> second order stages.
* A 9th order filter would be realized with <code>numStages=5</code> second order stages with the
* coefficients for one of the stages configured as a first order filter (<code>b2=0</code> and <code>a2=0</code>).
*
* \par
* <code>pState</code> points to the state variable array.
* Each Biquad stage has 2 state variables <code>d1</code> and <code>d2</code>.
* The state variables are arranged in the <code>pState</code> array as:
* <pre>
* {d11, d12, d21, d22, ...}
* </pre>
* where <code>d1x</code> refers to the state variables for the first Biquad and
* <code>d2x</code> refers to the state variables for the second Biquad.
* The state array has a total length of <code>2*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*
* \par
* The CMSIS library contains Biquad filters in both Direct Form I and transposed Direct Form II.
* The advantage of the Direct Form I structure is that it is numerically more robust for fixed-point data types.
* That is why the Direct Form I structure supports Q15 and Q31 data types.
* The transposed Direct Form II structure, on the other hand, requires a wide dynamic range for the state variables <code>d1</code> and <code>d2</code>.
* Because of this, the CMSIS library only has a floating-point version of the Direct Form II Biquad.
* The advantage of the Direct Form II Biquad is that it requires half the number of state variables, 2 rather than 4, per Biquad stage.
*
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared.
*
* \par Init Functions
* There is also an associated initialization function.
* The initialization function performs following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numStages, pCoeffs, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros before static initialization.
* For example, to statically initialize the instance structure use
* <pre>
* arm_biquad_cascade_df2T_instance_f32 S1 = {numStages, pState, pCoeffs};
* </pre>
* where <code>numStages</code> is the number of Biquad stages in the filter; <code>pState</code> is the address of the state buffer.
* <code>pCoeffs</code> is the address of the coefficient buffer;
*
*/
/**
* @addtogroup BiquadCascadeDF2T
* @{
*/
/**
* @brief Processing function for the floating-point transposed direct form II Biquad cascade filter.
* @param[in] *S points to an instance of the filter data structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of samples to process.
* @return none.
*/
LOW_OPTIMIZATION_ENTER
void arm_biquad_cascade_stereo_df2T_f32(
const arm_biquad_cascade_stereo_df2T_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pIn = pSrc; /* source pointer */
float32_t *pOut = pDst; /* destination pointer */
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* coefficient pointer */
float32_t acc1a, acc1b; /* accumulator */
float32_t b0, b1, b2, a1, a2; /* Filter coefficients */
float32_t Xn1a, Xn1b; /* temporary input */
float32_t d1a, d2a, d1b, d2b; /* state variables */
uint32_t sample, stage = S->numStages; /* loop counters */
#if defined(ARM_MATH_CM7)
float32_t Xn2a, Xn3a, Xn4a, Xn5a, Xn6a, Xn7a, Xn8a; /* Input State variables */
float32_t Xn2b, Xn3b, Xn4b, Xn5b, Xn6b, Xn7b, Xn8b; /* Input State variables */
float32_t acc2a, acc3a, acc4a, acc5a, acc6a, acc7a, acc8a; /* Simulates the accumulator */
float32_t acc2b, acc3b, acc4b, acc5b, acc6b, acc7b, acc8b; /* Simulates the accumulator */
do
{
/* Reading the coefficients */
b0 = pCoeffs[0];
b1 = pCoeffs[1];
b2 = pCoeffs[2];
a1 = pCoeffs[3];
/* Apply loop unrolling and compute 8 output values simultaneously. */
sample = blockSize >> 3U;
a2 = pCoeffs[4];
/*Reading the state values */
d1a = pState[0];
d2a = pState[1];
d1b = pState[2];
d2b = pState[3];
pCoeffs += 5U;
/* First part of the processing with loop unrolling. Compute 8 outputs at a time.
** a second loop below computes the remaining 1 to 7 samples. */
while (sample > 0U) {
/* y[n] = b0 * x[n] + d1 */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
/* d2 = b2 * x[n] + a2 * y[n] */
/* Read the first 2 inputs. 2 cycles */
Xn1a = pIn[0 ];
Xn1b = pIn[1 ];
/* Sample 1. 5 cycles */
Xn2a = pIn[2 ];
acc1a = b0 * Xn1a + d1a;
Xn2b = pIn[3 ];
d1a = b1 * Xn1a + d2a;
Xn3a = pIn[4 ];
d2a = b2 * Xn1a;
Xn3b = pIn[5 ];
d1a += a1 * acc1a;
Xn4a = pIn[6 ];
d2a += a2 * acc1a;
/* Sample 2. 5 cycles */
Xn4b = pIn[7 ];
acc1b = b0 * Xn1b + d1b;
Xn5a = pIn[8 ];
d1b = b1 * Xn1b + d2b;
Xn5b = pIn[9 ];
d2b = b2 * Xn1b;
Xn6a = pIn[10];
d1b += a1 * acc1b;
Xn6b = pIn[11];
d2b += a2 * acc1b;
/* Sample 3. 5 cycles */
Xn7a = pIn[12];
acc2a = b0 * Xn2a + d1a;
Xn7b = pIn[13];
d1a = b1 * Xn2a + d2a;
Xn8a = pIn[14];
d2a = b2 * Xn2a;
Xn8b = pIn[15];
d1a += a1 * acc2a;
pIn += 16;
d2a += a2 * acc2a;
/* Sample 4. 5 cycles */
acc2b = b0 * Xn2b + d1b;
d1b = b1 * Xn2b + d2b;
d2b = b2 * Xn2b;
d1b += a1 * acc2b;
d2b += a2 * acc2b;
/* Sample 5. 5 cycles */
acc3a = b0 * Xn3a + d1a;
d1a = b1 * Xn3a + d2a;
d2a = b2 * Xn3a;
d1a += a1 * acc3a;
d2a += a2 * acc3a;
/* Sample 6. 5 cycles */
acc3b = b0 * Xn3b + d1b;
d1b = b1 * Xn3b + d2b;
d2b = b2 * Xn3b;
d1b += a1 * acc3b;
d2b += a2 * acc3b;
/* Sample 7. 5 cycles */
acc4a = b0 * Xn4a + d1a;
d1a = b1 * Xn4a + d2a;
d2a = b2 * Xn4a;
d1a += a1 * acc4a;
d2a += a2 * acc4a;
/* Sample 8. 5 cycles */
acc4b = b0 * Xn4b + d1b;
d1b = b1 * Xn4b + d2b;
d2b = b2 * Xn4b;
d1b += a1 * acc4b;
d2b += a2 * acc4b;
/* Sample 9. 5 cycles */
acc5a = b0 * Xn5a + d1a;
d1a = b1 * Xn5a + d2a;
d2a = b2 * Xn5a;
d1a += a1 * acc5a;
d2a += a2 * acc5a;
/* Sample 10. 5 cycles */
acc5b = b0 * Xn5b + d1b;
d1b = b1 * Xn5b + d2b;
d2b = b2 * Xn5b;
d1b += a1 * acc5b;
d2b += a2 * acc5b;
/* Sample 11. 5 cycles */
acc6a = b0 * Xn6a + d1a;
d1a = b1 * Xn6a + d2a;
d2a = b2 * Xn6a;
d1a += a1 * acc6a;
d2a += a2 * acc6a;
/* Sample 12. 5 cycles */
acc6b = b0 * Xn6b + d1b;
d1b = b1 * Xn6b + d2b;
d2b = b2 * Xn6b;
d1b += a1 * acc6b;
d2b += a2 * acc6b;
/* Sample 13. 5 cycles */
acc7a = b0 * Xn7a + d1a;
d1a = b1 * Xn7a + d2a;
pOut[0 ] = acc1a ;
d2a = b2 * Xn7a;
pOut[1 ] = acc1b ;
d1a += a1 * acc7a;
pOut[2 ] = acc2a ;
d2a += a2 * acc7a;
/* Sample 14. 5 cycles */
pOut[3 ] = acc2b ;
acc7b = b0 * Xn7b + d1b;
pOut[4 ] = acc3a ;
d1b = b1 * Xn7b + d2b;
pOut[5 ] = acc3b ;
d2b = b2 * Xn7b;
pOut[6 ] = acc4a ;
d1b += a1 * acc7b;
pOut[7 ] = acc4b ;
d2b += a2 * acc7b;
/* Sample 15. 5 cycles */
pOut[8 ] = acc5a ;
acc8a = b0 * Xn8a + d1a;
pOut[9 ] = acc5b;
d1a = b1 * Xn8a + d2a;
pOut[10] = acc6a;
d2a = b2 * Xn8a;
pOut[11] = acc6b;
d1a += a1 * acc8a;
pOut[12] = acc7a;
d2a += a2 * acc8a;
/* Sample 16. 5 cycles */
pOut[13] = acc7b;
acc8b = b0 * Xn8b + d1b;
pOut[14] = acc8a;
d1b = b1 * Xn8b + d2b;
pOut[15] = acc8b;
d2b = b2 * Xn8b;
sample--;
d1b += a1 * acc8b;
pOut += 16;
d2b += a2 * acc8b;
}
sample = blockSize & 0x7U;
while (sample > 0U) {
/* Read the input */
Xn1a = *pIn++; //Channel a
Xn1b = *pIn++; //Channel b
/* y[n] = b0 * x[n] + d1 */
acc1a = (b0 * Xn1a) + d1a;
acc1b = (b0 * Xn1b) + d1b;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = acc1a;
*pOut++ = acc1b;
/* Every time after the output is computed state should be updated. */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
d1a = ((b1 * Xn1a) + (a1 * acc1a)) + d2a;
d1b = ((b1 * Xn1b) + (a1 * acc1b)) + d2b;
/* d2 = b2 * x[n] + a2 * y[n] */
d2a = (b2 * Xn1a) + (a2 * acc1a);
d2b = (b2 * Xn1b) + (a2 * acc1b);
sample--;
}
/* Store the updated state variables back into the state array */
pState[0] = d1a;
pState[1] = d2a;
pState[2] = d1b;
pState[3] = d2b;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
/* decrement the loop counter */
stage--;
pState += 4U;
/*Reset the output working pointer */
pOut = pDst;
} while (stage > 0U);
#elif defined(ARM_MATH_CM0_FAMILY)
/* Run the below code for Cortex-M0 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/*Reading the state values */
d1a = pState[0];
d2a = pState[1];
d1b = pState[2];
d2b = pState[3];
sample = blockSize;
while (sample > 0U)
{
/* Read the input */
Xn1a = *pIn++; //Channel a
Xn1b = *pIn++; //Channel b
/* y[n] = b0 * x[n] + d1 */
acc1a = (b0 * Xn1a) + d1a;
acc1b = (b0 * Xn1b) + d1b;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = acc1a;
*pOut++ = acc1b;
/* Every time after the output is computed state should be updated. */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
d1a = ((b1 * Xn1a) + (a1 * acc1a)) + d2a;
d1b = ((b1 * Xn1b) + (a1 * acc1b)) + d2b;
/* d2 = b2 * x[n] + a2 * y[n] */
d2a = (b2 * Xn1a) + (a2 * acc1a);
d2b = (b2 * Xn1b) + (a2 * acc1b);
/* decrement the loop counter */
sample--;
}
/* Store the updated state variables back into the state array */
*pState++ = d1a;
*pState++ = d2a;
*pState++ = d1b;
*pState++ = d2b;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
/*Reset the output working pointer */
pOut = pDst;
/* decrement the loop counter */
stage--;
} while (stage > 0U);
#else
float32_t Xn2a, Xn3a, Xn4a; /* Input State variables */
float32_t Xn2b, Xn3b, Xn4b; /* Input State variables */
float32_t acc2a, acc3a, acc4a; /* accumulator */
float32_t acc2b, acc3b, acc4b; /* accumulator */
float32_t p0a, p1a, p2a, p3a, p4a, A1a;
float32_t p0b, p1b, p2b, p3b, p4b, A1b;
/* Run the below code for Cortex-M4 and Cortex-M3 */
do
{
/* Reading the coefficients */
b0 = *pCoeffs++;
b1 = *pCoeffs++;
b2 = *pCoeffs++;
a1 = *pCoeffs++;
a2 = *pCoeffs++;
/*Reading the state values */
d1a = pState[0];
d2a = pState[1];
d1b = pState[2];
d2b = pState[3];
/* Apply loop unrolling and compute 4 output values simultaneously. */
sample = blockSize >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (sample > 0U) {
/* y[n] = b0 * x[n] + d1 */
/* d1 = b1 * x[n] + a1 * y[n] + d2 */
/* d2 = b2 * x[n] + a2 * y[n] */
/* Read the four inputs */
Xn1a = pIn[0];
Xn1b = pIn[1];
Xn2a = pIn[2];
Xn2b = pIn[3];
Xn3a = pIn[4];
Xn3b = pIn[5];
Xn4a = pIn[6];
Xn4b = pIn[7];
pIn += 8;
p0a = b0 * Xn1a;
p0b = b0 * Xn1b;
p1a = b1 * Xn1a;
p1b = b1 * Xn1b;
acc1a = p0a + d1a;
acc1b = p0b + d1b;
p0a = b0 * Xn2a;
p0b = b0 * Xn2b;
p3a = a1 * acc1a;
p3b = a1 * acc1b;
p2a = b2 * Xn1a;
p2b = b2 * Xn1b;
A1a = p1a + p3a;
A1b = p1b + p3b;
p4a = a2 * acc1a;
p4b = a2 * acc1b;
d1a = A1a + d2a;
d1b = A1b + d2b;
d2a = p2a + p4a;
d2b = p2b + p4b;
p1a = b1 * Xn2a;
p1b = b1 * Xn2b;
acc2a = p0a + d1a;
acc2b = p0b + d1b;
p0a = b0 * Xn3a;
p0b = b0 * Xn3b;
p3a = a1 * acc2a;
p3b = a1 * acc2b;
p2a = b2 * Xn2a;
p2b = b2 * Xn2b;
A1a = p1a + p3a;
A1b = p1b + p3b;
p4a = a2 * acc2a;
p4b = a2 * acc2b;
d1a = A1a + d2a;
d1b = A1b + d2b;
d2a = p2a + p4a;
d2b = p2b + p4b;
p1a = b1 * Xn3a;
p1b = b1 * Xn3b;
acc3a = p0a + d1a;
acc3b = p0b + d1b;
p0a = b0 * Xn4a;
p0b = b0 * Xn4b;
p3a = a1 * acc3a;
p3b = a1 * acc3b;
p2a = b2 * Xn3a;
p2b = b2 * Xn3b;
A1a = p1a + p3a;
A1b = p1b + p3b;
p4a = a2 * acc3a;
p4b = a2 * acc3b;
d1a = A1a + d2a;
d1b = A1b + d2b;
d2a = p2a + p4a;
d2b = p2b + p4b;
acc4a = p0a + d1a;
acc4b = p0b + d1b;
p1a = b1 * Xn4a;
p1b = b1 * Xn4b;
p3a = a1 * acc4a;
p3b = a1 * acc4b;
p2a = b2 * Xn4a;
p2b = b2 * Xn4b;
A1a = p1a + p3a;
A1b = p1b + p3b;
p4a = a2 * acc4a;
p4b = a2 * acc4b;
d1a = A1a + d2a;
d1b = A1b + d2b;
d2a = p2a + p4a;
d2b = p2b + p4b;
pOut[0] = acc1a;
pOut[1] = acc1b;
pOut[2] = acc2a;
pOut[3] = acc2b;
pOut[4] = acc3a;
pOut[5] = acc3b;
pOut[6] = acc4a;
pOut[7] = acc4b;
pOut += 8;
sample--;
}
sample = blockSize & 0x3U;
while (sample > 0U) {
Xn1a = *pIn++;
Xn1b = *pIn++;
p0a = b0 * Xn1a;
p0b = b0 * Xn1b;
p1a = b1 * Xn1a;
p1b = b1 * Xn1b;
acc1a = p0a + d1a;
acc1b = p0b + d1b;
p3a = a1 * acc1a;
p3b = a1 * acc1b;
p2a = b2 * Xn1a;
p2b = b2 * Xn1b;
A1a = p1a + p3a;
A1b = p1b + p3b;
p4a = a2 * acc1a;
p4b = a2 * acc1b;
d1a = A1a + d2a;
d1b = A1b + d2b;
d2a = p2a + p4a;
d2b = p2b + p4b;
*pOut++ = acc1a;
*pOut++ = acc1b;
sample--;
}
/* Store the updated state variables back into the state array */
*pState++ = d1a;
*pState++ = d2a;
*pState++ = d1b;
*pState++ = d2b;
/* The current stage input is given as the output to the next stage */
pIn = pDst;
/*Reset the output working pointer */
pOut = pDst;
/* decrement the loop counter */
stage--;
} while (stage > 0U);
#endif
}
LOW_OPTIMIZATION_EXIT
/**
* @} end of BiquadCascadeDF2T group
*/

View File

@@ -1,89 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_biquad_cascade_stereo_df2T_init_f32.c
* Description: Initialization function for floating-point transposed direct form II Biquad cascade filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup BiquadCascadeDF2T
* @{
*/
/**
* @brief Initialization function for the floating-point transposed direct form II Biquad cascade filter.
* @param[in,out] *S points to an instance of the filter data structure.
* @param[in] numStages number of 2nd order stages in the filter.
* @param[in] *pCoeffs points to the filter coefficients.
* @param[in] *pState points to the state buffer.
* @return none
*
* <b>Coefficient and State Ordering:</b>
* \par
* The coefficients are stored in the array <code>pCoeffs</code> in the following order:
* <pre>
* {b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
* </pre>
*
* \par
* where <code>b1x</code> and <code>a1x</code> are the coefficients for the first stage,
* <code>b2x</code> and <code>a2x</code> are the coefficients for the second stage,
* and so on. The <code>pCoeffs</code> array contains a total of <code>5*numStages</code> values.
*
* \par
* The <code>pState</code> is a pointer to state array.
* Each Biquad stage has 2 state variables <code>d1,</code> and <code>d2</code> for each channel.
* The 2 state variables for stage 1 are first, then the 2 state variables for stage 2, and so on.
* The state array has a total length of <code>2*numStages</code> values.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
*/
void arm_biquad_cascade_stereo_df2T_init_f32(
arm_biquad_cascade_stereo_df2T_instance_f32 * S,
uint8_t numStages,
float32_t * pCoeffs,
float32_t * pState)
{
/* Assign filter stages */
S->numStages = numStages;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always 4 * numStages */
memset(pState, 0, (4U * (uint32_t) numStages) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of BiquadCascadeDF2T group
*/

View File

@@ -1,635 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_f32.c
* Description: Convolution of floating-point sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup Conv Convolution
*
* Convolution is a mathematical operation that operates on two finite length vectors to generate a finite length output vector.
* Convolution is similar to correlation and is frequently used in filtering and data analysis.
* The CMSIS DSP library contains functions for convolving Q7, Q15, Q31, and floating-point data types.
* The library also provides fast versions of the Q15 and Q31 functions on Cortex-M4 and Cortex-M3.
*
* \par Algorithm
* Let <code>a[n]</code> and <code>b[n]</code> be sequences of length <code>srcALen</code> and <code>srcBLen</code> samples respectively.
* Then the convolution
*
* <pre>
* c[n] = a[n] * b[n]
* </pre>
*
* \par
* is defined as
* \image html ConvolutionEquation.gif
* \par
* Note that <code>c[n]</code> is of length <code>srcALen + srcBLen - 1</code> and is defined over the interval <code>n=0, 1, 2, ..., srcALen + srcBLen - 2</code>.
* <code>pSrcA</code> points to the first input vector of length <code>srcALen</code> and
* <code>pSrcB</code> points to the second input vector of length <code>srcBLen</code>.
* The output result is written to <code>pDst</code> and the calling function must allocate <code>srcALen+srcBLen-1</code> words for the result.
*
* \par
* Conceptually, when two signals <code>a[n]</code> and <code>b[n]</code> are convolved,
* the signal <code>b[n]</code> slides over <code>a[n]</code>.
* For each offset \c n, the overlapping portions of a[n] and b[n] are multiplied and summed together.
*
* \par
* Note that convolution is a commutative operation:
*
* <pre>
* a[n] * b[n] = b[n] * a[n].
* </pre>
*
* \par
* This means that switching the A and B arguments to the convolution functions has no effect.
*
* <b>Fixed-Point Behavior</b>
*
* \par
* Convolution requires summing up a large number of intermediate products.
* As such, the Q7, Q15, and Q31 functions run a risk of overflow and saturation.
* Refer to the function specific documentation below for further details of the particular algorithm used.
*
*
* <b>Fast Versions</b>
*
* \par
* Fast versions are supported for Q31 and Q15. Cycles for Fast versions are less compared to Q31 and Q15 of conv and the design requires
* the input signals should be scaled down to avoid intermediate overflows.
*
*
* <b>Opt Versions</b>
*
* \par
* Opt versions are supported for Q15 and Q7. Design uses internal scratch buffer for getting good optimisation.
* These versions are optimised in cycles and consumes more memory(Scratch memory) compared to Q15 and Q7 versions
*/
/**
* @addtogroup Conv
* @{
*/
/**
* @brief Convolution of floating-point sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1.
* @return none.
*/
void arm_conv_f32(
float32_t * pSrcA,
uint32_t srcALen,
float32_t * pSrcB,
uint32_t srcBLen,
float32_t * pDst)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
float32_t *pIn1; /* inputA pointer */
float32_t *pIn2; /* inputB pointer */
float32_t *pOut = pDst; /* output pointer */
float32_t *px; /* Intermediate inputA pointer */
float32_t *py; /* Intermediate inputB pointer */
float32_t *pSrc1, *pSrc2; /* Intermediate pointers */
float32_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
float32_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */
uint32_t j, k, count, blkCnt, blockSize1, blockSize2, blockSize3; /* loop counters */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* The algorithm is implemented in three stages.
The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
blockSize3 = blockSize1;
/* --------------------------
* initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 1] */
sum += *px++ * *py--;
/* x[1] * y[srcBLen - 2] */
sum += *px++ * *py--;
/* x[2] * y[srcBLen - 3] */
sum += *px++ * *py--;
/* x[3] * y[srcBLen - 4] */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum;
/* Update the inputA and inputB pointers for next MAC calculation */
py = pIn2 + count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0.0f;
acc1 = 0.0f;
acc2 = 0.0f;
acc3 = 0.0f;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[srcBLen - 1] sample */
c0 = *(py--);
/* Read x[3] sample */
x3 = *(px);
/* Perform the multiply-accumulate */
/* acc0 += x[0] * y[srcBLen - 1] */
acc0 += x0 * c0;
/* acc1 += x[1] * y[srcBLen - 1] */
acc1 += x1 * c0;
/* acc2 += x[2] * y[srcBLen - 1] */
acc2 += x2 * c0;
/* acc3 += x[3] * y[srcBLen - 1] */
acc3 += x3 * c0;
/* Read y[srcBLen - 2] sample */
c0 = *(py--);
/* Read x[4] sample */
x0 = *(px + 1U);
/* Perform the multiply-accumulate */
/* acc0 += x[1] * y[srcBLen - 2] */
acc0 += x1 * c0;
/* acc1 += x[2] * y[srcBLen - 2] */
acc1 += x2 * c0;
/* acc2 += x[3] * y[srcBLen - 2] */
acc2 += x3 * c0;
/* acc3 += x[4] * y[srcBLen - 2] */
acc3 += x0 * c0;
/* Read y[srcBLen - 3] sample */
c0 = *(py--);
/* Read x[5] sample */
x1 = *(px + 2U);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[srcBLen - 3] */
acc0 += x2 * c0;
/* acc1 += x[3] * y[srcBLen - 2] */
acc1 += x3 * c0;
/* acc2 += x[4] * y[srcBLen - 2] */
acc2 += x0 * c0;
/* acc3 += x[5] * y[srcBLen - 2] */
acc3 += x1 * c0;
/* Read y[srcBLen - 4] sample */
c0 = *(py--);
/* Read x[6] sample */
x2 = *(px + 3U);
px += 4U;
/* Perform the multiply-accumulates */
/* acc0 += x[3] * y[srcBLen - 4] */
acc0 += x3 * c0;
/* acc1 += x[4] * y[srcBLen - 4] */
acc1 += x0 * c0;
/* acc2 += x[5] * y[srcBLen - 4] */
acc2 += x1 * c0;
/* acc3 += x[6] * y[srcBLen - 4] */
acc3 += x2 * c0;
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[srcBLen - 5] sample */
c0 = *(py--);
/* Read x[7] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[srcBLen - 5] */
acc0 += x0 * c0;
/* acc1 += x[5] * y[srcBLen - 5] */
acc1 += x1 * c0;
/* acc2 += x[6] * y[srcBLen - 5] */
acc2 += x2 * c0;
/* acc3 += x[7] * y[srcBLen - 5] */
acc3 += x3 * c0;
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = acc0;
*pOut++ = acc1;
*pOut++ = acc2;
*pOut++ = acc3;
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += *px++ * *py--;
sum += *px++ * *py--;
sum += *px++ * *py--;
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The blockSize3 variable holds the number of MAC operations performed */
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = blockSize3 >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */
sum += *px++ * *py--;
/* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */
sum += *px++ * *py--;
/* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */
sum += *px++ * *py--;
/* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* If the blockSize3 is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = blockSize3 % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen-1] * y[srcBLen-1] */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the loop counter */
blockSize3--;
}
#else
/* Run the below code for Cortex-M0 */
float32_t *pIn1 = pSrcA; /* inputA pointer */
float32_t *pIn2 = pSrcB; /* inputB pointer */
float32_t sum; /* Accumulator */
uint32_t i, j; /* loop counters */
/* Loop to calculate convolution for output length number of times */
for (i = 0U; i < ((srcALen + srcBLen) - 1U); i++)
{
/* Initialize sum with zero to carry out MAC operations */
sum = 0.0f;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0U; j <= i; j++)
{
/* Check the array limitations */
if ((((i - j) < srcBLen) && (j < srcALen)))
{
/* z[i] += x[i-j] * y[j] */
sum += pIn1[j] * pIn2[i - j];
}
}
/* Store the output in the destination buffer */
pDst[i] = sum;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of Conv group
*/

View File

@@ -1,531 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_fast_opt_q15.c
* Description: Fast Q15 Convolution
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Conv
* @{
*/
/**
* @brief Convolution of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1.
* @param[in] *pScratch1 points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @param[in] *pScratch2 points to scratch buffer of size min(srcALen, srcBLen).
* @return none.
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit
*
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* This fast version uses a 32-bit accumulator with 2.30 format.
* The accumulator maintains full precision of the intermediate multiplication results
* but provides only a single guard bit. There is no saturation on intermediate additions.
* Thus, if the accumulator overflows it wraps around and distorts the result.
* The input signals should be scaled down to avoid intermediate overflows.
* Scale down the inputs by log2(min(srcALen, srcBLen)) (log2 is read as log to the base 2) times to avoid overflows,
* as maximum of min(srcALen, srcBLen) number of additions are carried internally.
* The 2.30 accumulator is right shifted by 15 bits and then saturated to 1.15 format to yield the final result.
*
* \par
* See <code>arm_conv_q15()</code> for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion.
*/
void arm_conv_fast_opt_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
q15_t * pScratch1,
q15_t * pScratch2)
{
q31_t acc0, acc1, acc2, acc3; /* Accumulators */
q31_t x1, x2, x3; /* Temporary variables to hold state and coefficient values */
q31_t y1, y2; /* State variables */
q15_t *pOut = pDst; /* output pointer */
q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */
q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
uint32_t j, k, blkCnt; /* loop counter */
uint32_t tapCnt; /* loop count */
#ifdef UNALIGNED_SUPPORT_DISABLE
q15_t a, b;
#endif /* #ifdef UNALIGNED_SUPPORT_DISABLE */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Pointer to take end of scratch2 buffer */
pScr2 = pScratch2 + srcBLen - 1;
/* points to smaller length sequence */
px = pIn2;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
/* Copy smaller length input sequence in reverse order into second scratch buffer */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Assuming scratch1 buffer is aligned by 32-bit */
/* Fill (srcBLen - 1U) zeros in scratch1 buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy bigger length sequence(srcALen) samples in scratch1 buffer */
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Copy (srcALen) samples in scratch buffer */
arm_copy_q15(pIn1, pScr1, srcALen);
/* Update pointers */
pScr1 += srcALen;
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcALen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = *pIn1++;
/* Decrement the loop counter */
k--;
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update pointer */
pScr1 += (srcBLen - 1U);
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = (srcBLen - 1U) % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Temporary pointer for scratch2 */
py = pScratch2;
/* Initialization of pIn2 pointer */
pIn2 = py;
/* First part of the processing with loop unrolling process 4 data points at a time.
** a second loop below process for the remaining 1 to 3 samples. */
/* Actual convolution process starts here */
blkCnt = (srcALen + srcBLen - 1U) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read next two samples from scratch1 buffer */
x2 = *__SIMD32(pScr1)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pIn2);
y2 = _SIMD32_OFFSET(pIn2 + 2U);
/* multiply and accumlate */
acc0 = __SMLAD(x1, y1, acc0);
acc2 = __SMLAD(x2, y1, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
/* multiply and accumlate */
acc1 = __SMLADX(x3, y1, acc1);
/* Read next two samples from scratch1 buffer */
x1 = _SIMD32_OFFSET(pScr1);
/* multiply and accumlate */
acc0 = __SMLAD(x2, y2, acc0);
acc2 = __SMLAD(x1, y2, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
acc1 = __SMLADX(x3, y2, acc1);
x2 = _SIMD32_OFFSET(pScr1 + 2U);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLADX(x3, y2, acc3);
#else
/* Read four samples from smaller buffer */
a = *pIn2;
b = *(pIn2 + 1);
#ifndef ARM_MATH_BIG_ENDIAN
y1 = __PKHBT(a, b, 16);
#else
y1 = __PKHBT(b, a, 16);
#endif
a = *(pIn2 + 2);
b = *(pIn2 + 3);
#ifndef ARM_MATH_BIG_ENDIAN
y2 = __PKHBT(a, b, 16);
#else
y2 = __PKHBT(b, a, 16);
#endif
acc0 = __SMLAD(x1, y1, acc0);
acc2 = __SMLAD(x2, y1, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc1 = __SMLADX(x3, y1, acc1);
a = *pScr1;
b = *(pScr1 + 1);
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(a, b, 16);
#else
x1 = __PKHBT(b, a, 16);
#endif
acc0 = __SMLAD(x2, y2, acc0);
acc2 = __SMLAD(x1, y2, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
acc1 = __SMLADX(x3, y2, acc1);
a = *(pScr1 + 2);
b = *(pScr1 + 3);
#ifndef ARM_MATH_BIG_ENDIAN
x2 = __PKHBT(a, b, 16);
#else
x2 = __PKHBT(b, a, 16);
#endif
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLADX(x3, y2, acc3);
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* update scratch pointers */
pIn2 += 4U;
pScr1 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2);
acc1 += (*pScr1++ * *pIn2);
acc2 += (*pScr1++ * *pIn2);
acc3 += (*pScr1++ * *pIn2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the results in the accumulators in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 4U;
}
blkCnt = (srcALen + srcBLen - 1U) & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
acc0 += (*pScr1++ * *pIn2++);
acc0 += (*pScr1++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* The result is in 2.30 format. Convert to 1.15 with saturation.
** Then store the output in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 1U;
}
}
/**
* @} end of Conv group
*/

View File

@@ -1,565 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_fast_q31.c
* Description: Fast Q31 Convolution
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Conv
* @{
*/
/**
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* This function is optimized for speed at the expense of fixed-point precision and overflow protection.
* The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format.
* These intermediate results are accumulated in a 32-bit register in 2.30 format.
* Finally, the accumulator is saturated and converted to a 1.31 result.
*
* \par
* The fast version has the same overflow behavior as the standard version but provides less precision since it discards the low 32 bits of each multiplication result.
* In order to avoid overflows completely the input signals must be scaled down.
* Scale down the inputs by log2(min(srcALen, srcBLen)) (log2 is read as log to the base 2) times to avoid overflows,
* as maximum of min(srcALen, srcBLen) number of additions are carried internally.
*
* \par
* See <code>arm_conv_q31()</code> for a slower implementation of this function which uses 64-bit accumulation to provide higher precision.
*/
void arm_conv_fast_q31(
q31_t * pSrcA,
uint32_t srcALen,
q31_t * pSrcB,
uint32_t srcBLen,
q31_t * pDst)
{
q31_t *pIn1; /* inputA pointer */
q31_t *pIn2; /* inputB pointer */
q31_t *pOut = pDst; /* output pointer */
q31_t *px; /* Intermediate inputA pointer */
q31_t *py; /* Intermediate inputB pointer */
q31_t *pSrc1, *pSrc2; /* Intermediate pointers */
q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */
uint32_t j, k, count, blkCnt, blockSize1, blockSize2, blockSize3; /* loop counter */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* The algorithm is implemented in three stages.
The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
blockSize3 = blockSize1;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 1] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* x[1] * y[srcBLen - 2] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* x[2] * y[srcBLen - 3] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* x[3] * y[srcBLen - 4] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum << 1;
/* Update the inputA and inputB pointers for next MAC calculation */
py = pIn2 + count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[srcBLen - 1] sample */
c0 = *(py--);
/* Read x[3] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[0] * y[srcBLen - 1] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc1 += x[1] * y[srcBLen - 1] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc2 += x[2] * y[srcBLen - 1] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc3 += x[3] * y[srcBLen - 1] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32);
/* Read y[srcBLen - 2] sample */
c0 = *(py--);
/* Read x[4] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
/* acc0 += x[1] * y[srcBLen - 2] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc1 += x[2] * y[srcBLen - 2] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc2 += x[3] * y[srcBLen - 2] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc3 += x[4] * y[srcBLen - 2] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x0 * c0)) >> 32);
/* Read y[srcBLen - 3] sample */
c0 = *(py--);
/* Read x[5] sample */
x1 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[srcBLen - 3] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc1 += x[3] * y[srcBLen - 3] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc2 += x[4] * y[srcBLen - 3] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc3 += x[5] * y[srcBLen - 3] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x1 * c0)) >> 32);
/* Read y[srcBLen - 4] sample */
c0 = *(py--);
/* Read x[6] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[3] * y[srcBLen - 4] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc1 += x[4] * y[srcBLen - 4] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc2 += x[5] * y[srcBLen - 4] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc3 += x[6] * y[srcBLen - 4] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x2 * c0)) >> 32);
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[srcBLen - 5] sample */
c0 = *(py--);
/* Read x[7] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[srcBLen - 5] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc1 += x[5] * y[srcBLen - 5] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc2 += x[6] * y[srcBLen - 5] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc3 += x[7] * y[srcBLen - 5] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32);
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the results in the accumulators in the destination buffer. */
*pOut++ = (q31_t) (acc0 << 1);
*pOut++ = (q31_t) (acc1 << 1);
*pOut++ = (q31_t) (acc2 << 1);
*pOut++ = (q31_t) (acc3 << 1);
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum << 1;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum << 1;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The blockSize3 variable holds the number of MAC operations performed */
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = blockSize3 >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the blockSize3 is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = blockSize3 % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum << 1;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the loop counter */
blockSize3--;
}
}
/**
* @} end of Conv group
*/

View File

@@ -1,533 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_opt_q15.c
* Description: Convolution of Q15 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Conv
* @{
*/
/**
* @brief Convolution of Q15 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1.
* @param[in] *pScratch1 points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @param[in] *pScratch2 points to scratch buffer of size min(srcALen, srcBLen).
* @return none.
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit
*
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both inputs are in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* This approach provides 33 guard bits and there is no risk of overflow.
* The 34.30 result is then truncated to 34.15 format by discarding the low 15 bits and then saturated to 1.15 format.
*
*
* \par
* Refer to <code>arm_conv_fast_q15()</code> for a faster but less precise version of this function for Cortex-M3 and Cortex-M4.
*
*
*/
void arm_conv_opt_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
q15_t * pScratch1,
q15_t * pScratch2)
{
q63_t acc0, acc1, acc2, acc3; /* Accumulator */
q31_t x1, x2, x3; /* Temporary variables to hold state and coefficient values */
q31_t y1, y2; /* State variables */
q15_t *pOut = pDst; /* output pointer */
q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */
q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
uint32_t j, k, blkCnt; /* loop counter */
uint32_t tapCnt; /* loop count */
#ifdef UNALIGNED_SUPPORT_DISABLE
q15_t a, b;
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* pointer to take end of scratch2 buffer */
pScr2 = pScratch2 + srcBLen - 1;
/* points to smaller length sequence */
px = pIn2;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
/* Copy smaller length input sequence in reverse order into second scratch buffer */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Assuming scratch1 buffer is aligned by 32-bit */
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy bigger length sequence(srcALen) samples in scratch1 buffer */
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Copy (srcALen) samples in scratch buffer */
arm_copy_q15(pIn1, pScr1, srcALen);
/* Update pointers */
pScr1 += srcALen;
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcALen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = *pIn1++;
/* Decrement the loop counter */
k--;
}
#endif
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update pointer */
pScr1 += (srcBLen - 1U);
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = (srcBLen - 1U) % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
#endif
/* Temporary pointer for scratch2 */
py = pScratch2;
/* Initialization of pIn2 pointer */
pIn2 = py;
/* First part of the processing with loop unrolling process 4 data points at a time.
** a second loop below process for the remaining 1 to 3 samples. */
/* Actual convolution process starts here */
blkCnt = (srcALen + srcBLen - 1U) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read next two samples from scratch1 buffer */
x2 = *__SIMD32(pScr1)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pIn2);
y2 = _SIMD32_OFFSET(pIn2 + 2U);
/* multiply and accumlate */
acc0 = __SMLALD(x1, y1, acc0);
acc2 = __SMLALD(x2, y1, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
/* multiply and accumlate */
acc1 = __SMLALDX(x3, y1, acc1);
/* Read next two samples from scratch1 buffer */
x1 = _SIMD32_OFFSET(pScr1);
/* multiply and accumlate */
acc0 = __SMLALD(x2, y2, acc0);
acc2 = __SMLALD(x1, y2, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLALDX(x3, y1, acc3);
acc1 = __SMLALDX(x3, y2, acc1);
x2 = _SIMD32_OFFSET(pScr1 + 2U);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLALDX(x3, y2, acc3);
#else
/* Read four samples from smaller buffer */
a = *pIn2;
b = *(pIn2 + 1);
#ifndef ARM_MATH_BIG_ENDIAN
y1 = __PKHBT(a, b, 16);
#else
y1 = __PKHBT(b, a, 16);
#endif
a = *(pIn2 + 2);
b = *(pIn2 + 3);
#ifndef ARM_MATH_BIG_ENDIAN
y2 = __PKHBT(a, b, 16);
#else
y2 = __PKHBT(b, a, 16);
#endif
acc0 = __SMLALD(x1, y1, acc0);
acc2 = __SMLALD(x2, y1, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc1 = __SMLALDX(x3, y1, acc1);
a = *pScr1;
b = *(pScr1 + 1);
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(a, b, 16);
#else
x1 = __PKHBT(b, a, 16);
#endif
acc0 = __SMLALD(x2, y2, acc0);
acc2 = __SMLALD(x1, y2, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLALDX(x3, y1, acc3);
acc1 = __SMLALDX(x3, y2, acc1);
a = *(pScr1 + 2);
b = *(pScr1 + 3);
#ifndef ARM_MATH_BIG_ENDIAN
x2 = __PKHBT(a, b, 16);
#else
x2 = __PKHBT(b, a, 16);
#endif
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLALDX(x3, y2, acc3);
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
pIn2 += 4U;
pScr1 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2);
acc1 += (*pScr1++ * *pIn2);
acc2 += (*pScr1++ * *pIn2);
acc3 += (*pScr1++ * *pIn2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the results in the accumulators in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 4U;
}
blkCnt = (srcALen + srcBLen - 1U) & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
/* Read next two samples from scratch1 buffer */
acc0 += (*pScr1++ * *pIn2++);
acc0 += (*pScr1++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* The result is in 2.30 format. Convert to 1.15 with saturation.
** Then store the output in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 1U;
}
}
/**
* @} end of Conv group
*/

View File

@@ -1,423 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_opt_q7.c
* Description: Convolution of Q7 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Conv
* @{
*/
/**
* @brief Convolution of Q7 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1.
* @param[in] *pScratch1 points to scratch buffer(of type q15_t) of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @param[in] *pScratch2 points to scratch buffer (of type q15_t) of size min(srcALen, srcBLen).
* @return none.
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using a 32-bit internal accumulator.
* Both the inputs are represented in 1.7 format and multiplications yield a 2.14 result.
* The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format.
* This approach provides 17 guard bits and there is no risk of overflow as long as <code>max(srcALen, srcBLen)<131072</code>.
* The 18.14 result is then truncated to 18.7 format by discarding the low 7 bits and then saturated to 1.7 format.
*
*/
void arm_conv_opt_q7(
q7_t * pSrcA,
uint32_t srcALen,
q7_t * pSrcB,
uint32_t srcBLen,
q7_t * pDst,
q15_t * pScratch1,
q15_t * pScratch2)
{
q15_t *pScr2, *pScr1; /* Intermediate pointers for scratch pointers */
q15_t x4; /* Temporary input variable */
q7_t *pIn1, *pIn2; /* inputA and inputB pointer */
uint32_t j, k, blkCnt, tapCnt; /* loop counter */
q7_t *px; /* Temporary input1 pointer */
q15_t *py; /* Temporary input2 pointer */
q31_t acc0, acc1, acc2, acc3; /* Accumulator */
q31_t x1, x2, x3, y1; /* Temporary input variables */
q7_t *pOut = pDst; /* output pointer */
q7_t out0, out1, out2, out3; /* temporary variables */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* pointer to take end of scratch2 buffer */
pScr2 = pScratch2;
/* points to smaller length sequence */
px = pIn2 + srcBLen - 1;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
x4 = (q15_t) * px--;
*pScr2++ = x4;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy (srcALen) samples in scratch buffer */
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcALen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
/* Decrement the loop counter */
k--;
}
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update pointer */
pScr1 += (srcBLen - 1U);
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = (srcBLen - 1U) % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
#endif
/* Temporary pointer for scratch2 */
py = pScratch2;
/* Initialization of pIn2 pointer */
pIn2 = (q7_t *) py;
pScr2 = py;
/* Actual convolution process starts here */
blkCnt = (srcALen + srcBLen - 1U) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read next two samples from scratch1 buffer */
x2 = *__SIMD32(pScr1)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pScr2);
/* multiply and accumlate */
acc0 = __SMLAD(x1, y1, acc0);
acc2 = __SMLAD(x2, y1, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
/* multiply and accumlate */
acc1 = __SMLADX(x3, y1, acc1);
/* Read next two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pScr2 + 2U);
acc0 = __SMLAD(x2, y1, acc0);
acc2 = __SMLAD(x1, y1, acc2);
acc1 = __SMLADX(x3, y1, acc1);
x2 = *__SIMD32(pScr1)++;
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
pScr2 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pScr2);
acc1 += (*pScr1++ * *pScr2);
acc2 += (*pScr1++ * *pScr2);
acc3 += (*pScr1++ * *pScr2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
out0 = (q7_t) (__SSAT(acc0 >> 7U, 8));
out1 = (q7_t) (__SSAT(acc1 >> 7U, 8));
out2 = (q7_t) (__SSAT(acc2 >> 7U, 8));
out3 = (q7_t) (__SSAT(acc3 >> 7U, 8));
*__SIMD32(pOut)++ = __PACKq7(out0, out1, out2, out3);
/* Initialization of inputB pointer */
pScr2 = py;
pScratch1 += 4U;
}
blkCnt = (srcALen + srcBLen - 1U) & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
acc0 += (*pScr1++ * *pScr2++);
acc0 += (*pScr1++ * *pScr2++);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pScr2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8));
/* Initialization of inputB pointer */
pScr2 = py;
pScratch1 += 1U;
}
}
/**
* @} end of Conv group
*/

View File

@@ -1,678 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_partial_f32.c
* Description: Partial convolution of floating-point sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup PartialConv Partial Convolution
*
* Partial Convolution is equivalent to Convolution except that a subset of the output samples is generated.
* Each function has two additional arguments.
* <code>firstIndex</code> specifies the starting index of the subset of output samples.
* <code>numPoints</code> is the number of output samples to compute.
* The function computes the output in the range
* <code>[firstIndex, ..., firstIndex+numPoints-1]</code>.
* The output array <code>pDst</code> contains <code>numPoints</code> values.
*
* The allowable range of output indices is [0 srcALen+srcBLen-2].
* If the requested subset does not fall in this range then the functions return ARM_MATH_ARGUMENT_ERROR.
* Otherwise the functions return ARM_MATH_SUCCESS.
* \note Refer arm_conv_f32() for details on fixed point behavior.
*
*
* <b>Fast Versions</b>
*
* \par
* Fast versions are supported for Q31 and Q15 of partial convolution. Cycles for Fast versions are less compared to Q31 and Q15 of partial conv and the design requires
* the input signals should be scaled down to avoid intermediate overflows.
*
*
* <b>Opt Versions</b>
*
* \par
* Opt versions are supported for Q15 and Q7. Design uses internal scratch buffer for getting good optimisation.
* These versions are optimised in cycles and consumes more memory(Scratch memory) compared to Q15 and Q7 versions of partial convolution
*/
/**
* @addtogroup PartialConv
* @{
*/
/**
* @brief Partial convolution of floating-point sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] firstIndex is the first output sample to start with.
* @param[in] numPoints is the number of output points to be computed.
* @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
*/
arm_status arm_conv_partial_f32(
float32_t * pSrcA,
uint32_t srcALen,
float32_t * pSrcB,
uint32_t srcBLen,
float32_t * pDst,
uint32_t firstIndex,
uint32_t numPoints)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
float32_t *pIn1 = pSrcA; /* inputA pointer */
float32_t *pIn2 = pSrcB; /* inputB pointer */
float32_t *pOut = pDst; /* output pointer */
float32_t *px; /* Intermediate inputA pointer */
float32_t *py; /* Intermediate inputB pointer */
float32_t *pSrc1, *pSrc2; /* Intermediate pointers */
float32_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
float32_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */
uint32_t j, k, count = 0U, blkCnt, check;
int32_t blockSize1, blockSize2, blockSize3; /* loop counters */
arm_status status; /* status of Partial convolution */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Conditions to check which loopCounter holds
* the first and last indices of the output samples to be calculated. */
check = firstIndex + numPoints;
blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0;
blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3;
blockSize1 = ((int32_t) srcBLen - 1) - (int32_t) firstIndex;
blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 :
(int32_t) numPoints) : 0;
blockSize2 = ((int32_t) check - blockSize3) -
(blockSize1 + (int32_t) firstIndex);
blockSize2 = (blockSize2 > 0) ? blockSize2 : 0;
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* Set the output pointer to point to the firstIndex
* of the output sample to be calculated. */
pOut = pDst + firstIndex;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed.
Since the partial convolution starts from from firstIndex
Number of Macs to be performed is firstIndex + 1 */
count = 1U + firstIndex;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc1 = pIn2 + firstIndex;
py = pSrc1;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 1] */
sum += *px++ * *py--;
/* x[1] * y[srcBLen - 2] */
sum += *px++ * *py--;
/* x[2] * y[srcBLen - 3] */
sum += *px++ * *py--;
/* x[3] * y[srcBLen - 4] */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum;
/* Update the inputA and inputB pointers for next MAC calculation */
py = ++pSrc1;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1;
}
else
{
px = pIn1;
}
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = ((uint32_t) blockSize2 >> 2U);
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0.0f;
acc1 = 0.0f;
acc2 = 0.0f;
acc3 = 0.0f;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[srcBLen - 1] sample */
c0 = *(py--);
/* Read x[3] sample */
x3 = *(px++);
/* Perform the multiply-accumulate */
/* acc0 += x[0] * y[srcBLen - 1] */
acc0 += x0 * c0;
/* acc1 += x[1] * y[srcBLen - 1] */
acc1 += x1 * c0;
/* acc2 += x[2] * y[srcBLen - 1] */
acc2 += x2 * c0;
/* acc3 += x[3] * y[srcBLen - 1] */
acc3 += x3 * c0;
/* Read y[srcBLen - 2] sample */
c0 = *(py--);
/* Read x[4] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
/* acc0 += x[1] * y[srcBLen - 2] */
acc0 += x1 * c0;
/* acc1 += x[2] * y[srcBLen - 2] */
acc1 += x2 * c0;
/* acc2 += x[3] * y[srcBLen - 2] */
acc2 += x3 * c0;
/* acc3 += x[4] * y[srcBLen - 2] */
acc3 += x0 * c0;
/* Read y[srcBLen - 3] sample */
c0 = *(py--);
/* Read x[5] sample */
x1 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[srcBLen - 3] */
acc0 += x2 * c0;
/* acc1 += x[3] * y[srcBLen - 2] */
acc1 += x3 * c0;
/* acc2 += x[4] * y[srcBLen - 2] */
acc2 += x0 * c0;
/* acc3 += x[5] * y[srcBLen - 2] */
acc3 += x1 * c0;
/* Read y[srcBLen - 4] sample */
c0 = *(py--);
/* Read x[6] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[3] * y[srcBLen - 4] */
acc0 += x3 * c0;
/* acc1 += x[4] * y[srcBLen - 4] */
acc1 += x0 * c0;
/* acc2 += x[5] * y[srcBLen - 4] */
acc2 += x1 * c0;
/* acc3 += x[6] * y[srcBLen - 4] */
acc3 += x2 * c0;
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[srcBLen - 5] sample */
c0 = *(py--);
/* Read x[7] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[srcBLen - 5] */
acc0 += x0 * c0;
/* acc1 += x[5] * y[srcBLen - 5] */
acc1 += x1 * c0;
/* acc2 += x[6] * y[srcBLen - 5] */
acc2 += x2 * c0;
/* acc3 += x[7] * y[srcBLen - 5] */
acc3 += x3 * c0;
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = acc0;
*pOut++ = acc1;
*pOut++ = acc2;
*pOut++ = acc3;
/* Increment the pointer pIn1 index, count by 1 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = (uint32_t) blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += *px++ * *py--;
sum += *px++ * *py--;
sum += *px++ * *py--;
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = (uint32_t) blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
while (blockSize3 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */
sum += *px++ * *py--;
/* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */
sum += *px++ * *py--;
/* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */
sum += *px++ * *py--;
/* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen-1] * y[srcBLen-1] */
sum += *px++ * *py--;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
#else
/* Run the below code for Cortex-M0 */
float32_t *pIn1 = pSrcA; /* inputA pointer */
float32_t *pIn2 = pSrcB; /* inputB pointer */
float32_t sum; /* Accumulator */
uint32_t i, j; /* loop counters */
arm_status status; /* status of Partial convolution */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* Loop to calculate convolution for output length number of values */
for (i = firstIndex; i <= (firstIndex + numPoints - 1); i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0.0f;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0U; j <= i; j++)
{
/* Check the array limitations for inputs */
if ((((i - j) < srcBLen) && (j < srcALen)))
{
/* z[i] += x[i-j] * y[j] */
sum += pIn1[j] * pIn2[i - j];
}
}
/* Store the output in the destination buffer */
pDst[i] = sum;
}
/* set status as ARM_SUCCESS as there are no argument errors */
status = ARM_MATH_SUCCESS;
}
return (status);
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of PartialConv group
*/

View File

@@ -1,756 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_partial_fast_opt_q15.c
* Description: Fast Q15 Partial convolution
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup PartialConv
* @{
*/
/**
* @brief Partial convolution of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] firstIndex is the first output sample to start with.
* @param[in] numPoints is the number of output points to be computed.
* @param[in] *pScratch1 points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @param[in] *pScratch2 points to scratch buffer of size min(srcALen, srcBLen).
* @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
*
* See <code>arm_conv_partial_q15()</code> for a slower implementation of this function which uses a 64-bit accumulator to avoid wrap around distortion.
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit
*
*/
#ifndef UNALIGNED_SUPPORT_DISABLE
arm_status arm_conv_partial_fast_opt_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
uint32_t firstIndex,
uint32_t numPoints,
q15_t * pScratch1,
q15_t * pScratch2)
{
q15_t *pOut = pDst; /* output pointer */
q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */
q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */
q31_t acc0, acc1, acc2, acc3; /* Accumulator */
q31_t x1, x2, x3; /* Temporary variables to hold state and coefficient values */
q31_t y1, y2; /* State variables */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
uint32_t j, k, blkCnt; /* loop counter */
arm_status status;
uint32_t tapCnt; /* loop count */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Temporary pointer for scratch2 */
py = pScratch2;
/* pointer to take end of scratch2 buffer */
pScr2 = pScratch2 + srcBLen - 1;
/* points to smaller length sequence */
px = pIn2;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
/* Copy smaller length input sequence in reverse order into second scratch buffer */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Assuming scratch1 buffer is aligned by 32-bit */
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy bigger length sequence(srcALen) samples in scratch1 buffer */
/* Copy (srcALen) samples in scratch buffer */
arm_copy_q15(pIn1, pScr1, srcALen);
/* Update pointers */
pScr1 += srcALen;
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update pointer */
pScr1 += (srcBLen - 1U);
/* Initialization of pIn2 pointer */
pIn2 = py;
pScratch1 += firstIndex;
pOut = pDst + firstIndex;
/* First part of the processing with loop unrolling process 4 data points at a time.
** a second loop below process for the remaining 1 to 3 samples. */
/* Actual convolution process starts here */
blkCnt = (numPoints) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read next two samples from scratch1 buffer */
x2 = *__SIMD32(pScr1)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pIn2);
y2 = _SIMD32_OFFSET(pIn2 + 2U);
/* multiply and accumlate */
acc0 = __SMLAD(x1, y1, acc0);
acc2 = __SMLAD(x2, y1, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
/* multiply and accumlate */
acc1 = __SMLADX(x3, y1, acc1);
/* Read next two samples from scratch1 buffer */
x1 = _SIMD32_OFFSET(pScr1);
/* multiply and accumlate */
acc0 = __SMLAD(x2, y2, acc0);
acc2 = __SMLAD(x1, y2, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
acc1 = __SMLADX(x3, y2, acc1);
x2 = _SIMD32_OFFSET(pScr1 + 2U);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLADX(x3, y2, acc3);
/* update scratch pointers */
pIn2 += 4U;
pScr1 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2);
acc1 += (*pScr1++ * *pIn2);
acc2 += (*pScr1++ * *pIn2);
acc3 += (*pScr1++ * *pIn2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the results in the accumulators in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 4U;
}
blkCnt = numPoints & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
/* Read next two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read two samples from smaller buffer */
y1 = *__SIMD32(pIn2)++;
acc0 = __SMLAD(x1, y1, acc0);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* The result is in 2.30 format. Convert to 1.15 with saturation.
** Then store the output in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 1U;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
}
#else
arm_status arm_conv_partial_fast_opt_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
uint32_t firstIndex,
uint32_t numPoints,
q15_t * pScratch1,
q15_t * pScratch2)
{
q15_t *pOut = pDst; /* output pointer */
q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */
q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */
q31_t acc0, acc1, acc2, acc3; /* Accumulator */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
uint32_t j, k, blkCnt; /* loop counter */
arm_status status; /* Status variable */
uint32_t tapCnt; /* loop count */
q15_t x10, x11, x20, x21; /* Temporary variables to hold srcA buffer */
q15_t y10, y11; /* Temporary variables to hold srcB buffer */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Temporary pointer for scratch2 */
py = pScratch2;
/* pointer to take end of scratch2 buffer */
pScr2 = pScratch2 + srcBLen - 1;
/* points to smaller length sequence */
px = pIn2;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy bigger length sequence(srcALen) samples in scratch1 buffer */
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcALen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = *pIn1++;
/* Decrement the loop counter */
k--;
}
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = (srcBLen - 1U) % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* Initialization of pIn2 pointer */
pIn2 = py;
pScratch1 += firstIndex;
pOut = pDst + firstIndex;
/* Actual convolution process starts here */
blkCnt = (numPoints) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x10 = *pScr1++;
x11 = *pScr1++;
/* Read next two samples from scratch1 buffer */
x20 = *pScr1++;
x21 = *pScr1++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
/* Read two samples from smaller buffer */
y10 = *pIn2;
y11 = *(pIn2 + 1U);
/* multiply and accumlate */
acc0 += (q31_t) x10 *y10;
acc0 += (q31_t) x11 *y11;
acc2 += (q31_t) x20 *y10;
acc2 += (q31_t) x21 *y11;
/* multiply and accumlate */
acc1 += (q31_t) x11 *y10;
acc1 += (q31_t) x20 *y11;
/* Read next two samples from scratch1 buffer */
x10 = *pScr1;
x11 = *(pScr1 + 1U);
/* multiply and accumlate */
acc3 += (q31_t) x21 *y10;
acc3 += (q31_t) x10 *y11;
/* Read next two samples from scratch2 buffer */
y10 = *(pIn2 + 2U);
y11 = *(pIn2 + 3U);
/* multiply and accumlate */
acc0 += (q31_t) x20 *y10;
acc0 += (q31_t) x21 *y11;
acc2 += (q31_t) x10 *y10;
acc2 += (q31_t) x11 *y11;
acc1 += (q31_t) x21 *y10;
acc1 += (q31_t) x10 *y11;
/* Read next two samples from scratch1 buffer */
x20 = *(pScr1 + 2);
x21 = *(pScr1 + 3);
/* multiply and accumlate */
acc3 += (q31_t) x11 *y10;
acc3 += (q31_t) x20 *y11;
/* update scratch pointers */
pIn2 += 4U;
pScr1 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2);
acc1 += (*pScr1++ * *pIn2);
acc2 += (*pScr1++ * *pIn2);
acc3 += (*pScr1++ * *pIn2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the results in the accumulators in the destination buffer. */
*pOut++ = __SSAT((acc0 >> 15), 16);
*pOut++ = __SSAT((acc1 >> 15), 16);
*pOut++ = __SSAT((acc2 >> 15), 16);
*pOut++ = __SSAT((acc3 >> 15), 16);
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 4U;
}
blkCnt = numPoints & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
/* Read next two samples from scratch1 buffer */
x10 = *pScr1++;
x11 = *pScr1++;
/* Read two samples from smaller buffer */
y10 = *pIn2++;
y11 = *pIn2++;
/* multiply and accumlate */
acc0 += (q31_t) x10 *y10;
acc0 += (q31_t) x11 *y11;
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 1U;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/**
* @} end of PartialConv group
*/

View File

@@ -1,620 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_partial_fast_q31.c
* Description: Fast Q31 Partial convolution
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup PartialConv
* @{
*/
/**
* @brief Partial convolution of Q31 sequences (fast version) for Cortex-M3 and Cortex-M4.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] firstIndex is the first output sample to start with.
* @param[in] numPoints is the number of output points to be computed.
* @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
*
* \par
* See <code>arm_conv_partial_q31()</code> for a slower implementation of this function which uses a 64-bit accumulator to provide higher precision.
*/
arm_status arm_conv_partial_fast_q31(
q31_t * pSrcA,
uint32_t srcALen,
q31_t * pSrcB,
uint32_t srcBLen,
q31_t * pDst,
uint32_t firstIndex,
uint32_t numPoints)
{
q31_t *pIn1; /* inputA pointer */
q31_t *pIn2; /* inputB pointer */
q31_t *pOut = pDst; /* output pointer */
q31_t *px; /* Intermediate inputA pointer */
q31_t *py; /* Intermediate inputB pointer */
q31_t *pSrc1, *pSrc2; /* Intermediate pointers */
q31_t sum, acc0, acc1, acc2, acc3; /* Accumulators */
q31_t x0, x1, x2, x3, c0;
uint32_t j, k, count, check, blkCnt;
int32_t blockSize1, blockSize2, blockSize3; /* loop counters */
arm_status status; /* status of Partial convolution */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Conditions to check which loopCounter holds
* the first and last indices of the output samples to be calculated. */
check = firstIndex + numPoints;
blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0;
blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3;
blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex);
blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 :
(int32_t) numPoints) : 0;
blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) +
(int32_t) firstIndex);
blockSize2 = (blockSize2 > 0) ? blockSize2 : 0;
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* Set the output pointer to point to the firstIndex
* of the output sample to be calculated. */
pOut = pDst + firstIndex;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed.
Since the partial convolution starts from firstIndex
Number of Macs to be performed is firstIndex + 1 */
count = 1U + firstIndex;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + firstIndex;
py = pSrc2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first loop starts here */
while (blockSize1 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 1] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* x[1] * y[srcBLen - 2] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* x[2] * y[srcBLen - 3] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* x[3] * y[srcBLen - 4] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum << 1;
/* Update the inputA and inputB pointers for next MAC calculation */
py = ++pSrc2;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1;
}
else
{
px = pIn1;
}
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2 */
blkCnt = ((uint32_t) blockSize2 >> 2U);
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[srcBLen - 1] sample */
c0 = *(py--);
/* Read x[3] sample */
x3 = *(px++);
/* Perform the multiply-accumulate */
/* acc0 += x[0] * y[srcBLen - 1] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc1 += x[1] * y[srcBLen - 1] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc2 += x[2] * y[srcBLen - 1] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc3 += x[3] * y[srcBLen - 1] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32);
/* Read y[srcBLen - 2] sample */
c0 = *(py--);
/* Read x[4] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
/* acc0 += x[1] * y[srcBLen - 2] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc1 += x[2] * y[srcBLen - 2] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc2 += x[3] * y[srcBLen - 2] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc3 += x[4] * y[srcBLen - 2] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x0 * c0)) >> 32);
/* Read y[srcBLen - 3] sample */
c0 = *(py--);
/* Read x[5] sample */
x1 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[srcBLen - 3] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc1 += x[3] * y[srcBLen - 2] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc2 += x[4] * y[srcBLen - 2] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc3 += x[5] * y[srcBLen - 2] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x1 * c0)) >> 32);
/* Read y[srcBLen - 4] sample */
c0 = *(py--);
/* Read x[6] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[3] * y[srcBLen - 4] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc1 += x[4] * y[srcBLen - 4] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc2 += x[5] * y[srcBLen - 4] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc3 += x[6] * y[srcBLen - 4] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x2 * c0)) >> 32);
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[srcBLen - 5] sample */
c0 = *(py--);
/* Read x[7] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[srcBLen - 5] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc1 += x[5] * y[srcBLen - 5] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc2 += x[6] * y[srcBLen - 5] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc3 += x[7] * y[srcBLen - 5] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32);
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (acc0 << 1);
*pOut++ = (q31_t) (acc1 << 1);
*pOut++ = (q31_t) (acc2 << 1);
*pOut++ = (q31_t) (acc3 << 1);
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = (uint32_t) blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum << 1;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = (uint32_t) blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum << 1;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen-1] * y[srcBLen-1] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py--))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = sum << 1;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
}
/**
* @} end of PartialConv group
*/

View File

@@ -1,753 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_partial_opt_q15.c
* Description: Partial convolution of Q15 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup PartialConv
* @{
*/
/**
* @brief Partial convolution of Q15 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] firstIndex is the first output sample to start with.
* @param[in] numPoints is the number of output points to be computed.
* @param[in] *pScratch1 points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @param[in] *pScratch2 points to scratch buffer of size min(srcALen, srcBLen).
* @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, state buffers should be aligned by 32-bit
*
* Refer to <code>arm_conv_partial_fast_q15()</code> for a faster but less precise version of this function for Cortex-M3 and Cortex-M4.
*
*
*/
#ifndef UNALIGNED_SUPPORT_DISABLE
arm_status arm_conv_partial_opt_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
uint32_t firstIndex,
uint32_t numPoints,
q15_t * pScratch1,
q15_t * pScratch2)
{
q15_t *pOut = pDst; /* output pointer */
q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */
q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */
q63_t acc0, acc1, acc2, acc3; /* Accumulator */
q31_t x1, x2, x3; /* Temporary variables to hold state and coefficient values */
q31_t y1, y2; /* State variables */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
uint32_t j, k, blkCnt; /* loop counter */
arm_status status; /* Status variable */
uint32_t tapCnt; /* loop count */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Temporary pointer for scratch2 */
py = pScratch2;
/* pointer to take end of scratch2 buffer */
pScr2 = pScratch2 + srcBLen - 1;
/* points to smaller length sequence */
px = pIn2;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy bigger length sequence(srcALen) samples in scratch1 buffer */
/* Copy (srcALen) samples in scratch buffer */
arm_copy_q15(pIn1, pScr1, srcALen);
/* Update pointers */
pScr1 += srcALen;
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update pointer */
pScr1 += (srcBLen - 1U);
/* Initialization of pIn2 pointer */
pIn2 = py;
pScratch1 += firstIndex;
pOut = pDst + firstIndex;
/* Actual convolution process starts here */
blkCnt = (numPoints) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read next two samples from scratch1 buffer */
x2 = *__SIMD32(pScr1)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pIn2);
y2 = _SIMD32_OFFSET(pIn2 + 2U);
/* multiply and accumlate */
acc0 = __SMLALD(x1, y1, acc0);
acc2 = __SMLALD(x2, y1, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
/* multiply and accumlate */
acc1 = __SMLALDX(x3, y1, acc1);
/* Read next two samples from scratch1 buffer */
x1 = _SIMD32_OFFSET(pScr1);
/* multiply and accumlate */
acc0 = __SMLALD(x2, y2, acc0);
acc2 = __SMLALD(x1, y2, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLALDX(x3, y1, acc3);
acc1 = __SMLALDX(x3, y2, acc1);
x2 = _SIMD32_OFFSET(pScr1 + 2U);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLALDX(x3, y2, acc3);
/* update scratch pointers */
pIn2 += 4U;
pScr1 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2);
acc1 += (*pScr1++ * *pIn2);
acc2 += (*pScr1++ * *pIn2);
acc3 += (*pScr1++ * *pIn2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the results in the accumulators in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 4U;
}
blkCnt = numPoints & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
/* Read next two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read two samples from smaller buffer */
y1 = *__SIMD32(pIn2)++;
acc0 = __SMLALD(x1, y1, acc0);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 1U;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
}
#else
arm_status arm_conv_partial_opt_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
uint32_t firstIndex,
uint32_t numPoints,
q15_t * pScratch1,
q15_t * pScratch2)
{
q15_t *pOut = pDst; /* output pointer */
q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch1 */
q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch1 */
q63_t acc0, acc1, acc2, acc3; /* Accumulator */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
uint32_t j, k, blkCnt; /* loop counter */
arm_status status; /* Status variable */
uint32_t tapCnt; /* loop count */
q15_t x10, x11, x20, x21; /* Temporary variables to hold srcA buffer */
q15_t y10, y11; /* Temporary variables to hold srcB buffer */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Temporary pointer for scratch2 */
py = pScratch2;
/* pointer to take end of scratch2 buffer */
pScr2 = pScratch2 + srcBLen - 1;
/* points to smaller length sequence */
px = pIn2;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr2-- = *px++;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy bigger length sequence(srcALen) samples in scratch1 buffer */
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
*pScr1++ = *pIn1++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcALen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = *pIn1++;
/* Decrement the loop counter */
k--;
}
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = (srcBLen - 1U) % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* Initialization of pIn2 pointer */
pIn2 = py;
pScratch1 += firstIndex;
pOut = pDst + firstIndex;
/* Actual convolution process starts here */
blkCnt = (numPoints) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x10 = *pScr1++;
x11 = *pScr1++;
/* Read next two samples from scratch1 buffer */
x20 = *pScr1++;
x21 = *pScr1++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
/* Read two samples from smaller buffer */
y10 = *pIn2;
y11 = *(pIn2 + 1U);
/* multiply and accumlate */
acc0 += (q63_t) x10 *y10;
acc0 += (q63_t) x11 *y11;
acc2 += (q63_t) x20 *y10;
acc2 += (q63_t) x21 *y11;
/* multiply and accumlate */
acc1 += (q63_t) x11 *y10;
acc1 += (q63_t) x20 *y11;
/* Read next two samples from scratch1 buffer */
x10 = *pScr1;
x11 = *(pScr1 + 1U);
/* multiply and accumlate */
acc3 += (q63_t) x21 *y10;
acc3 += (q63_t) x10 *y11;
/* Read next two samples from scratch2 buffer */
y10 = *(pIn2 + 2U);
y11 = *(pIn2 + 3U);
/* multiply and accumlate */
acc0 += (q63_t) x20 *y10;
acc0 += (q63_t) x21 *y11;
acc2 += (q63_t) x10 *y10;
acc2 += (q63_t) x11 *y11;
acc1 += (q63_t) x21 *y10;
acc1 += (q63_t) x10 *y11;
/* Read next two samples from scratch1 buffer */
x20 = *(pScr1 + 2);
x21 = *(pScr1 + 3);
/* multiply and accumlate */
acc3 += (q63_t) x11 *y10;
acc3 += (q63_t) x20 *y11;
/* update scratch pointers */
pIn2 += 4U;
pScr1 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2);
acc1 += (*pScr1++ * *pIn2);
acc2 += (*pScr1++ * *pIn2);
acc3 += (*pScr1++ * *pIn2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the results in the accumulators in the destination buffer. */
*pOut++ = __SSAT((acc0 >> 15), 16);
*pOut++ = __SSAT((acc1 >> 15), 16);
*pOut++ = __SSAT((acc2 >> 15), 16);
*pOut++ = __SSAT((acc3 >> 15), 16);
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 4U;
}
blkCnt = numPoints & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
/* Read next two samples from scratch1 buffer */
x10 = *pScr1++;
x11 = *pScr1++;
/* Read two samples from smaller buffer */
y10 = *pIn2++;
y11 = *pIn2++;
/* multiply and accumlate */
acc0 += (q63_t) x10 *y10;
acc0 += (q63_t) x11 *y11;
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Initialization of inputB pointer */
pIn2 = py;
pScratch1 += 1U;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/**
* @} end of PartialConv group
*/

View File

@@ -1,791 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_partial_opt_q7.c
* Description: Partial convolution of Q7 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup PartialConv
* @{
*/
/**
* @brief Partial convolution of Q7 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] firstIndex is the first output sample to start with.
* @param[in] numPoints is the number of output points to be computed.
* @param[in] *pScratch1 points to scratch buffer(of type q15_t) of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @param[in] *pScratch2 points to scratch buffer (of type q15_t) of size min(srcALen, srcBLen).
* @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit
*
*
*
*/
#ifndef UNALIGNED_SUPPORT_DISABLE
arm_status arm_conv_partial_opt_q7(
q7_t * pSrcA,
uint32_t srcALen,
q7_t * pSrcB,
uint32_t srcBLen,
q7_t * pDst,
uint32_t firstIndex,
uint32_t numPoints,
q15_t * pScratch1,
q15_t * pScratch2)
{
q15_t *pScr2, *pScr1; /* Intermediate pointers for scratch pointers */
q15_t x4; /* Temporary input variable */
q7_t *pIn1, *pIn2; /* inputA and inputB pointer */
uint32_t j, k, blkCnt, tapCnt; /* loop counter */
q7_t *px; /* Temporary input1 pointer */
q15_t *py; /* Temporary input2 pointer */
q31_t acc0, acc1, acc2, acc3; /* Accumulator */
q31_t x1, x2, x3, y1; /* Temporary input variables */
arm_status status;
q7_t *pOut = pDst; /* output pointer */
q7_t out0, out1, out2, out3; /* temporary variables */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* pointer to take end of scratch2 buffer */
pScr2 = pScratch2;
/* points to smaller length sequence */
px = pIn2 + srcBLen - 1;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
x4 = (q15_t) * px--;
*pScr2++ = x4;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy (srcALen) samples in scratch buffer */
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcALen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
/* Decrement the loop counter */
k--;
}
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update pointer */
pScr1 += (srcBLen - 1U);
/* Temporary pointer for scratch2 */
py = pScratch2;
/* Initialization of pIn2 pointer */
pIn2 = (q7_t *) py;
pScr2 = py;
pOut = pDst + firstIndex;
pScratch1 += firstIndex;
/* Actual convolution process starts here */
blkCnt = (numPoints) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read next two samples from scratch1 buffer */
x2 = *__SIMD32(pScr1)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pScr2);
/* multiply and accumlate */
acc0 = __SMLAD(x1, y1, acc0);
acc2 = __SMLAD(x2, y1, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
/* multiply and accumlate */
acc1 = __SMLADX(x3, y1, acc1);
/* Read next two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pScr2 + 2U);
acc0 = __SMLAD(x2, y1, acc0);
acc2 = __SMLAD(x1, y1, acc2);
acc1 = __SMLADX(x3, y1, acc1);
x2 = *__SIMD32(pScr1)++;
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
pScr2 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pScr2);
acc1 += (*pScr1++ * *pScr2);
acc2 += (*pScr1++ * *pScr2);
acc3 += (*pScr1++ * *pScr2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
out0 = (q7_t) (__SSAT(acc0 >> 7U, 8));
out1 = (q7_t) (__SSAT(acc1 >> 7U, 8));
out2 = (q7_t) (__SSAT(acc2 >> 7U, 8));
out3 = (q7_t) (__SSAT(acc3 >> 7U, 8));
*__SIMD32(pOut)++ = __PACKq7(out0, out1, out2, out3);
/* Initialization of inputB pointer */
pScr2 = py;
pScratch1 += 4U;
}
blkCnt = (numPoints) & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
/* Read next two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read two samples from smaller buffer */
y1 = *__SIMD32(pScr2)++;
acc0 = __SMLAD(x1, y1, acc0);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pScr2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8));
/* Initialization of inputB pointer */
pScr2 = py;
pScratch1 += 1U;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
return (status);
}
#else
arm_status arm_conv_partial_opt_q7(
q7_t * pSrcA,
uint32_t srcALen,
q7_t * pSrcB,
uint32_t srcBLen,
q7_t * pDst,
uint32_t firstIndex,
uint32_t numPoints,
q15_t * pScratch1,
q15_t * pScratch2)
{
q15_t *pScr2, *pScr1; /* Intermediate pointers for scratch pointers */
q15_t x4; /* Temporary input variable */
q7_t *pIn1, *pIn2; /* inputA and inputB pointer */
uint32_t j, k, blkCnt, tapCnt; /* loop counter */
q7_t *px; /* Temporary input1 pointer */
q15_t *py; /* Temporary input2 pointer */
q31_t acc0, acc1, acc2, acc3; /* Accumulator */
arm_status status;
q7_t *pOut = pDst; /* output pointer */
q15_t x10, x11, x20, x21; /* Temporary input variables */
q15_t y10, y11; /* Temporary input variables */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* pointer to take end of scratch2 buffer */
pScr2 = pScratch2;
/* points to smaller length sequence */
px = pIn2 + srcBLen - 1;
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
x4 = (q15_t) * px--;
*pScr2++ = x4;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
x4 = (q15_t) * px--;
*pScr2++ = x4;
/* Decrement the loop counter */
k--;
}
/* Initialze temporary scratch pointer */
pScr1 = pScratch1;
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy (srcALen) samples in scratch buffer */
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcALen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
/* Decrement the loop counter */
k--;
}
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = (srcBLen - 1U) % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* Temporary pointer for scratch2 */
py = pScratch2;
/* Initialization of pIn2 pointer */
pIn2 = (q7_t *) py;
pScr2 = py;
pOut = pDst + firstIndex;
pScratch1 += firstIndex;
/* Actual convolution process starts here */
blkCnt = (numPoints) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x10 = *pScr1++;
x11 = *pScr1++;
/* Read next two samples from scratch1 buffer */
x20 = *pScr1++;
x21 = *pScr1++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
/* Read four samples from smaller buffer */
y10 = *pScr2;
y11 = *(pScr2 + 1U);
/* multiply and accumlate */
acc0 += (q31_t) x10 *y10;
acc0 += (q31_t) x11 *y11;
acc2 += (q31_t) x20 *y10;
acc2 += (q31_t) x21 *y11;
acc1 += (q31_t) x11 *y10;
acc1 += (q31_t) x20 *y11;
/* Read next two samples from scratch1 buffer */
x10 = *pScr1;
x11 = *(pScr1 + 1U);
/* multiply and accumlate */
acc3 += (q31_t) x21 *y10;
acc3 += (q31_t) x10 *y11;
/* Read next two samples from scratch2 buffer */
y10 = *(pScr2 + 2U);
y11 = *(pScr2 + 3U);
/* multiply and accumlate */
acc0 += (q31_t) x20 *y10;
acc0 += (q31_t) x21 *y11;
acc2 += (q31_t) x10 *y10;
acc2 += (q31_t) x11 *y11;
acc1 += (q31_t) x21 *y10;
acc1 += (q31_t) x10 *y11;
/* Read next two samples from scratch1 buffer */
x20 = *(pScr1 + 2);
x21 = *(pScr1 + 3);
/* multiply and accumlate */
acc3 += (q31_t) x11 *y10;
acc3 += (q31_t) x20 *y11;
/* update scratch pointers */
pScr1 += 4U;
pScr2 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pScr2);
acc1 += (*pScr1++ * *pScr2);
acc2 += (*pScr1++ * *pScr2);
acc3 += (*pScr1++ * *pScr2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8));
*pOut++ = (q7_t) (__SSAT(acc1 >> 7U, 8));
*pOut++ = (q7_t) (__SSAT(acc2 >> 7U, 8));
*pOut++ = (q7_t) (__SSAT(acc3 >> 7U, 8));
/* Initialization of inputB pointer */
pScr2 = py;
pScratch1 += 4U;
}
blkCnt = (numPoints) & 0x3;
/* Calculate convolution for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
/* Read next two samples from scratch1 buffer */
x10 = *pScr1++;
x11 = *pScr1++;
/* Read two samples from smaller buffer */
y10 = *pScr2++;
y11 = *pScr2++;
/* multiply and accumlate */
acc0 += (q31_t) x10 *y10;
acc0 += (q31_t) x11 *y11;
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pScr2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8));
/* Initialization of inputB pointer */
pScr2 = py;
pScratch1 += 1U;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
return (status);
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/**
* @} end of PartialConv group
*/

View File

@@ -1,795 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_partial_q15.c
* Description: Partial convolution of Q15 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup PartialConv
* @{
*/
/**
* @brief Partial convolution of Q15 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] firstIndex is the first output sample to start with.
* @param[in] numPoints is the number of output points to be computed.
* @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
*
* Refer to <code>arm_conv_partial_fast_q15()</code> for a faster but less precise version of this function for Cortex-M3 and Cortex-M4.
*
* \par
* Refer the function <code>arm_conv_partial_opt_q15()</code> for a faster implementation of this function using scratch buffers.
*
*/
arm_status arm_conv_partial_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
uint32_t firstIndex,
uint32_t numPoints)
{
#if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *pOut = pDst; /* output pointer */
q63_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
q15_t *pSrc1, *pSrc2; /* Intermediate pointers */
q31_t x0, x1, x2, x3, c0; /* Temporary input variables */
uint32_t j, k, count, check, blkCnt;
int32_t blockSize1, blockSize2, blockSize3; /* loop counter */
arm_status status; /* status of Partial convolution */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Conditions to check which loopCounter holds
* the first and last indices of the output samples to be calculated. */
check = firstIndex + numPoints;
blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0;
blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3;
blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex);
blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 :
(int32_t) numPoints) : 0;
blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) +
(int32_t) firstIndex);
blockSize2 = (blockSize2 > 0) ? blockSize2 : 0;
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* Set the output pointer to point to the firstIndex
* of the output sample to be calculated. */
pOut = pDst + firstIndex;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed.
Since the partial convolution starts from firstIndex
Number of Macs to be performed is firstIndex + 1 */
count = 1U + firstIndex;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + firstIndex;
py = pSrc2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* For loop unrolling by 4, this stage is divided into two. */
/* First part of this stage computes the MAC operations less than 4 */
/* Second part of this stage computes the MAC operations greater than or equal to 4 */
/* The first part of the stage starts here */
while ((count < 4U) && (blockSize1 > 0))
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Loop over number of MAC operations between
* inputA samples and inputB samples */
k = count;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = __SMLALD(*px++, *py--, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Update the inputA and inputB pointers for next MAC calculation */
py = ++pSrc2;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* The second part of the stage starts here */
/* The internal loop, over count, is unrolled by 4 */
/* To, read the last two inputB samples using SIMD:
* y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */
py = py - 1;
while (blockSize1 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* x[0], x[1] are multiplied with y[srcBLen - 1], y[srcBLen - 2] respectively */
sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
/* x[2], x[3] are multiplied with y[srcBLen - 3], y[srcBLen - 4] respectively */
sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
/* Decrement the loop counter */
k--;
}
/* For the next MAC operations, the pointer py is used without SIMD
* So, py is incremented by 1 */
py = py + 1U;
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = __SMLALD(*px++, *py--, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Update the inputA and inputB pointers for next MAC calculation */
py = ++pSrc2 - 1U;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1;
}
else
{
px = pIn1;
}
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is the index by which the pointer pIn1 to be incremented */
count = 0U;
/* --------------------
* Stage2 process
* -------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
py = py - 1U;
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1] samples */
x0 = *__SIMD32(px);
/* read x[1], x[2] samples */
x1 = _SIMD32_OFFSET(px+1);
px+= 2U;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read the last two inputB samples using SIMD:
* y[srcBLen - 1] and y[srcBLen - 2] */
c0 = *__SIMD32(py)--;
/* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */
acc0 = __SMLALDX(x0, c0, acc0);
/* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */
acc1 = __SMLALDX(x1, c0, acc1);
/* Read x[2], x[3] */
x2 = *__SIMD32(px);
/* Read x[3], x[4] */
x3 = _SIMD32_OFFSET(px+1);
/* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */
acc2 = __SMLALDX(x2, c0, acc2);
/* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */
acc3 = __SMLALDX(x3, c0, acc3);
/* Read y[srcBLen - 3] and y[srcBLen - 4] */
c0 = *__SIMD32(py)--;
/* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */
acc0 = __SMLALDX(x2, c0, acc0);
/* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */
acc1 = __SMLALDX(x3, c0, acc1);
/* Read x[4], x[5] */
x0 = _SIMD32_OFFSET(px+2);
/* Read x[5], x[6] */
x1 = _SIMD32_OFFSET(px+3);
px += 4U;
/* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */
acc2 = __SMLALDX(x0, c0, acc2);
/* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */
acc3 = __SMLALDX(x1, c0, acc3);
} while (--k);
/* For the next MAC operations, SIMD is not used
* So, the 16 bit pointer if inputB, py is updated */
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
if (k == 1U)
{
/* Read y[srcBLen - 5] */
c0 = *(py+1);
#ifdef ARM_MATH_BIG_ENDIAN
c0 = c0 << 16U;
#else
c0 = c0 & 0x0000FFFF;
#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
/* Read x[7] */
x3 = *__SIMD32(px);
px++;
/* Perform the multiply-accumulates */
acc0 = __SMLALD(x0, c0, acc0);
acc1 = __SMLALD(x1, c0, acc1);
acc2 = __SMLALDX(x1, c0, acc2);
acc3 = __SMLALDX(x3, c0, acc3);
}
if (k == 2U)
{
/* Read y[srcBLen - 5], y[srcBLen - 6] */
c0 = _SIMD32_OFFSET(py);
/* Read x[7], x[8] */
x3 = *__SIMD32(px);
/* Read x[9] */
x2 = _SIMD32_OFFSET(px+1);
px += 2U;
/* Perform the multiply-accumulates */
acc0 = __SMLALDX(x0, c0, acc0);
acc1 = __SMLALDX(x1, c0, acc1);
acc2 = __SMLALDX(x3, c0, acc2);
acc3 = __SMLALDX(x2, c0, acc3);
}
if (k == 3U)
{
/* Read y[srcBLen - 5], y[srcBLen - 6] */
c0 = _SIMD32_OFFSET(py);
/* Read x[7], x[8] */
x3 = *__SIMD32(px);
/* Read x[9] */
x2 = _SIMD32_OFFSET(px+1);
/* Perform the multiply-accumulates */
acc0 = __SMLALDX(x0, c0, acc0);
acc1 = __SMLALDX(x1, c0, acc1);
acc2 = __SMLALDX(x3, c0, acc2);
acc3 = __SMLALDX(x2, c0, acc3);
c0 = *(py-1);
#ifdef ARM_MATH_BIG_ENDIAN
c0 = c0 << 16U;
#else
c0 = c0 & 0x0000FFFF;
#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
/* Read x[10] */
x3 = _SIMD32_OFFSET(px+2);
px += 3U;
/* Perform the multiply-accumulates */
acc0 = __SMLALDX(x1, c0, acc0);
acc1 = __SMLALD(x2, c0, acc1);
acc2 = __SMLALDX(x2, c0, acc2);
acc3 = __SMLALDX(x3, c0, acc3);
}
/* Store the results in the accumulators in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = (uint32_t) blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += (q63_t) ((q31_t) * px++ * *py--);
sum += (q63_t) ((q31_t) * px++ * *py--);
sum += (q63_t) ((q31_t) * px++ * *py--);
sum += (q63_t) ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += (q63_t) ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT(sum >> 15, 16));
/* Increment the pointer pIn1 index, count by 1 */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = (uint32_t) blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT(sum >> 15, 16));
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
pIn2 = pSrc2 - 1U;
py = pIn2;
/* -------------------
* Stage3 process
* ------------------*/
/* For loop unrolling by 4, this stage is divided into two. */
/* First part of this stage computes the MAC operations greater than 4 */
/* Second part of this stage computes the MAC operations less than or equal to 4 */
/* The first part of the stage starts here */
j = count >> 2U;
while ((j > 0U) && (blockSize3 > 0))
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[srcALen - srcBLen + 1], x[srcALen - srcBLen + 2] are multiplied
* with y[srcBLen - 1], y[srcBLen - 2] respectively */
sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
/* x[srcALen - srcBLen + 3], x[srcALen - srcBLen + 4] are multiplied
* with y[srcBLen - 3], y[srcBLen - 4] respectively */
sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
/* Decrement the loop counter */
k--;
}
/* For the next MAC operations, the pointer py is used without SIMD
* So, py is incremented by 1 */
py = py + 1U;
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* sum += x[srcALen - srcBLen + 5] * y[srcBLen - 5] */
sum = __SMLALD(*px++, *py--, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pIn2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
j--;
}
/* The second part of the stage starts here */
/* SIMD is not used for the next MAC operations,
* so pointer py is updated to read only one sample at a time */
py = py + 1U;
while (blockSize3 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen-1] * y[srcBLen-1] */
sum = __SMLALD(*px++, *py--, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
#else
/* Run the below code for Cortex-M0 */
q15_t *pIn1 = pSrcA; /* inputA pointer */
q15_t *pIn2 = pSrcB; /* inputB pointer */
q63_t sum; /* Accumulator */
uint32_t i, j; /* loop counters */
arm_status status; /* status of Partial convolution */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* Loop to calculate convolution for output length number of values */
for (i = firstIndex; i <= (firstIndex + numPoints - 1); i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0; j <= i; j++)
{
/* Check the array limitations */
if (((i - j) < srcBLen) && (j < srcALen))
{
/* z[i] += x[i-j] * y[j] */
sum += ((q31_t) pIn1[j] * (pIn2[i - j]));
}
}
/* Store the output in the destination buffer */
pDst[i] = (q15_t) __SSAT((sum >> 15U), 16U);
}
/* set status as ARM_SUCCESS as there are no argument errors */
status = ARM_MATH_SUCCESS;
}
return (status);
#endif /* #if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) */
}
/**
* @} end of PartialConv group
*/

View File

@@ -1,616 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_partial_q31.c
* Description: Partial convolution of Q31 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup PartialConv
* @{
*/
/**
* @brief Partial convolution of Q31 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] firstIndex is the first output sample to start with.
* @param[in] numPoints is the number of output points to be computed.
* @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
*
* See <code>arm_conv_partial_fast_q31()</code> for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4.
*/
arm_status arm_conv_partial_q31(
q31_t * pSrcA,
uint32_t srcALen,
q31_t * pSrcB,
uint32_t srcBLen,
q31_t * pDst,
uint32_t firstIndex,
uint32_t numPoints)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q31_t *pIn1; /* inputA pointer */
q31_t *pIn2; /* inputB pointer */
q31_t *pOut = pDst; /* output pointer */
q31_t *px; /* Intermediate inputA pointer */
q31_t *py; /* Intermediate inputB pointer */
q31_t *pSrc1, *pSrc2; /* Intermediate pointers */
q63_t sum, acc0, acc1, acc2; /* Accumulator */
q31_t x0, x1, x2, c0;
uint32_t j, k, count, check, blkCnt;
int32_t blockSize1, blockSize2, blockSize3; /* loop counter */
arm_status status; /* status of Partial convolution */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Conditions to check which loopCounter holds
* the first and last indices of the output samples to be calculated. */
check = firstIndex + numPoints;
blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0;
blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3;
blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex);
blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 :
(int32_t) numPoints) : 0;
blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) +
(int32_t) firstIndex);
blockSize2 = (blockSize2 > 0) ? blockSize2 : 0;
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* Set the output pointer to point to the firstIndex
* of the output sample to be calculated. */
pOut = pDst + firstIndex;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed.
Since the partial convolution starts from firstIndex
Number of Macs to be performed is firstIndex + 1 */
count = 1U + firstIndex;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + firstIndex;
py = pSrc2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first loop starts here */
while (blockSize1 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 1] */
sum += (q63_t) * px++ * (*py--);
/* x[1] * y[srcBLen - 2] */
sum += (q63_t) * px++ * (*py--);
/* x[2] * y[srcBLen - 3] */
sum += (q63_t) * px++ * (*py--);
/* x[3] * y[srcBLen - 4] */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (sum >> 31);
/* Update the inputA and inputB pointers for next MAC calculation */
py = ++pSrc2;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1;
}
else
{
px = pIn1;
}
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blkCnt */
blkCnt = blockSize2 / 3;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
/* read x[0], x[1] samples */
x0 = *(px++);
x1 = *(px++);
/* Apply loop unrolling and compute 3 MACs simultaneously. */
k = srcBLen / 3;
/* First part of the processing with loop unrolling. Compute 3 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 2 samples. */
do
{
/* Read y[srcBLen - 1] sample */
c0 = *(py);
/* Read x[2] sample */
x2 = *(px);
/* Perform the multiply-accumulates */
/* acc0 += x[0] * y[srcBLen - 1] */
acc0 += (q63_t) x0 *c0;
/* acc1 += x[1] * y[srcBLen - 1] */
acc1 += (q63_t) x1 *c0;
/* acc2 += x[2] * y[srcBLen - 1] */
acc2 += (q63_t) x2 *c0;
/* Read y[srcBLen - 2] sample */
c0 = *(py - 1U);
/* Read x[3] sample */
x0 = *(px + 1U);
/* Perform the multiply-accumulate */
/* acc0 += x[1] * y[srcBLen - 2] */
acc0 += (q63_t) x1 *c0;
/* acc1 += x[2] * y[srcBLen - 2] */
acc1 += (q63_t) x2 *c0;
/* acc2 += x[3] * y[srcBLen - 2] */
acc2 += (q63_t) x0 *c0;
/* Read y[srcBLen - 3] sample */
c0 = *(py - 2U);
/* Read x[4] sample */
x1 = *(px + 2U);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[srcBLen - 3] */
acc0 += (q63_t) x2 *c0;
/* acc1 += x[3] * y[srcBLen - 2] */
acc1 += (q63_t) x0 *c0;
/* acc2 += x[4] * y[srcBLen - 2] */
acc2 += (q63_t) x1 *c0;
px += 3U;
py -= 3U;
} while (--k);
/* If the srcBLen is not a multiple of 3, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen - (3 * (srcBLen / 3));
while (k > 0U)
{
/* Read y[srcBLen - 5] sample */
c0 = *(py--);
/* Read x[7] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[srcBLen - 5] */
acc0 += (q63_t) x0 *c0;
/* acc1 += x[5] * y[srcBLen - 5] */
acc1 += (q63_t) x1 *c0;
/* acc2 += x[6] * y[srcBLen - 5] */
acc2 += (q63_t) x2 *c0;
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (acc0 >> 31);
*pOut++ = (q31_t) (acc1 >> 31);
*pOut++ = (q31_t) (acc2 >> 31);
/* Increment the pointer pIn1 index, count by 3 */
count += 3U;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 3, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 - 3 * (blockSize2 / 3);
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (sum >> 31);
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = (uint32_t) blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (sum >> 31);
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The blockSize3 variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* If the blockSize3 is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (sum >> 31);
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
#else
/* Run the below code for Cortex-M0 */
q31_t *pIn1 = pSrcA; /* inputA pointer */
q31_t *pIn2 = pSrcB; /* inputB pointer */
q63_t sum; /* Accumulator */
uint32_t i, j; /* loop counters */
arm_status status; /* status of Partial convolution */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* Loop to calculate convolution for output length number of values */
for (i = firstIndex; i <= (firstIndex + numPoints - 1); i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0; j <= i; j++)
{
/* Check the array limitations */
if (((i - j) < srcBLen) && (j < srcALen))
{
/* z[i] += x[i-j] * y[j] */
sum += ((q63_t) pIn1[j] * (pIn2[i - j]));
}
}
/* Store the output in the destination buffer */
pDst[i] = (q31_t) (sum >> 31U);
}
/* set status as ARM_SUCCESS as there are no argument errors */
status = ARM_MATH_SUCCESS;
}
return (status);
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of PartialConv group
*/

View File

@@ -1,750 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_partial_q7.c
* Description: Partial convolution of Q7 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup PartialConv
* @{
*/
/**
* @brief Partial convolution of Q7 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] firstIndex is the first output sample to start with.
* @param[in] numPoints is the number of output points to be computed.
* @return Returns either ARM_MATH_SUCCESS if the function completed correctly or ARM_MATH_ARGUMENT_ERROR if the requested subset is not in the range [0 srcALen+srcBLen-2].
*
* \par
* Refer the function <code>arm_conv_partial_opt_q7()</code> for a faster implementation of this function.
*
*/
arm_status arm_conv_partial_q7(
q7_t * pSrcA,
uint32_t srcALen,
q7_t * pSrcB,
uint32_t srcBLen,
q7_t * pDst,
uint32_t firstIndex,
uint32_t numPoints)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q7_t *pIn1; /* inputA pointer */
q7_t *pIn2; /* inputB pointer */
q7_t *pOut = pDst; /* output pointer */
q7_t *px; /* Intermediate inputA pointer */
q7_t *py; /* Intermediate inputB pointer */
q7_t *pSrc1, *pSrc2; /* Intermediate pointers */
q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
q31_t input1, input2;
q15_t in1, in2;
q7_t x0, x1, x2, x3, c0, c1;
uint32_t j, k, count, check, blkCnt;
int32_t blockSize1, blockSize2, blockSize3; /* loop counter */
arm_status status;
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_MATH_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* Conditions to check which loopCounter holds
* the first and last indices of the output samples to be calculated. */
check = firstIndex + numPoints;
blockSize3 = ((int32_t)check > (int32_t)srcALen) ? (int32_t)check - (int32_t)srcALen : 0;
blockSize3 = ((int32_t)firstIndex > (int32_t)srcALen - 1) ? blockSize3 - (int32_t)firstIndex + (int32_t)srcALen : blockSize3;
blockSize1 = (((int32_t) srcBLen - 1) - (int32_t) firstIndex);
blockSize1 = (blockSize1 > 0) ? ((check > (srcBLen - 1U)) ? blockSize1 :
(int32_t) numPoints) : 0;
blockSize2 = (int32_t) check - ((blockSize3 + blockSize1) +
(int32_t) firstIndex);
blockSize2 = (blockSize2 > 0) ? blockSize2 : 0;
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* Set the output pointer to point to the firstIndex
* of the output sample to be calculated. */
pOut = pDst + firstIndex;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed.
Since the partial convolution starts from from firstIndex
Number of Macs to be performed is firstIndex + 1 */
count = 1U + firstIndex;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + firstIndex;
py = pSrc2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] , x[1] */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[srcBLen - 1] , y[srcBLen - 2] */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* x[0] * y[srcBLen - 1] */
/* x[1] * y[srcBLen - 2] */
sum = __SMLAD(input1, input2, sum);
/* x[2] , x[3] */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[srcBLen - 3] , y[srcBLen - 4] */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* x[2] * y[srcBLen - 3] */
/* x[3] * y[srcBLen - 4] */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(sum >> 7, 8));
/* Update the inputA and inputB pointers for next MAC calculation */
py = ++pSrc2;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1;
}
else
{
px = pIn1;
}
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = ((uint32_t) blockSize2 >> 2U);
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[srcBLen - 1] sample */
c0 = *(py--);
/* Read y[srcBLen - 2] sample */
c1 = *(py--);
/* Read x[3] sample */
x3 = *(px++);
/* x[0] and x[1] are packed */
in1 = (q15_t) x0;
in2 = (q15_t) x1;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[srcBLen - 1] and y[srcBLen - 2] are packed */
in1 = (q15_t) c0;
in2 = (q15_t) c1;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */
acc0 = __SMLAD(input1, input2, acc0);
/* x[1] and x[2] are packed */
in1 = (q15_t) x1;
in2 = (q15_t) x2;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */
acc1 = __SMLAD(input1, input2, acc1);
/* x[2] and x[3] are packed */
in1 = (q15_t) x2;
in2 = (q15_t) x3;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */
acc2 = __SMLAD(input1, input2, acc2);
/* Read x[4] sample */
x0 = *(px++);
/* x[3] and x[4] are packed */
in1 = (q15_t) x3;
in2 = (q15_t) x0;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */
acc3 = __SMLAD(input1, input2, acc3);
/* Read y[srcBLen - 3] sample */
c0 = *(py--);
/* Read y[srcBLen - 4] sample */
c1 = *(py--);
/* Read x[5] sample */
x1 = *(px++);
/* x[2] and x[3] are packed */
in1 = (q15_t) x2;
in2 = (q15_t) x3;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[srcBLen - 3] and y[srcBLen - 4] are packed */
in1 = (q15_t) c0;
in2 = (q15_t) c1;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */
acc0 = __SMLAD(input1, input2, acc0);
/* x[3] and x[4] are packed */
in1 = (q15_t) x3;
in2 = (q15_t) x0;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */
acc1 = __SMLAD(input1, input2, acc1);
/* x[4] and x[5] are packed */
in1 = (q15_t) x0;
in2 = (q15_t) x1;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */
acc2 = __SMLAD(input1, input2, acc2);
/* Read x[6] sample */
x2 = *(px++);
/* x[5] and x[6] are packed */
in1 = (q15_t) x1;
in2 = (q15_t) x2;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */
acc3 = __SMLAD(input1, input2, acc3);
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[srcBLen - 5] sample */
c0 = *(py--);
/* Read x[7] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[srcBLen - 5] */
acc0 += ((q31_t) x0 * c0);
/* acc1 += x[5] * y[srcBLen - 5] */
acc1 += ((q31_t) x1 * c0);
/* acc2 += x[6] * y[srcBLen - 5] */
acc2 += ((q31_t) x2 * c0);
/* acc3 += x[7] * y[srcBLen - 5] */
acc3 += ((q31_t) x3 * c0);
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(acc0 >> 7, 8));
*pOut++ = (q7_t) (__SSAT(acc1 >> 7, 8));
*pOut++ = (q7_t) (__SSAT(acc2 >> 7, 8));
*pOut++ = (q7_t) (__SSAT(acc3 >> 7, 8));
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = (uint32_t) blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Reading two inputs of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Reading two inputs of SrcB buffer and packing */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Perform the multiply-accumulates */
sum = __SMLAD(input1, input2, sum);
/* Reading two inputs of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Reading two inputs of SrcB buffer and packing */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Perform the multiply-accumulates */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(sum >> 7, 8));
/* Increment the pointer pIn1 index, count by 1 */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = (uint32_t) blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(sum >> 7, 8));
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
if ((int32_t)firstIndex - (int32_t)srcBLen + 1 > 0)
{
px = pIn1 + firstIndex - srcBLen + 1 + count;
}
else
{
px = pIn1 + count;
}
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Reading two inputs, x[srcALen - srcBLen + 1] and x[srcALen - srcBLen + 2] of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Reading two inputs, y[srcBLen - 1] and y[srcBLen - 2] of SrcB buffer and packing */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */
/* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */
sum = __SMLAD(input1, input2, sum);
/* Reading two inputs, x[srcALen - srcBLen + 3] and x[srcALen - srcBLen + 4] of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Reading two inputs, y[srcBLen - 3] and y[srcBLen - 4] of SrcB buffer and packing */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */
/* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen-1] * y[srcBLen-1] */
sum += ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(sum >> 7, 8));
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
#else
/* Run the below code for Cortex-M0 */
q7_t *pIn1 = pSrcA; /* inputA pointer */
q7_t *pIn2 = pSrcB; /* inputB pointer */
q31_t sum; /* Accumulator */
uint32_t i, j; /* loop counters */
arm_status status; /* status of Partial convolution */
/* Check for range of output samples to be calculated */
if ((firstIndex + numPoints) > ((srcALen + (srcBLen - 1U))))
{
/* Set status as ARM_ARGUMENT_ERROR */
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* Loop to calculate convolution for output length number of values */
for (i = firstIndex; i <= (firstIndex + numPoints - 1); i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0; j <= i; j++)
{
/* Check the array limitations */
if (((i - j) < srcBLen) && (j < srcALen))
{
/* z[i] += x[i-j] * y[j] */
sum += ((q15_t) pIn1[j] * (pIn2[i - j]));
}
}
/* Store the output in the destination buffer */
pDst[i] = (q7_t) __SSAT((sum >> 7U), 8U);
}
/* set status as ARM_SUCCESS as there are no argument errors */
status = ARM_MATH_SUCCESS;
}
return (status);
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of PartialConv group
*/

View File

@@ -1,722 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_q15.c
* Description: Convolution of Q15 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Conv
* @{
*/
/**
* @brief Convolution of Q15 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both inputs are in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* This approach provides 33 guard bits and there is no risk of overflow.
* The 34.30 result is then truncated to 34.15 format by discarding the low 15 bits and then saturated to 1.15 format.
*
* \par
* Refer to <code>arm_conv_fast_q15()</code> for a faster but less precise version of this function for Cortex-M3 and Cortex-M4.
*
* \par
* Refer the function <code>arm_conv_opt_q15()</code> for a faster implementation of this function using scratch buffers.
*
*/
void arm_conv_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst)
{
#if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *pOut = pDst; /* output pointer */
q63_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
q15_t *pSrc1, *pSrc2; /* Intermediate pointers */
q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold state and coefficient values */
uint32_t blockSize1, blockSize2, blockSize3, j, k, count, blkCnt; /* loop counter */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* The algorithm is implemented in three stages.
The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* For loop unrolling by 4, this stage is divided into two. */
/* First part of this stage computes the MAC operations less than 4 */
/* Second part of this stage computes the MAC operations greater than or equal to 4 */
/* The first part of the stage starts here */
while ((count < 4U) && (blockSize1 > 0U))
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Loop over number of MAC operations between
* inputA samples and inputB samples */
k = count;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = __SMLALD(*px++, *py--, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Update the inputA and inputB pointers for next MAC calculation */
py = pIn2 + count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* The second part of the stage starts here */
/* The internal loop, over count, is unrolled by 4 */
/* To, read the last two inputB samples using SIMD:
* y[srcBLen] and y[srcBLen-1] coefficients, py is decremented by 1 */
py = py - 1;
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* x[0], x[1] are multiplied with y[srcBLen - 1], y[srcBLen - 2] respectively */
sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
/* x[2], x[3] are multiplied with y[srcBLen - 3], y[srcBLen - 4] respectively */
sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
/* Decrement the loop counter */
k--;
}
/* For the next MAC operations, the pointer py is used without SIMD
* So, py is incremented by 1 */
py = py + 1U;
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = __SMLALD(*px++, *py--, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Update the inputA and inputB pointers for next MAC calculation */
py = pIn2 + (count - 1U);
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is the index by which the pointer pIn1 to be incremented */
count = 0U;
/* --------------------
* Stage2 process
* -------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
py = py - 1U;
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1] samples */
x0 = *__SIMD32(px);
/* read x[1], x[2] samples */
x1 = _SIMD32_OFFSET(px+1);
px+= 2U;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read the last two inputB samples using SIMD:
* y[srcBLen - 1] and y[srcBLen - 2] */
c0 = *__SIMD32(py)--;
/* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */
acc0 = __SMLALDX(x0, c0, acc0);
/* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */
acc1 = __SMLALDX(x1, c0, acc1);
/* Read x[2], x[3] */
x2 = *__SIMD32(px);
/* Read x[3], x[4] */
x3 = _SIMD32_OFFSET(px+1);
/* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */
acc2 = __SMLALDX(x2, c0, acc2);
/* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */
acc3 = __SMLALDX(x3, c0, acc3);
/* Read y[srcBLen - 3] and y[srcBLen - 4] */
c0 = *__SIMD32(py)--;
/* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */
acc0 = __SMLALDX(x2, c0, acc0);
/* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */
acc1 = __SMLALDX(x3, c0, acc1);
/* Read x[4], x[5] */
x0 = _SIMD32_OFFSET(px+2);
/* Read x[5], x[6] */
x1 = _SIMD32_OFFSET(px+3);
px += 4U;
/* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */
acc2 = __SMLALDX(x0, c0, acc2);
/* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */
acc3 = __SMLALDX(x1, c0, acc3);
} while (--k);
/* For the next MAC operations, SIMD is not used
* So, the 16 bit pointer if inputB, py is updated */
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
if (k == 1U)
{
/* Read y[srcBLen - 5] */
c0 = *(py+1);
#ifdef ARM_MATH_BIG_ENDIAN
c0 = c0 << 16U;
#else
c0 = c0 & 0x0000FFFF;
#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
/* Read x[7] */
x3 = *__SIMD32(px);
px++;
/* Perform the multiply-accumulates */
acc0 = __SMLALD(x0, c0, acc0);
acc1 = __SMLALD(x1, c0, acc1);
acc2 = __SMLALDX(x1, c0, acc2);
acc3 = __SMLALDX(x3, c0, acc3);
}
if (k == 2U)
{
/* Read y[srcBLen - 5], y[srcBLen - 6] */
c0 = _SIMD32_OFFSET(py);
/* Read x[7], x[8] */
x3 = *__SIMD32(px);
/* Read x[9] */
x2 = _SIMD32_OFFSET(px+1);
px += 2U;
/* Perform the multiply-accumulates */
acc0 = __SMLALDX(x0, c0, acc0);
acc1 = __SMLALDX(x1, c0, acc1);
acc2 = __SMLALDX(x3, c0, acc2);
acc3 = __SMLALDX(x2, c0, acc3);
}
if (k == 3U)
{
/* Read y[srcBLen - 5], y[srcBLen - 6] */
c0 = _SIMD32_OFFSET(py);
/* Read x[7], x[8] */
x3 = *__SIMD32(px);
/* Read x[9] */
x2 = _SIMD32_OFFSET(px+1);
/* Perform the multiply-accumulates */
acc0 = __SMLALDX(x0, c0, acc0);
acc1 = __SMLALDX(x1, c0, acc1);
acc2 = __SMLALDX(x3, c0, acc2);
acc3 = __SMLALDX(x2, c0, acc3);
c0 = *(py-1);
#ifdef ARM_MATH_BIG_ENDIAN
c0 = c0 << 16U;
#else
c0 = c0 & 0x0000FFFF;
#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
/* Read x[10] */
x3 = _SIMD32_OFFSET(px+2);
px += 3U;
/* Perform the multiply-accumulates */
acc0 = __SMLALDX(x1, c0, acc0);
acc1 = __SMLALD(x2, c0, acc1);
acc2 = __SMLALDX(x2, c0, acc2);
acc3 = __SMLALDX(x3, c0, acc3);
}
/* Store the results in the accumulators in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pOut)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += (q63_t) ((q31_t) * px++ * *py--);
sum += (q63_t) ((q31_t) * px++ * *py--);
sum += (q63_t) ((q31_t) * px++ * *py--);
sum += (q63_t) ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += (q63_t) ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT(sum >> 15, 16));
/* Increment the pointer pIn1 index, count by 1 */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) ((q31_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT(sum >> 15, 16));
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The blockSize3 variable holds the number of MAC operations performed */
blockSize3 = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
pIn2 = pSrc2 - 1U;
py = pIn2;
/* -------------------
* Stage3 process
* ------------------*/
/* For loop unrolling by 4, this stage is divided into two. */
/* First part of this stage computes the MAC operations greater than 4 */
/* Second part of this stage computes the MAC operations less than or equal to 4 */
/* The first part of the stage starts here */
j = blockSize3 >> 2U;
while ((j > 0U) && (blockSize3 > 0U))
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = blockSize3 >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[srcALen - srcBLen + 1], x[srcALen - srcBLen + 2] are multiplied
* with y[srcBLen - 1], y[srcBLen - 2] respectively */
sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
/* x[srcALen - srcBLen + 3], x[srcALen - srcBLen + 4] are multiplied
* with y[srcBLen - 3], y[srcBLen - 4] respectively */
sum = __SMLALDX(*__SIMD32(px)++, *__SIMD32(py)--, sum);
/* Decrement the loop counter */
k--;
}
/* For the next MAC operations, the pointer py is used without SIMD
* So, py is incremented by 1 */
py = py + 1U;
/* If the blockSize3 is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = blockSize3 % 0x4U;
while (k > 0U)
{
/* sum += x[srcALen - srcBLen + 5] * y[srcBLen - 5] */
sum = __SMLALD(*px++, *py--, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pIn2;
/* Decrement the loop counter */
blockSize3--;
j--;
}
/* The second part of the stage starts here */
/* SIMD is not used for the next MAC operations,
* so pointer py is updated to read only one sample at a time */
py = py + 1U;
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = blockSize3;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen-1] * y[srcBLen-1] */
sum = __SMLALD(*px++, *py--, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the loop counter */
blockSize3--;
}
#else
/* Run the below code for Cortex-M0 */
q15_t *pIn1 = pSrcA; /* input pointer */
q15_t *pIn2 = pSrcB; /* coefficient pointer */
q63_t sum; /* Accumulator */
uint32_t i, j; /* loop counter */
/* Loop to calculate output of convolution for output length number of times */
for (i = 0; i < (srcALen + srcBLen - 1); i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0; j <= i; j++)
{
/* Check the array limitations */
if (((i - j) < srcBLen) && (j < srcALen))
{
/* z[i] += x[i-j] * y[j] */
sum += (q31_t) pIn1[j] * (pIn2[i - j]);
}
}
/* Store the output in the destination buffer */
pDst[i] = (q15_t) __SSAT((sum >> 15U), 16U);
}
#endif /* #if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) */
}
/**
* @} end of Conv group
*/

View File

@@ -1,553 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_q31.c
* Description: Convolution of Q31 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Conv
* @{
*/
/**
* @brief Convolution of Q31 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* There is no saturation on intermediate additions.
* Thus, if the accumulator overflows it wraps around and distorts the result.
* The input signals should be scaled down to avoid intermediate overflows.
* Scale down the inputs by log2(min(srcALen, srcBLen)) (log2 is read as log to the base 2) times to avoid overflows,
* as maximum of min(srcALen, srcBLen) number of additions are carried internally.
* The 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result.
*
* \par
* See <code>arm_conv_fast_q31()</code> for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4.
*/
void arm_conv_q31(
q31_t * pSrcA,
uint32_t srcALen,
q31_t * pSrcB,
uint32_t srcBLen,
q31_t * pDst)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q31_t *pIn1; /* inputA pointer */
q31_t *pIn2; /* inputB pointer */
q31_t *pOut = pDst; /* output pointer */
q31_t *px; /* Intermediate inputA pointer */
q31_t *py; /* Intermediate inputB pointer */
q31_t *pSrc1, *pSrc2; /* Intermediate pointers */
q63_t sum; /* Accumulator */
q63_t acc0, acc1, acc2; /* Accumulator */
q31_t x0, x1, x2, c0; /* Temporary variables to hold state and coefficient values */
uint32_t j, k, count, blkCnt, blockSize1, blockSize2, blockSize3; /* loop counter */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = (q31_t *) pSrcB;
/* Initialization of inputB pointer */
pIn2 = (q31_t *) pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* The algorithm is implemented in three stages.
The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
blockSize3 = blockSize1;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 1] */
sum += (q63_t) * px++ * (*py--);
/* x[1] * y[srcBLen - 2] */
sum += (q63_t) * px++ * (*py--);
/* x[2] * y[srcBLen - 3] */
sum += (q63_t) * px++ * (*py--);
/* x[3] * y[srcBLen - 4] */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (sum >> 31);
/* Update the inputA and inputB pointers for next MAC calculation */
py = pIn2 + count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll by 3 */
blkCnt = blockSize2 / 3;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
/* Apply loop unrolling and compute 3 MACs simultaneously. */
k = srcBLen / 3;
/* First part of the processing with loop unrolling. Compute 3 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 2 samples. */
do
{
/* Read y[srcBLen - 1] sample */
c0 = *(py);
/* Read x[3] sample */
x2 = *(px);
/* Perform the multiply-accumulates */
/* acc0 += x[0] * y[srcBLen - 1] */
acc0 += ((q63_t) x0 * c0);
/* acc1 += x[1] * y[srcBLen - 1] */
acc1 += ((q63_t) x1 * c0);
/* acc2 += x[2] * y[srcBLen - 1] */
acc2 += ((q63_t) x2 * c0);
/* Read y[srcBLen - 2] sample */
c0 = *(py - 1U);
/* Read x[4] sample */
x0 = *(px + 1U);
/* Perform the multiply-accumulate */
/* acc0 += x[1] * y[srcBLen - 2] */
acc0 += ((q63_t) x1 * c0);
/* acc1 += x[2] * y[srcBLen - 2] */
acc1 += ((q63_t) x2 * c0);
/* acc2 += x[3] * y[srcBLen - 2] */
acc2 += ((q63_t) x0 * c0);
/* Read y[srcBLen - 3] sample */
c0 = *(py - 2U);
/* Read x[5] sample */
x1 = *(px + 2U);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[srcBLen - 3] */
acc0 += ((q63_t) x2 * c0);
/* acc1 += x[3] * y[srcBLen - 2] */
acc1 += ((q63_t) x0 * c0);
/* acc2 += x[4] * y[srcBLen - 2] */
acc2 += ((q63_t) x1 * c0);
/* update scratch pointers */
px += 3U;
py -= 3U;
} while (--k);
/* If the srcBLen is not a multiple of 3, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen - (3 * (srcBLen / 3));
while (k > 0U)
{
/* Read y[srcBLen - 5] sample */
c0 = *(py--);
/* Read x[7] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[srcBLen - 5] */
acc0 += ((q63_t) x0 * c0);
/* acc1 += x[5] * y[srcBLen - 5] */
acc1 += ((q63_t) x1 * c0);
/* acc2 += x[6] * y[srcBLen - 5] */
acc2 += ((q63_t) x2 * c0);
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
/* Decrement the loop counter */
k--;
}
/* Store the results in the accumulators in the destination buffer. */
*pOut++ = (q31_t) (acc0 >> 31);
*pOut++ = (q31_t) (acc1 >> 31);
*pOut++ = (q31_t) (acc2 >> 31);
/* Increment the pointer pIn1 index, count by 3 */
count += 3U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 3, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 - 3 * (blockSize2 / 3);
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (sum >> 31);
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (sum >> 31);
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The blockSize3 variable holds the number of MAC operations performed */
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = blockSize3 >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */
sum += (q63_t) * px++ * (*py--);
/* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */
sum += (q63_t) * px++ * (*py--);
/* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */
sum += (q63_t) * px++ * (*py--);
/* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* If the blockSize3 is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = blockSize3 % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q31_t) (sum >> 31);
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the loop counter */
blockSize3--;
}
#else
/* Run the below code for Cortex-M0 */
q31_t *pIn1 = pSrcA; /* input pointer */
q31_t *pIn2 = pSrcB; /* coefficient pointer */
q63_t sum; /* Accumulator */
uint32_t i, j; /* loop counter */
/* Loop to calculate output of convolution for output length number of times */
for (i = 0; i < (srcALen + srcBLen - 1); i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0; j <= i; j++)
{
/* Check the array limitations */
if (((i - j) < srcBLen) && (j < srcALen))
{
/* z[i] += x[i-j] * y[j] */
sum += ((q63_t) pIn1[j] * (pIn2[i - j]));
}
}
/* Store the output in the destination buffer */
pDst[i] = (q31_t) (sum >> 31U);
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of Conv group
*/

View File

@@ -1,678 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_conv_q7.c
* Description: Convolution of Q7 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Conv
* @{
*/
/**
* @brief Convolution of Q7 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length srcALen+srcBLen-1.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using a 32-bit internal accumulator.
* Both the inputs are represented in 1.7 format and multiplications yield a 2.14 result.
* The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format.
* This approach provides 17 guard bits and there is no risk of overflow as long as <code>max(srcALen, srcBLen)<131072</code>.
* The 18.14 result is then truncated to 18.7 format by discarding the low 7 bits and then saturated to 1.7 format.
*
* \par
* Refer the function <code>arm_conv_opt_q7()</code> for a faster implementation of this function.
*
*/
void arm_conv_q7(
q7_t * pSrcA,
uint32_t srcALen,
q7_t * pSrcB,
uint32_t srcBLen,
q7_t * pDst)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q7_t *pIn1; /* inputA pointer */
q7_t *pIn2; /* inputB pointer */
q7_t *pOut = pDst; /* output pointer */
q7_t *px; /* Intermediate inputA pointer */
q7_t *py; /* Intermediate inputB pointer */
q7_t *pSrc1, *pSrc2; /* Intermediate pointers */
q7_t x0, x1, x2, x3, c0, c1; /* Temporary variables to hold state and coefficient values */
q31_t sum, acc0, acc1, acc2, acc3; /* Accumulator */
q31_t input1, input2; /* Temporary input variables */
q15_t in1, in2; /* Temporary input variables */
uint32_t j, k, count, blkCnt, blockSize1, blockSize2, blockSize3; /* loop counter */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
}
/* conv(x,y) at n = x[n] * y[0] + x[n-1] * y[1] + x[n-2] * y[2] + ...+ x[n-N+1] * y[N -1] */
/* The function is internally
* divided into three stages according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first stage of the
* algorithm, the multiplications increase by one for every iteration.
* In the second stage of the algorithm, srcBLen number of multiplications are done.
* In the third stage of the algorithm, the multiplications decrease by one
* for every iteration. */
/* The algorithm is implemented in three stages.
The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = (srcALen - srcBLen) + 1U;
blockSize3 = blockSize1;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[0]
* sum = x[0] * y[1] + x[1] * y[0]
* ....
* sum = x[0] * y[srcBlen - 1] + x[1] * y[srcBlen - 2] +...+ x[srcBLen - 1] * y[0]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] , x[1] */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* y[srcBLen - 1] , y[srcBLen - 2] */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* x[0] * y[srcBLen - 1] */
/* x[1] * y[srcBLen - 2] */
sum = __SMLAD(input1, input2, sum);
/* x[2] , x[3] */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* y[srcBLen - 3] , y[srcBLen - 4] */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* x[2] * y[srcBLen - 3] */
/* x[3] * y[srcBLen - 4] */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q15_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(sum >> 7U, 8));
/* Update the inputA and inputB pointers for next MAC calculation */
py = pIn2 + count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[srcBLen-1] + x[1] * y[srcBLen-2] +...+ x[srcBLen-1] * y[0]
* sum = x[1] * y[srcBLen-1] + x[2] * y[srcBLen-2] +...+ x[srcBLen] * y[0]
* ....
* sum = x[srcALen-srcBLen-2] * y[srcBLen-1] + x[srcALen] * y[srcBLen-2] +...+ x[srcALen-1] * y[0]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[srcBLen - 1] sample */
c0 = *(py--);
/* Read y[srcBLen - 2] sample */
c1 = *(py--);
/* Read x[3] sample */
x3 = *(px++);
/* x[0] and x[1] are packed */
in1 = (q15_t) x0;
in2 = (q15_t) x1;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* y[srcBLen - 1] and y[srcBLen - 2] are packed */
in1 = (q15_t) c0;
in2 = (q15_t) c1;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* acc0 += x[0] * y[srcBLen - 1] + x[1] * y[srcBLen - 2] */
acc0 = __SMLAD(input1, input2, acc0);
/* x[1] and x[2] are packed */
in1 = (q15_t) x1;
in2 = (q15_t) x2;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* acc1 += x[1] * y[srcBLen - 1] + x[2] * y[srcBLen - 2] */
acc1 = __SMLAD(input1, input2, acc1);
/* x[2] and x[3] are packed */
in1 = (q15_t) x2;
in2 = (q15_t) x3;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* acc2 += x[2] * y[srcBLen - 1] + x[3] * y[srcBLen - 2] */
acc2 = __SMLAD(input1, input2, acc2);
/* Read x[4] sample */
x0 = *(px++);
/* x[3] and x[4] are packed */
in1 = (q15_t) x3;
in2 = (q15_t) x0;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* acc3 += x[3] * y[srcBLen - 1] + x[4] * y[srcBLen - 2] */
acc3 = __SMLAD(input1, input2, acc3);
/* Read y[srcBLen - 3] sample */
c0 = *(py--);
/* Read y[srcBLen - 4] sample */
c1 = *(py--);
/* Read x[5] sample */
x1 = *(px++);
/* x[2] and x[3] are packed */
in1 = (q15_t) x2;
in2 = (q15_t) x3;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* y[srcBLen - 3] and y[srcBLen - 4] are packed */
in1 = (q15_t) c0;
in2 = (q15_t) c1;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* acc0 += x[2] * y[srcBLen - 3] + x[3] * y[srcBLen - 4] */
acc0 = __SMLAD(input1, input2, acc0);
/* x[3] and x[4] are packed */
in1 = (q15_t) x3;
in2 = (q15_t) x0;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* acc1 += x[3] * y[srcBLen - 3] + x[4] * y[srcBLen - 4] */
acc1 = __SMLAD(input1, input2, acc1);
/* x[4] and x[5] are packed */
in1 = (q15_t) x0;
in2 = (q15_t) x1;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* acc2 += x[4] * y[srcBLen - 3] + x[5] * y[srcBLen - 4] */
acc2 = __SMLAD(input1, input2, acc2);
/* Read x[6] sample */
x2 = *(px++);
/* x[5] and x[6] are packed */
in1 = (q15_t) x1;
in2 = (q15_t) x2;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* acc3 += x[5] * y[srcBLen - 3] + x[6] * y[srcBLen - 4] */
acc3 = __SMLAD(input1, input2, acc3);
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[srcBLen - 5] sample */
c0 = *(py--);
/* Read x[7] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[srcBLen - 5] */
acc0 += ((q15_t) x0 * c0);
/* acc1 += x[5] * y[srcBLen - 5] */
acc1 += ((q15_t) x1 * c0);
/* acc2 += x[6] * y[srcBLen - 5] */
acc2 += ((q15_t) x2 * c0);
/* acc3 += x[7] * y[srcBLen - 5] */
acc3 += ((q15_t) x3 * c0);
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(acc0 >> 7U, 8));
*pOut++ = (q7_t) (__SSAT(acc1 >> 7U, 8));
*pOut++ = (q7_t) (__SSAT(acc2 >> 7U, 8));
*pOut++ = (q7_t) (__SSAT(acc3 >> 7U, 8));
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Reading two inputs of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* Reading two inputs of SrcB buffer and packing */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* Perform the multiply-accumulates */
sum = __SMLAD(input1, input2, sum);
/* Reading two inputs of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* Reading two inputs of SrcB buffer and packing */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* Perform the multiply-accumulates */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q15_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(sum >> 7U, 8));
/* Increment the pointer pIn1 index, count by 1 */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* srcBLen number of MACS should be performed */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += ((q15_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(sum >> 7U, 8));
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pSrc2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[srcBLen-1] + x[srcALen-srcBLen+2] * y[srcBLen-2] +...+ x[srcALen-1] * y[1]
* sum += x[srcALen-srcBLen+2] * y[srcBLen-1] + x[srcALen-srcBLen+3] * y[srcBLen-2] +...+ x[srcALen-1] * y[2]
* ....
* sum += x[srcALen-2] * y[srcBLen-1] + x[srcALen-1] * y[srcBLen-2]
* sum += x[srcALen-1] * y[srcBLen-1]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The blockSize3 variable holds the number of MAC operations performed */
/* Working pointer of inputA */
pSrc1 = pIn1 + (srcALen - (srcBLen - 1U));
px = pSrc1;
/* Working pointer of inputB */
pSrc2 = pIn2 + (srcBLen - 1U);
py = pSrc2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = blockSize3 >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Reading two inputs, x[srcALen - srcBLen + 1] and x[srcALen - srcBLen + 2] of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* Reading two inputs, y[srcBLen - 1] and y[srcBLen - 2] of SrcB buffer and packing */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* sum += x[srcALen - srcBLen + 1] * y[srcBLen - 1] */
/* sum += x[srcALen - srcBLen + 2] * y[srcBLen - 2] */
sum = __SMLAD(input1, input2, sum);
/* Reading two inputs, x[srcALen - srcBLen + 3] and x[srcALen - srcBLen + 4] of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* Reading two inputs, y[srcBLen - 3] and y[srcBLen - 4] of SrcB buffer and packing */
in1 = (q15_t) * py--;
in2 = (q15_t) * py--;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16U);
/* sum += x[srcALen - srcBLen + 3] * y[srcBLen - 3] */
/* sum += x[srcALen - srcBLen + 4] * y[srcBLen - 4] */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the blockSize3 is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = blockSize3 % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q15_t) * px++ * *py--);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut++ = (q7_t) (__SSAT(sum >> 7U, 8));
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pSrc2;
/* Decrement the loop counter */
blockSize3--;
}
#else
/* Run the below code for Cortex-M0 */
q7_t *pIn1 = pSrcA; /* input pointer */
q7_t *pIn2 = pSrcB; /* coefficient pointer */
q31_t sum; /* Accumulator */
uint32_t i, j; /* loop counter */
/* Loop to calculate output of convolution for output length number of times */
for (i = 0; i < (srcALen + srcBLen - 1); i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0; j <= i; j++)
{
/* Check the array limitations */
if (((i - j) < srcBLen) && (j < srcALen))
{
/* z[i] += x[i-j] * y[j] */
sum += (q15_t) pIn1[j] * (pIn2[i - j]);
}
}
/* Store the output in the destination buffer */
pDst[i] = (q7_t) __SSAT((sum >> 7U), 8U);
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of Conv group
*/

View File

@@ -1,727 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_correlate_f32.c
* Description: Correlation of floating-point sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup Corr Correlation
*
* Correlation is a mathematical operation that is similar to convolution.
* As with convolution, correlation uses two signals to produce a third signal.
* The underlying algorithms in correlation and convolution are identical except that one of the inputs is flipped in convolution.
* Correlation is commonly used to measure the similarity between two signals.
* It has applications in pattern recognition, cryptanalysis, and searching.
* The CMSIS library provides correlation functions for Q7, Q15, Q31 and floating-point data types.
* Fast versions of the Q15 and Q31 functions are also provided.
*
* \par Algorithm
* Let <code>a[n]</code> and <code>b[n]</code> be sequences of length <code>srcALen</code> and <code>srcBLen</code> samples respectively.
* The convolution of the two signals is denoted by
* <pre>
* c[n] = a[n] * b[n]
* </pre>
* In correlation, one of the signals is flipped in time
* <pre>
* c[n] = a[n] * b[-n]
* </pre>
*
* \par
* and this is mathematically defined as
* \image html CorrelateEquation.gif
* \par
* The <code>pSrcA</code> points to the first input vector of length <code>srcALen</code> and <code>pSrcB</code> points to the second input vector of length <code>srcBLen</code>.
* The result <code>c[n]</code> is of length <code>2 * max(srcALen, srcBLen) - 1</code> and is defined over the interval <code>n=0, 1, 2, ..., (2 * max(srcALen, srcBLen) - 2)</code>.
* The output result is written to <code>pDst</code> and the calling function must allocate <code>2 * max(srcALen, srcBLen) - 1</code> words for the result.
*
* <b>Note</b>
* \par
* The <code>pDst</code> should be initialized to all zeros before being used.
*
* <b>Fixed-Point Behavior</b>
* \par
* Correlation requires summing up a large number of intermediate products.
* As such, the Q7, Q15, and Q31 functions run a risk of overflow and saturation.
* Refer to the function specific documentation below for further details of the particular algorithm used.
*
*
* <b>Fast Versions</b>
*
* \par
* Fast versions are supported for Q31 and Q15. Cycles for Fast versions are less compared to Q31 and Q15 of correlate and the design requires
* the input signals should be scaled down to avoid intermediate overflows.
*
*
* <b>Opt Versions</b>
*
* \par
* Opt versions are supported for Q15 and Q7. Design uses internal scratch buffer for getting good optimisation.
* These versions are optimised in cycles and consumes more memory(Scratch memory) compared to Q15 and Q7 versions of correlate
*/
/**
* @addtogroup Corr
* @{
*/
/**
* @brief Correlation of floating-point sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1.
* @return none.
*/
void arm_correlate_f32(
float32_t * pSrcA,
uint32_t srcALen,
float32_t * pSrcB,
uint32_t srcBLen,
float32_t * pDst)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
float32_t *pIn1; /* inputA pointer */
float32_t *pIn2; /* inputB pointer */
float32_t *pOut = pDst; /* output pointer */
float32_t *px; /* Intermediate inputA pointer */
float32_t *py; /* Intermediate inputB pointer */
float32_t *pSrc1; /* Intermediate pointers */
float32_t sum, acc0, acc1, acc2, acc3; /* Accumulators */
float32_t x0, x1, x2, x3, c0; /* temporary variables for holding input and coefficient values */
uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counters */
int32_t inc = 1; /* Destination address modifier */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and the destination pointer modifier, inc is set to -1 */
/* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */
/* But to improve the performance,
* we assume zeroes in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen,
* (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */
/* If srcALen < srcBLen,
* (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = pSrcA;
/* Initialization of inputB pointer */
pIn2 = pSrcB;
/* Number of output samples is calculated */
outBlockSize = (2U * srcALen) - 1U;
/* When srcALen > srcBLen, zero padding has to be done to srcB
* to make their lengths equal.
* Instead, (outBlockSize - (srcALen + srcBLen - 1))
* number of output samples are made zero */
j = outBlockSize - (srcALen + (srcBLen - 1U));
/* Updating the pointer position to non zero value */
pOut += j;
//while (j > 0U)
//{
// /* Zero is stored in the destination buffer */
// *pOut++ = 0.0f;
// /* Decrement the loop counter */
// j--;
//}
}
else
{
/* Initialization of inputA pointer */
pIn1 = pSrcB;
/* Initialization of inputB pointer */
pIn2 = pSrcA;
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
/* CORR(x, y) = Reverse order(CORR(y, x)) */
/* Hence set the destination pointer to point to the last output sample */
pOut = pDst + ((srcALen + srcBLen) - 2U);
/* Destination address modifier is set to -1 */
inc = -1;
}
/* The function is internally
* divided into three parts according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first part of the
* algorithm, the multiplications increase by one for every iteration.
* In the second part of the algorithm, srcBLen number of multiplications are done.
* In the third part of the algorithm, the multiplications decrease by one
* for every iteration.*/
/* The algorithm is implemented in three stages.
* The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
blockSize3 = blockSize1;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[srcBlen - 1]
* sum = x[0] * y[srcBlen-2] + x[1] * y[srcBlen - 1]
* ....
* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc1 = pIn2 + (srcBLen - 1U);
py = pSrc1;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 4] */
sum += *px++ * *py++;
/* x[1] * y[srcBLen - 3] */
sum += *px++ * *py++;
/* x[2] * y[srcBLen - 2] */
sum += *px++ * *py++;
/* x[3] * y[srcBLen - 1] */
sum += *px++ * *py++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
/* x[0] * y[srcBLen - 1] */
sum += *px++ * *py++;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = sum;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
py = pSrc1 - count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1]
* sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1]
* ....
* sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4, to loop unroll the srcBLen loop */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0.0f;
acc1 = 0.0f;
acc2 = 0.0f;
acc3 = 0.0f;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[0] sample */
c0 = *(py++);
/* Read x[3] sample */
x3 = *(px++);
/* Perform the multiply-accumulate */
/* acc0 += x[0] * y[0] */
acc0 += x0 * c0;
/* acc1 += x[1] * y[0] */
acc1 += x1 * c0;
/* acc2 += x[2] * y[0] */
acc2 += x2 * c0;
/* acc3 += x[3] * y[0] */
acc3 += x3 * c0;
/* Read y[1] sample */
c0 = *(py++);
/* Read x[4] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
/* acc0 += x[1] * y[1] */
acc0 += x1 * c0;
/* acc1 += x[2] * y[1] */
acc1 += x2 * c0;
/* acc2 += x[3] * y[1] */
acc2 += x3 * c0;
/* acc3 += x[4] * y[1] */
acc3 += x0 * c0;
/* Read y[2] sample */
c0 = *(py++);
/* Read x[5] sample */
x1 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[2] */
acc0 += x2 * c0;
/* acc1 += x[3] * y[2] */
acc1 += x3 * c0;
/* acc2 += x[4] * y[2] */
acc2 += x0 * c0;
/* acc3 += x[5] * y[2] */
acc3 += x1 * c0;
/* Read y[3] sample */
c0 = *(py++);
/* Read x[6] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[3] * y[3] */
acc0 += x3 * c0;
/* acc1 += x[4] * y[3] */
acc1 += x0 * c0;
/* acc2 += x[5] * y[3] */
acc2 += x1 * c0;
/* acc3 += x[6] * y[3] */
acc3 += x2 * c0;
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[4] sample */
c0 = *(py++);
/* Read x[7] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[4] */
acc0 += x0 * c0;
/* acc1 += x[5] * y[4] */
acc1 += x1 * c0;
/* acc2 += x[6] * y[4] */
acc2 += x2 * c0;
/* acc3 += x[7] * y[4] */
acc3 += x3 * c0;
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = acc0;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
*pOut = acc1;
pOut += inc;
*pOut = acc2;
pOut += inc;
*pOut = acc3;
pOut += inc;
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += *px++ * *py++;
sum += *px++ * *py++;
sum += *px++ * *py++;
sum += *px++ * *py++;
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += *px++ * *py++;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = sum;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the pointer pIn1 index, count by 1 */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Loop over srcBLen */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += *px++ * *py++;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = sum;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the pointer pIn1 index, count by 1 */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* ....
* sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1]
* sum += x[srcALen-1] * y[0]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = pIn1 + (srcALen - (srcBLen - 1U));
px = pSrc1;
/* Working pointer of inputB */
py = pIn2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0.0f;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen - srcBLen + 4] * y[3] */
sum += *px++ * *py++;
/* sum += x[srcALen - srcBLen + 3] * y[2] */
sum += *px++ * *py++;
/* sum += x[srcALen - srcBLen + 2] * y[1] */
sum += *px++ * *py++;
/* sum += x[srcALen - srcBLen + 1] * y[0] */
sum += *px++ * *py++;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += *px++ * *py++;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = sum;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pIn2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
#else
/* Run the below code for Cortex-M0 */
float32_t *pIn1 = pSrcA; /* inputA pointer */
float32_t *pIn2 = pSrcB + (srcBLen - 1U); /* inputB pointer */
float32_t sum; /* Accumulator */
uint32_t i = 0U, j; /* loop counters */
uint32_t inv = 0U; /* Reverse order flag */
uint32_t tot = 0U; /* Length */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and a varaible, inv is set to 1 */
/* If lengths are not equal then zero pad has to be done to make the two
* inputs of same length. But to improve the performance, we assume zeroes
* in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen, (srcALen - srcBLen) zeroes has to included in the
* starting of the output buffer */
/* If srcALen < srcBLen, (srcALen - srcBLen) zeroes has to included in the
* ending of the output buffer */
/* Once the zero padding is done the remaining of the output is calcualted
* using convolution but with the shorter signal time shifted. */
/* Calculate the length of the remaining sequence */
tot = ((srcALen + srcBLen) - 2U);
if (srcALen > srcBLen)
{
/* Calculating the number of zeros to be padded to the output */
j = srcALen - srcBLen;
/* Initialise the pointer after zero padding */
pDst += j;
}
else if (srcALen < srcBLen)
{
/* Initialization to inputB pointer */
pIn1 = pSrcB;
/* Initialization to the end of inputA pointer */
pIn2 = pSrcA + (srcALen - 1U);
/* Initialisation of the pointer after zero padding */
pDst = pDst + tot;
/* Swapping the lengths */
j = srcALen;
srcALen = srcBLen;
srcBLen = j;
/* Setting the reverse flag */
inv = 1;
}
/* Loop to calculate convolution for output length number of times */
for (i = 0U; i <= tot; i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0.0f;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0U; j <= i; j++)
{
/* Check the array limitations */
if ((((i - j) < srcBLen) && (j < srcALen)))
{
/* z[i] += x[i-j] * y[j] */
sum += pIn1[j] * pIn2[-((int32_t) i - j)];
}
}
/* Store the output in the destination buffer */
if (inv == 1)
*pDst-- = sum;
else
*pDst++ = sum;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of Corr group
*/

View File

@@ -1,500 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_correlate_fast_opt_q15.c
* Description: Fast Q15 Correlation
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Corr
* @{
*/
/**
* @brief Correlation of Q15 sequences (fast version) for Cortex-M3 and Cortex-M4.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1.
* @param[in] *pScratch points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @return none.
*
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, scratch buffers should be aligned by 32-bit
*
*
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* This fast version uses a 32-bit accumulator with 2.30 format.
* The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* There is no saturation on intermediate additions.
* Thus, if the accumulator overflows it wraps around and distorts the result.
* The input signals should be scaled down to avoid intermediate overflows.
* Scale down one of the inputs by 1/min(srcALen, srcBLen) to avoid overflow since a
* maximum of min(srcALen, srcBLen) number of additions is carried internally.
* The 2.30 accumulator is right shifted by 15 bits and then saturated to 1.15 format to yield the final result.
*
* \par
* See <code>arm_correlate_q15()</code> for a slower implementation of this function which uses a 64-bit accumulator to avoid wrap around distortion.
*/
void arm_correlate_fast_opt_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
q15_t * pScratch)
{
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q31_t acc0, acc1, acc2, acc3; /* Accumulators */
q15_t *py; /* Intermediate inputB pointer */
q31_t x1, x2, x3; /* temporary variables for holding input and coefficient values */
uint32_t j, blkCnt, outBlockSize; /* loop counter */
int32_t inc = 1; /* Destination address modifier */
uint32_t tapCnt;
q31_t y1, y2;
q15_t *pScr; /* Intermediate pointers */
q15_t *pOut = pDst; /* output pointer */
#ifdef UNALIGNED_SUPPORT_DISABLE
q15_t a, b;
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and the destination pointer modifier, inc is set to -1 */
/* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */
/* But to improve the performance,
* we include zeroes in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen,
* (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */
/* If srcALen < srcBLen,
* (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = (pSrcA);
/* Initialization of inputB pointer */
pIn2 = (pSrcB);
/* Number of output samples is calculated */
outBlockSize = (2U * srcALen) - 1U;
/* When srcALen > srcBLen, zero padding is done to srcB
* to make their lengths equal.
* Instead, (outBlockSize - (srcALen + srcBLen - 1))
* number of output samples are made zero */
j = outBlockSize - (srcALen + (srcBLen - 1U));
/* Updating the pointer position to non zero value */
pOut += j;
}
else
{
/* Initialization of inputA pointer */
pIn1 = (pSrcB);
/* Initialization of inputB pointer */
pIn2 = (pSrcA);
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
/* CORR(x, y) = Reverse order(CORR(y, x)) */
/* Hence set the destination pointer to point to the last output sample */
pOut = pDst + ((srcALen + srcBLen) - 2U);
/* Destination address modifier is set to -1 */
inc = -1;
}
pScr = pScratch;
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr += (srcBLen - 1U);
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Copy (srcALen) samples in scratch buffer */
arm_copy_q15(pIn1, pScr, srcALen);
/* Update pointers */
pScr += srcALen;
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
j = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (j > 0U)
{
/* copy second buffer in reversal manner */
*pScr++ = *pIn1++;
*pScr++ = *pIn1++;
*pScr++ = *pIn1++;
*pScr++ = *pIn1++;
/* Decrement the loop counter */
j--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
j = srcALen % 0x4U;
while (j > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr++ = *pIn1++;
/* Decrement the loop counter */
j--;
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr, (srcBLen - 1U));
/* Update pointer */
pScr += (srcBLen - 1U);
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
j = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (j > 0U)
{
/* copy second buffer in reversal manner */
*pScr++ = 0;
*pScr++ = 0;
*pScr++ = 0;
*pScr++ = 0;
/* Decrement the loop counter */
j--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
j = (srcBLen - 1U) % 0x4U;
while (j > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr++ = 0;
/* Decrement the loop counter */
j--;
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Temporary pointer for scratch2 */
py = pIn2;
/* Actual correlation process starts here */
blkCnt = (srcALen + srcBLen - 1U) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr = pScratch;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read four samples from scratch1 buffer */
x1 = *__SIMD32(pScr)++;
/* Read next four samples from scratch1 buffer */
x2 = *__SIMD32(pScr)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pIn2);
y2 = _SIMD32_OFFSET(pIn2 + 2U);
acc0 = __SMLAD(x1, y1, acc0);
acc2 = __SMLAD(x2, y1, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc1 = __SMLADX(x3, y1, acc1);
x1 = _SIMD32_OFFSET(pScr);
acc0 = __SMLAD(x2, y2, acc0);
acc2 = __SMLAD(x1, y2, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
acc1 = __SMLADX(x3, y2, acc1);
x2 = _SIMD32_OFFSET(pScr + 2U);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLADX(x3, y2, acc3);
#else
/* Read four samples from smaller buffer */
a = *pIn2;
b = *(pIn2 + 1);
#ifndef ARM_MATH_BIG_ENDIAN
y1 = __PKHBT(a, b, 16);
#else
y1 = __PKHBT(b, a, 16);
#endif
a = *(pIn2 + 2);
b = *(pIn2 + 3);
#ifndef ARM_MATH_BIG_ENDIAN
y2 = __PKHBT(a, b, 16);
#else
y2 = __PKHBT(b, a, 16);
#endif
acc0 = __SMLAD(x1, y1, acc0);
acc2 = __SMLAD(x2, y1, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc1 = __SMLADX(x3, y1, acc1);
a = *pScr;
b = *(pScr + 1);
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(a, b, 16);
#else
x1 = __PKHBT(b, a, 16);
#endif
acc0 = __SMLAD(x2, y2, acc0);
acc2 = __SMLAD(x1, y2, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
acc1 = __SMLADX(x3, y2, acc1);
a = *(pScr + 2);
b = *(pScr + 3);
#ifndef ARM_MATH_BIG_ENDIAN
x2 = __PKHBT(a, b, 16);
#else
x2 = __PKHBT(b, a, 16);
#endif
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLADX(x3, y2, acc3);
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
pIn2 += 4U;
pScr += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr++ * *pIn2);
acc1 += (*pScr++ * *pIn2);
acc2 += (*pScr++ * *pIn2);
acc3 += (*pScr++ * *pIn2++);
pScr -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the results in the accumulators in the destination buffer. */
*pOut = (__SSAT(acc0 >> 15U, 16));
pOut += inc;
*pOut = (__SSAT(acc1 >> 15U, 16));
pOut += inc;
*pOut = (__SSAT(acc2 >> 15U, 16));
pOut += inc;
*pOut = (__SSAT(acc3 >> 15U, 16));
pOut += inc;
/* Initialization of inputB pointer */
pIn2 = py;
pScratch += 4U;
}
blkCnt = (srcALen + srcBLen - 1U) & 0x3;
/* Calculate correlation for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr = pScratch;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
acc0 += (*pScr++ * *pIn2++);
acc0 += (*pScr++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q15_t) (__SSAT((acc0 >> 15), 16));
pOut += inc;
/* Initialization of inputB pointer */
pIn2 = py;
pScratch += 1U;
}
}
/**
* @} end of Corr group
*/

View File

@@ -1,600 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_correlate_fast_q31.c
* Description: Fast Q31 Correlation
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Corr
* @{
*/
/**
* @brief Correlation of Q31 sequences (fast version) for Cortex-M3 and Cortex-M4.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* This function is optimized for speed at the expense of fixed-point precision and overflow protection.
* The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format.
* These intermediate results are accumulated in a 32-bit register in 2.30 format.
* Finally, the accumulator is saturated and converted to a 1.31 result.
*
* \par
* The fast version has the same overflow behavior as the standard version but provides less precision since it discards the low 32 bits of each multiplication result.
* In order to avoid overflows completely the input signals must be scaled down.
* The input signals should be scaled down to avoid intermediate overflows.
* Scale down one of the inputs by 1/min(srcALen, srcBLen)to avoid overflows since a
* maximum of min(srcALen, srcBLen) number of additions is carried internally.
*
* \par
* See <code>arm_correlate_q31()</code> for a slower implementation of this function which uses 64-bit accumulation to provide higher precision.
*/
void arm_correlate_fast_q31(
q31_t * pSrcA,
uint32_t srcALen,
q31_t * pSrcB,
uint32_t srcBLen,
q31_t * pDst)
{
q31_t *pIn1; /* inputA pointer */
q31_t *pIn2; /* inputB pointer */
q31_t *pOut = pDst; /* output pointer */
q31_t *px; /* Intermediate inputA pointer */
q31_t *py; /* Intermediate inputB pointer */
q31_t *pSrc1; /* Intermediate pointers */
q31_t sum, acc0, acc1, acc2, acc3; /* Accumulators */
q31_t x0, x1, x2, x3, c0; /* temporary variables for holding input and coefficient values */
uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */
int32_t inc = 1; /* Destination address modifier */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = (pSrcA);
/* Initialization of inputB pointer */
pIn2 = (pSrcB);
/* Number of output samples is calculated */
outBlockSize = (2U * srcALen) - 1U;
/* When srcALen > srcBLen, zero padding is done to srcB
* to make their lengths equal.
* Instead, (outBlockSize - (srcALen + srcBLen - 1))
* number of output samples are made zero */
j = outBlockSize - (srcALen + (srcBLen - 1U));
/* Updating the pointer position to non zero value */
pOut += j;
}
else
{
/* Initialization of inputA pointer */
pIn1 = (pSrcB);
/* Initialization of inputB pointer */
pIn2 = (pSrcA);
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
/* CORR(x, y) = Reverse order(CORR(y, x)) */
/* Hence set the destination pointer to point to the last output sample */
pOut = pDst + ((srcALen + srcBLen) - 2U);
/* Destination address modifier is set to -1 */
inc = -1;
}
/* The function is internally
* divided into three parts according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first part of the
* algorithm, the multiplications increase by one for every iteration.
* In the second part of the algorithm, srcBLen number of multiplications are done.
* In the third part of the algorithm, the multiplications decrease by one
* for every iteration.*/
/* The algorithm is implemented in three stages.
* The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
blockSize3 = blockSize1;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[srcBlen - 1]
* sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1]
* ....
* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc1 = pIn2 + (srcBLen - 1U);
py = pSrc1;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 4] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* x[1] * y[srcBLen - 3] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* x[2] * y[srcBLen - 2] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* x[3] * y[srcBLen - 1] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* x[0] * y[srcBLen - 1] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = sum << 1;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
py = pSrc1 - count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1]
* sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1]
* ....
* sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1], x[2] samples */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[0] sample */
c0 = *(py++);
/* Read x[3] sample */
x3 = *(px++);
/* Perform the multiply-accumulate */
/* acc0 += x[0] * y[0] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc1 += x[1] * y[0] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc2 += x[2] * y[0] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc3 += x[3] * y[0] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32);
/* Read y[1] sample */
c0 = *(py++);
/* Read x[4] sample */
x0 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[1] * y[1] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc1 += x[2] * y[1] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc2 += x[3] * y[1] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc3 += x[4] * y[1] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x0 * c0)) >> 32);
/* Read y[2] sample */
c0 = *(py++);
/* Read x[5] sample */
x1 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[2] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc1 += x[3] * y[2] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc2 += x[4] * y[2] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc3 += x[5] * y[2] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x1 * c0)) >> 32);
/* Read y[3] sample */
c0 = *(py++);
/* Read x[6] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[3] * y[3] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x3 * c0)) >> 32);
/* acc1 += x[4] * y[3] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc2 += x[5] * y[3] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc3 += x[6] * y[3] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x2 * c0)) >> 32);
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[4] sample */
c0 = *(py++);
/* Read x[7] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[4] */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* acc1 += x[5] * y[4] */
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* acc2 += x[6] * y[4] */
acc2 = (q31_t) ((((q63_t) acc2 << 32) + ((q63_t) x2 * c0)) >> 32);
/* acc3 += x[7] * y[4] */
acc3 = (q31_t) ((((q63_t) acc3 << 32) + ((q63_t) x3 * c0)) >> 32);
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q31_t) (acc0 << 1);
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
*pOut = (q31_t) (acc1 << 1);
pOut += inc;
*pOut = (q31_t) (acc2 << 1);
pOut += inc;
*pOut = (q31_t) (acc3 << 1);
pOut += inc;
/* Increment the pointer pIn1 index, count by 4 */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = sum << 1;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Loop over srcBLen */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = sum << 1;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* ....
* sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1]
* sum += x[srcALen-1] * y[0]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = ((pIn1 + srcALen) - srcBLen) + 1U;
px = pSrc1;
/* Working pointer of inputB */
py = pIn2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen - srcBLen + 4] * y[3] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* sum += x[srcALen - srcBLen + 3] * y[2] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* sum += x[srcALen - srcBLen + 2] * y[1] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* sum += x[srcALen - srcBLen + 1] * y[0] */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = (q31_t) ((((q63_t) sum << 32) +
((q63_t) * px++ * (*py++))) >> 32);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = sum << 1;
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pIn2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
}
/**
* @} end of Corr group
*/

View File

@@ -1,501 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_correlate_opt_q15.c
* Description: Correlation of Q15 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Corr
* @{
*/
/**
* @brief Correlation of Q15 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1.
* @param[in] *pScratch points to scratch buffer of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @return none.
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, scratch buffers should be aligned by 32-bit
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both inputs are in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* This approach provides 33 guard bits and there is no risk of overflow.
* The 34.30 result is then truncated to 34.15 format by discarding the low 15 bits and then saturated to 1.15 format.
*
* \par
* Refer to <code>arm_correlate_fast_q15()</code> for a faster but less precise version of this function for Cortex-M3 and Cortex-M4.
*
*
*/
void arm_correlate_opt_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst,
q15_t * pScratch)
{
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q63_t acc0, acc1, acc2, acc3; /* Accumulators */
q15_t *py; /* Intermediate inputB pointer */
q31_t x1, x2, x3; /* temporary variables for holding input1 and input2 values */
uint32_t j, blkCnt, outBlockSize; /* loop counter */
int32_t inc = 1; /* output pointer increment */
uint32_t tapCnt;
q31_t y1, y2;
q15_t *pScr; /* Intermediate pointers */
q15_t *pOut = pDst; /* output pointer */
#ifdef UNALIGNED_SUPPORT_DISABLE
q15_t a, b;
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and the destination pointer modifier, inc is set to -1 */
/* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */
/* But to improve the performance,
* we include zeroes in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen,
* (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */
/* If srcALen < srcBLen,
* (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = (pSrcA);
/* Initialization of inputB pointer */
pIn2 = (pSrcB);
/* Number of output samples is calculated */
outBlockSize = (2U * srcALen) - 1U;
/* When srcALen > srcBLen, zero padding is done to srcB
* to make their lengths equal.
* Instead, (outBlockSize - (srcALen + srcBLen - 1))
* number of output samples are made zero */
j = outBlockSize - (srcALen + (srcBLen - 1U));
/* Updating the pointer position to non zero value */
pOut += j;
}
else
{
/* Initialization of inputA pointer */
pIn1 = (pSrcB);
/* Initialization of inputB pointer */
pIn2 = (pSrcA);
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
/* CORR(x, y) = Reverse order(CORR(y, x)) */
/* Hence set the destination pointer to point to the last output sample */
pOut = pDst + ((srcALen + srcBLen) - 2U);
/* Destination address modifier is set to -1 */
inc = -1;
}
pScr = pScratch;
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr += (srcBLen - 1U);
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Copy (srcALen) samples in scratch buffer */
arm_copy_q15(pIn1, pScr, srcALen);
/* Update pointers */
//pIn1 += srcALen;
pScr += srcALen;
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
j = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (j > 0U)
{
/* copy second buffer in reversal manner */
*pScr++ = *pIn1++;
*pScr++ = *pIn1++;
*pScr++ = *pIn1++;
*pScr++ = *pIn1++;
/* Decrement the loop counter */
j--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
j = srcALen % 0x4U;
while (j > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr++ = *pIn1++;
/* Decrement the loop counter */
j--;
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr, (srcBLen - 1U));
/* Update pointer */
pScr += (srcBLen - 1U);
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
j = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (j > 0U)
{
/* copy second buffer in reversal manner */
*pScr++ = 0;
*pScr++ = 0;
*pScr++ = 0;
*pScr++ = 0;
/* Decrement the loop counter */
j--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
j = (srcBLen - 1U) % 0x4U;
while (j > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr++ = 0;
/* Decrement the loop counter */
j--;
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Temporary pointer for scratch2 */
py = pIn2;
/* Actual correlation process starts here */
blkCnt = (srcALen + srcBLen - 1U) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr = pScratch;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read four samples from scratch1 buffer */
x1 = *__SIMD32(pScr)++;
/* Read next four samples from scratch1 buffer */
x2 = *__SIMD32(pScr)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pIn2);
y2 = _SIMD32_OFFSET(pIn2 + 2U);
acc0 = __SMLALD(x1, y1, acc0);
acc2 = __SMLALD(x2, y1, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc1 = __SMLALDX(x3, y1, acc1);
x1 = _SIMD32_OFFSET(pScr);
acc0 = __SMLALD(x2, y2, acc0);
acc2 = __SMLALD(x1, y2, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLALDX(x3, y1, acc3);
acc1 = __SMLALDX(x3, y2, acc1);
x2 = _SIMD32_OFFSET(pScr + 2U);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLALDX(x3, y2, acc3);
#else
/* Read four samples from smaller buffer */
a = *pIn2;
b = *(pIn2 + 1);
#ifndef ARM_MATH_BIG_ENDIAN
y1 = __PKHBT(a, b, 16);
#else
y1 = __PKHBT(b, a, 16);
#endif
a = *(pIn2 + 2);
b = *(pIn2 + 3);
#ifndef ARM_MATH_BIG_ENDIAN
y2 = __PKHBT(a, b, 16);
#else
y2 = __PKHBT(b, a, 16);
#endif
acc0 = __SMLALD(x1, y1, acc0);
acc2 = __SMLALD(x2, y1, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc1 = __SMLALDX(x3, y1, acc1);
a = *pScr;
b = *(pScr + 1);
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(a, b, 16);
#else
x1 = __PKHBT(b, a, 16);
#endif
acc0 = __SMLALD(x2, y2, acc0);
acc2 = __SMLALD(x1, y2, acc2);
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLALDX(x3, y1, acc3);
acc1 = __SMLALDX(x3, y2, acc1);
a = *(pScr + 2);
b = *(pScr + 3);
#ifndef ARM_MATH_BIG_ENDIAN
x2 = __PKHBT(a, b, 16);
#else
x2 = __PKHBT(b, a, 16);
#endif
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLALDX(x3, y2, acc3);
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
pIn2 += 4U;
pScr += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr++ * *pIn2);
acc1 += (*pScr++ * *pIn2);
acc2 += (*pScr++ * *pIn2);
acc3 += (*pScr++ * *pIn2++);
pScr -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the results in the accumulators in the destination buffer. */
*pOut = (__SSAT(acc0 >> 15U, 16));
pOut += inc;
*pOut = (__SSAT(acc1 >> 15U, 16));
pOut += inc;
*pOut = (__SSAT(acc2 >> 15U, 16));
pOut += inc;
*pOut = (__SSAT(acc3 >> 15U, 16));
pOut += inc;
/* Initialization of inputB pointer */
pIn2 = py;
pScratch += 4U;
}
blkCnt = (srcALen + srcBLen - 1U) & 0x3;
/* Calculate correlation for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr = pScratch;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
acc0 += (*pScr++ * *pIn2++);
acc0 += (*pScr++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr++ * *pIn2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q15_t) (__SSAT((acc0 >> 15), 16));
pOut += inc;
/* Initialization of inputB pointer */
pIn2 = py;
pScratch += 1U;
}
}
/**
* @} end of Corr group
*/

View File

@@ -1,452 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_correlate_opt_q7.c
* Description: Correlation of Q7 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Corr
* @{
*/
/**
* @brief Correlation of Q7 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1.
* @param[in] *pScratch1 points to scratch buffer(of type q15_t) of size max(srcALen, srcBLen) + 2*min(srcALen, srcBLen) - 2.
* @param[in] *pScratch2 points to scratch buffer (of type q15_t) of size min(srcALen, srcBLen).
* @return none.
*
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, scratch1 and scratch2 buffers should be aligned by 32-bit
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using a 32-bit internal accumulator.
* Both the inputs are represented in 1.7 format and multiplications yield a 2.14 result.
* The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format.
* This approach provides 17 guard bits and there is no risk of overflow as long as <code>max(srcALen, srcBLen)<131072</code>.
* The 18.14 result is then truncated to 18.7 format by discarding the low 7 bits and saturated to 1.7 format.
*
*
*/
void arm_correlate_opt_q7(
q7_t * pSrcA,
uint32_t srcALen,
q7_t * pSrcB,
uint32_t srcBLen,
q7_t * pDst,
q15_t * pScratch1,
q15_t * pScratch2)
{
q7_t *pOut = pDst; /* output pointer */
q15_t *pScr1 = pScratch1; /* Temporary pointer for scratch */
q15_t *pScr2 = pScratch2; /* Temporary pointer for scratch */
q7_t *pIn1; /* inputA pointer */
q7_t *pIn2; /* inputB pointer */
q15_t *py; /* Intermediate inputB pointer */
q31_t acc0, acc1, acc2, acc3; /* Accumulators */
uint32_t j, k = 0U, blkCnt; /* loop counter */
int32_t inc = 1; /* output pointer increment */
uint32_t outBlockSize; /* loop counter */
q15_t x4; /* Temporary input variable */
uint32_t tapCnt; /* loop counter */
q31_t x1, x2, x3, y1; /* Temporary input variables */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and the destination pointer modifier, inc is set to -1 */
/* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */
/* But to improve the performance,
* we include zeroes in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen,
* (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */
/* If srcALen < srcBLen,
* (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = (pSrcA);
/* Initialization of inputB pointer */
pIn2 = (pSrcB);
/* Number of output samples is calculated */
outBlockSize = (2U * srcALen) - 1U;
/* When srcALen > srcBLen, zero padding is done to srcB
* to make their lengths equal.
* Instead, (outBlockSize - (srcALen + srcBLen - 1))
* number of output samples are made zero */
j = outBlockSize - (srcALen + (srcBLen - 1U));
/* Updating the pointer position to non zero value */
pOut += j;
}
else
{
/* Initialization of inputA pointer */
pIn1 = (pSrcB);
/* Initialization of inputB pointer */
pIn2 = (pSrcA);
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
/* CORR(x, y) = Reverse order(CORR(y, x)) */
/* Hence set the destination pointer to point to the last output sample */
pOut = pDst + ((srcALen + srcBLen) - 2U);
/* Destination address modifier is set to -1 */
inc = -1;
}
/* Copy (srcBLen) samples in scratch buffer */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
x4 = (q15_t) * pIn2++;
*pScr2++ = x4;
x4 = (q15_t) * pIn2++;
*pScr2++ = x4;
x4 = (q15_t) * pIn2++;
*pScr2++ = x4;
x4 = (q15_t) * pIn2++;
*pScr2++ = x4;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
x4 = (q15_t) * pIn2++;
*pScr2++ = x4;
/* Decrement the loop counter */
k--;
}
/* Fill (srcBLen - 1U) zeros in scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update temporary scratch pointer */
pScr1 += (srcBLen - 1U);
/* Copy (srcALen) samples in scratch buffer */
k = srcALen >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = srcALen % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
x4 = (q15_t) * pIn1++;
*pScr1++ = x4;
/* Decrement the loop counter */
k--;
}
#ifndef UNALIGNED_SUPPORT_DISABLE
/* Fill (srcBLen - 1U) zeros at end of scratch buffer */
arm_fill_q15(0, pScr1, (srcBLen - 1U));
/* Update pointer */
pScr1 += (srcBLen - 1U);
#else
/* Apply loop unrolling and do 4 Copies simultaneously. */
k = (srcBLen - 1U) >> 2U;
/* First part of the processing with loop unrolling copies 4 data points at a time.
** a second loop below copies for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* copy second buffer in reversal manner */
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, copy remaining samples here.
** No loop unrolling is used. */
k = (srcBLen - 1U) % 0x4U;
while (k > 0U)
{
/* copy second buffer in reversal manner for remaining samples */
*pScr1++ = 0;
/* Decrement the loop counter */
k--;
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Temporary pointer for second sequence */
py = pScratch2;
/* Initialization of pScr2 pointer */
pScr2 = pScratch2;
/* Actual correlation process starts here */
blkCnt = (srcALen + srcBLen - 1U) >> 2;
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Read two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* Read next two samples from scratch1 buffer */
x2 = *__SIMD32(pScr1)++;
tapCnt = (srcBLen) >> 2U;
while (tapCnt > 0U)
{
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pScr2);
/* multiply and accumlate */
acc0 = __SMLAD(x1, y1, acc0);
acc2 = __SMLAD(x2, y1, acc2);
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
/* multiply and accumlate */
acc1 = __SMLADX(x3, y1, acc1);
/* Read next two samples from scratch1 buffer */
x1 = *__SIMD32(pScr1)++;
/* pack input data */
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x1, x2, 0);
#else
x3 = __PKHBT(x2, x1, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
/* Read four samples from smaller buffer */
y1 = _SIMD32_OFFSET(pScr2 + 2U);
acc0 = __SMLAD(x2, y1, acc0);
acc2 = __SMLAD(x1, y1, acc2);
acc1 = __SMLADX(x3, y1, acc1);
x2 = *__SIMD32(pScr1)++;
#ifndef ARM_MATH_BIG_ENDIAN
x3 = __PKHBT(x2, x1, 0);
#else
x3 = __PKHBT(x1, x2, 0);
#endif
acc3 = __SMLADX(x3, y1, acc3);
pScr2 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* Update scratch pointer for remaining samples of smaller length sequence */
pScr1 -= 4U;
/* apply same above for remaining samples of smaller length sequence */
tapCnt = (srcBLen) & 3U;
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pScr2);
acc1 += (*pScr1++ * *pScr2);
acc2 += (*pScr1++ * *pScr2);
acc3 += (*pScr1++ * *pScr2++);
pScr1 -= 3U;
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q7_t) (__SSAT(acc0 >> 7U, 8));
pOut += inc;
*pOut = (q7_t) (__SSAT(acc1 >> 7U, 8));
pOut += inc;
*pOut = (q7_t) (__SSAT(acc2 >> 7U, 8));
pOut += inc;
*pOut = (q7_t) (__SSAT(acc3 >> 7U, 8));
pOut += inc;
/* Initialization of inputB pointer */
pScr2 = py;
pScratch1 += 4U;
}
blkCnt = (srcALen + srcBLen - 1U) & 0x3;
/* Calculate correlation for remaining samples of Bigger length sequence */
while (blkCnt > 0)
{
/* Initialze temporary scratch pointer as scratch1 */
pScr1 = pScratch1;
/* Clear Accumlators */
acc0 = 0;
tapCnt = (srcBLen) >> 1U;
while (tapCnt > 0U)
{
acc0 += (*pScr1++ * *pScr2++);
acc0 += (*pScr1++ * *pScr2++);
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (srcBLen) & 1U;
/* apply same above for remaining samples of smaller length sequence */
while (tapCnt > 0U)
{
/* accumlate the results */
acc0 += (*pScr1++ * *pScr2++);
/* Decrement the loop counter */
tapCnt--;
}
blkCnt--;
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q7_t) (__SSAT(acc0 >> 7U, 8));
pOut += inc;
/* Initialization of inputB pointer */
pScr2 = py;
pScratch1 += 1U;
}
}
/**
* @} end of Corr group
*/

View File

@@ -1,707 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_correlate_q15.c
* Description: Correlation of Q15 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Corr
* @{
*/
/**
* @brief Correlation of Q15 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both inputs are in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* This approach provides 33 guard bits and there is no risk of overflow.
* The 34.30 result is then truncated to 34.15 format by discarding the low 15 bits and then saturated to 1.15 format.
*
* \par
* Refer to <code>arm_correlate_fast_q15()</code> for a faster but less precise version of this function for Cortex-M3 and Cortex-M4.
*
* \par
* Refer the function <code>arm_correlate_opt_q15()</code> for a faster implementation of this function using scratch buffers.
*
*/
void arm_correlate_q15(
q15_t * pSrcA,
uint32_t srcALen,
q15_t * pSrcB,
uint32_t srcBLen,
q15_t * pDst)
{
#if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q15_t *pIn1; /* inputA pointer */
q15_t *pIn2; /* inputB pointer */
q15_t *pOut = pDst; /* output pointer */
q63_t sum, acc0, acc1, acc2, acc3; /* Accumulators */
q15_t *px; /* Intermediate inputA pointer */
q15_t *py; /* Intermediate inputB pointer */
q15_t *pSrc1; /* Intermediate pointers */
q31_t x0, x1, x2, x3, c0; /* temporary variables for holding input and coefficient values */
uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */
int32_t inc = 1; /* Destination address modifier */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and the destination pointer modifier, inc is set to -1 */
/* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */
/* But to improve the performance,
* we include zeroes in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen,
* (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */
/* If srcALen < srcBLen,
* (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = (pSrcA);
/* Initialization of inputB pointer */
pIn2 = (pSrcB);
/* Number of output samples is calculated */
outBlockSize = (2U * srcALen) - 1U;
/* When srcALen > srcBLen, zero padding is done to srcB
* to make their lengths equal.
* Instead, (outBlockSize - (srcALen + srcBLen - 1))
* number of output samples are made zero */
j = outBlockSize - (srcALen + (srcBLen - 1U));
/* Updating the pointer position to non zero value */
pOut += j;
}
else
{
/* Initialization of inputA pointer */
pIn1 = (pSrcB);
/* Initialization of inputB pointer */
pIn2 = (pSrcA);
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
/* CORR(x, y) = Reverse order(CORR(y, x)) */
/* Hence set the destination pointer to point to the last output sample */
pOut = pDst + ((srcALen + srcBLen) - 2U);
/* Destination address modifier is set to -1 */
inc = -1;
}
/* The function is internally
* divided into three parts according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first part of the
* algorithm, the multiplications increase by one for every iteration.
* In the second part of the algorithm, srcBLen number of multiplications are done.
* In the third part of the algorithm, the multiplications decrease by one
* for every iteration.*/
/* The algorithm is implemented in three stages.
* The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
blockSize3 = blockSize1;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[srcBlen - 1]
* sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1]
* ....
* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc1 = pIn2 + (srcBLen - 1U);
py = pSrc1;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first loop starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 4] , x[1] * y[srcBLen - 3] */
sum = __SMLALD(*__SIMD32(px)++, *__SIMD32(py)++, sum);
/* x[3] * y[srcBLen - 1] , x[2] * y[srcBLen - 2] */
sum = __SMLALD(*__SIMD32(px)++, *__SIMD32(py)++, sum);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* x[0] * y[srcBLen - 1] */
sum = __SMLALD(*px++, *py++, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q15_t) (__SSAT((sum >> 15), 16));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
py = pSrc1 - count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1]
* sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1]
* ....
* sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4, to loop unroll the srcBLen loop */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1] samples */
x0 = *__SIMD32(px);
/* read x[1], x[2] samples */
x1 = _SIMD32_OFFSET(px + 1);
px += 2U;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read the first two inputB samples using SIMD:
* y[0] and y[1] */
c0 = *__SIMD32(py)++;
/* acc0 += x[0] * y[0] + x[1] * y[1] */
acc0 = __SMLALD(x0, c0, acc0);
/* acc1 += x[1] * y[0] + x[2] * y[1] */
acc1 = __SMLALD(x1, c0, acc1);
/* Read x[2], x[3] */
x2 = *__SIMD32(px);
/* Read x[3], x[4] */
x3 = _SIMD32_OFFSET(px + 1);
/* acc2 += x[2] * y[0] + x[3] * y[1] */
acc2 = __SMLALD(x2, c0, acc2);
/* acc3 += x[3] * y[0] + x[4] * y[1] */
acc3 = __SMLALD(x3, c0, acc3);
/* Read y[2] and y[3] */
c0 = *__SIMD32(py)++;
/* acc0 += x[2] * y[2] + x[3] * y[3] */
acc0 = __SMLALD(x2, c0, acc0);
/* acc1 += x[3] * y[2] + x[4] * y[3] */
acc1 = __SMLALD(x3, c0, acc1);
/* Read x[4], x[5] */
x0 = _SIMD32_OFFSET(px + 2);
/* Read x[5], x[6] */
x1 = _SIMD32_OFFSET(px + 3);
px += 4U;
/* acc2 += x[4] * y[2] + x[5] * y[3] */
acc2 = __SMLALD(x0, c0, acc2);
/* acc3 += x[5] * y[2] + x[6] * y[3] */
acc3 = __SMLALD(x1, c0, acc3);
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
if (k == 1U)
{
/* Read y[4] */
c0 = *py;
#ifdef ARM_MATH_BIG_ENDIAN
c0 = c0 << 16U;
#else
c0 = c0 & 0x0000FFFF;
#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
/* Read x[7] */
x3 = *__SIMD32(px);
px++;
/* Perform the multiply-accumulates */
acc0 = __SMLALD(x0, c0, acc0);
acc1 = __SMLALD(x1, c0, acc1);
acc2 = __SMLALDX(x1, c0, acc2);
acc3 = __SMLALDX(x3, c0, acc3);
}
if (k == 2U)
{
/* Read y[4], y[5] */
c0 = *__SIMD32(py);
/* Read x[7], x[8] */
x3 = *__SIMD32(px);
/* Read x[9] */
x2 = _SIMD32_OFFSET(px + 1);
px += 2U;
/* Perform the multiply-accumulates */
acc0 = __SMLALD(x0, c0, acc0);
acc1 = __SMLALD(x1, c0, acc1);
acc2 = __SMLALD(x3, c0, acc2);
acc3 = __SMLALD(x2, c0, acc3);
}
if (k == 3U)
{
/* Read y[4], y[5] */
c0 = *__SIMD32(py)++;
/* Read x[7], x[8] */
x3 = *__SIMD32(px);
/* Read x[9] */
x2 = _SIMD32_OFFSET(px + 1);
/* Perform the multiply-accumulates */
acc0 = __SMLALD(x0, c0, acc0);
acc1 = __SMLALD(x1, c0, acc1);
acc2 = __SMLALD(x3, c0, acc2);
acc3 = __SMLALD(x2, c0, acc3);
c0 = (*py);
/* Read y[6] */
#ifdef ARM_MATH_BIG_ENDIAN
c0 = c0 << 16U;
#else
c0 = c0 & 0x0000FFFF;
#endif /* #ifdef ARM_MATH_BIG_ENDIAN */
/* Read x[10] */
x3 = _SIMD32_OFFSET(px + 2);
px += 3U;
/* Perform the multiply-accumulates */
acc0 = __SMLALDX(x1, c0, acc0);
acc1 = __SMLALD(x2, c0, acc1);
acc2 = __SMLALDX(x2, c0, acc2);
acc3 = __SMLALDX(x3, c0, acc3);
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q15_t) (__SSAT(acc0 >> 15, 16));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
*pOut = (q15_t) (__SSAT(acc1 >> 15, 16));
pOut += inc;
*pOut = (q15_t) (__SSAT(acc2 >> 15, 16));
pOut += inc;
*pOut = (q15_t) (__SSAT(acc3 >> 15, 16));
pOut += inc;
/* Increment the count by 4 as 4 output values are computed */
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q63_t) * px++ * *py++);
sum += ((q63_t) * px++ * *py++);
sum += ((q63_t) * px++ * *py++);
sum += ((q63_t) * px++ * *py++);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q63_t) * px++ * *py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q15_t) (__SSAT(sum >> 15, 16));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment count by 1, as one output value is computed */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Loop over srcBLen */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += ((q63_t) * px++ * *py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q15_t) (__SSAT(sum >> 15, 16));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* ....
* sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1]
* sum += x[srcALen-1] * y[0]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = (pIn1 + srcALen) - (srcBLen - 1U);
px = pSrc1;
/* Working pointer of inputB */
py = pIn2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen - srcBLen + 4] * y[3] , sum += x[srcALen - srcBLen + 3] * y[2] */
sum = __SMLALD(*__SIMD32(px)++, *__SIMD32(py)++, sum);
/* sum += x[srcALen - srcBLen + 2] * y[1] , sum += x[srcALen - srcBLen + 1] * y[0] */
sum = __SMLALD(*__SIMD32(px)++, *__SIMD32(py)++, sum);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum = __SMLALD(*px++, *py++, sum);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q15_t) (__SSAT((sum >> 15), 16));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pIn2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
#else
/* Run the below code for Cortex-M0 */
q15_t *pIn1 = pSrcA; /* inputA pointer */
q15_t *pIn2 = pSrcB + (srcBLen - 1U); /* inputB pointer */
q63_t sum; /* Accumulators */
uint32_t i = 0U, j; /* loop counters */
uint32_t inv = 0U; /* Reverse order flag */
uint32_t tot = 0U; /* Length */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and a varaible, inv is set to 1 */
/* If lengths are not equal then zero pad has to be done to make the two
* inputs of same length. But to improve the performance, we include zeroes
* in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen, (srcALen - srcBLen) zeroes has to included in the
* starting of the output buffer */
/* If srcALen < srcBLen, (srcALen - srcBLen) zeroes has to included in the
* ending of the output buffer */
/* Once the zero padding is done the remaining of the output is calcualted
* using convolution but with the shorter signal time shifted. */
/* Calculate the length of the remaining sequence */
tot = ((srcALen + srcBLen) - 2U);
if (srcALen > srcBLen)
{
/* Calculating the number of zeros to be padded to the output */
j = srcALen - srcBLen;
/* Initialise the pointer after zero padding */
pDst += j;
}
else if (srcALen < srcBLen)
{
/* Initialization to inputB pointer */
pIn1 = pSrcB;
/* Initialization to the end of inputA pointer */
pIn2 = pSrcA + (srcALen - 1U);
/* Initialisation of the pointer after zero padding */
pDst = pDst + tot;
/* Swapping the lengths */
j = srcALen;
srcALen = srcBLen;
srcBLen = j;
/* Setting the reverse flag */
inv = 1;
}
/* Loop to calculate convolution for output length number of times */
for (i = 0U; i <= tot; i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0U; j <= i; j++)
{
/* Check the array limitations */
if ((((i - j) < srcBLen) && (j < srcALen)))
{
/* z[i] += x[i-j] * y[j] */
sum += ((q31_t) pIn1[j] * pIn2[-((int32_t) i - j)]);
}
}
/* Store the output in the destination buffer */
if (inv == 1)
*pDst-- = (q15_t) __SSAT((sum >> 15U), 16U);
else
*pDst++ = (q15_t) __SSAT((sum >> 15U), 16U);
}
#endif /* #if (defined(ARM_MATH_CM7) || defined(ARM_MATH_CM4) || defined(ARM_MATH_CM3)) && !defined(UNALIGNED_SUPPORT_DISABLE) */
}
/**
* @} end of Corr group
*/

View File

@@ -1,653 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_correlate_q31.c
* Description: Correlation of Q31 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Corr
* @{
*/
/**
* @brief Correlation of Q31 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* There is no saturation on intermediate additions.
* Thus, if the accumulator overflows it wraps around and distorts the result.
* The input signals should be scaled down to avoid intermediate overflows.
* Scale down one of the inputs by 1/min(srcALen, srcBLen)to avoid overflows since a
* maximum of min(srcALen, srcBLen) number of additions is carried internally.
* The 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result.
*
* \par
* See <code>arm_correlate_fast_q31()</code> for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4.
*/
void arm_correlate_q31(
q31_t * pSrcA,
uint32_t srcALen,
q31_t * pSrcB,
uint32_t srcBLen,
q31_t * pDst)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q31_t *pIn1; /* inputA pointer */
q31_t *pIn2; /* inputB pointer */
q31_t *pOut = pDst; /* output pointer */
q31_t *px; /* Intermediate inputA pointer */
q31_t *py; /* Intermediate inputB pointer */
q31_t *pSrc1; /* Intermediate pointers */
q63_t sum, acc0, acc1, acc2; /* Accumulators */
q31_t x0, x1, x2, c0; /* temporary variables for holding input and coefficient values */
uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */
int32_t inc = 1; /* Destination address modifier */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and the destination pointer modifier, inc is set to -1 */
/* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */
/* But to improve the performance,
* we include zeroes in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen,
* (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */
/* If srcALen < srcBLen,
* (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = (pSrcA);
/* Initialization of inputB pointer */
pIn2 = (pSrcB);
/* Number of output samples is calculated */
outBlockSize = (2U * srcALen) - 1U;
/* When srcALen > srcBLen, zero padding is done to srcB
* to make their lengths equal.
* Instead, (outBlockSize - (srcALen + srcBLen - 1))
* number of output samples are made zero */
j = outBlockSize - (srcALen + (srcBLen - 1U));
/* Updating the pointer position to non zero value */
pOut += j;
}
else
{
/* Initialization of inputA pointer */
pIn1 = (pSrcB);
/* Initialization of inputB pointer */
pIn2 = (pSrcA);
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
/* CORR(x, y) = Reverse order(CORR(y, x)) */
/* Hence set the destination pointer to point to the last output sample */
pOut = pDst + ((srcALen + srcBLen) - 2U);
/* Destination address modifier is set to -1 */
inc = -1;
}
/* The function is internally
* divided into three parts according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first part of the
* algorithm, the multiplications increase by one for every iteration.
* In the second part of the algorithm, srcBLen number of multiplications are done.
* In the third part of the algorithm, the multiplications decrease by one
* for every iteration.*/
/* The algorithm is implemented in three stages.
* The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
blockSize3 = blockSize1;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[srcBlen - 1]
* sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1]
* ....
* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc1 = pIn2 + (srcBLen - 1U);
py = pSrc1;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] * y[srcBLen - 4] */
sum += (q63_t) * px++ * (*py++);
/* x[1] * y[srcBLen - 3] */
sum += (q63_t) * px++ * (*py++);
/* x[2] * y[srcBLen - 2] */
sum += (q63_t) * px++ * (*py++);
/* x[3] * y[srcBLen - 1] */
sum += (q63_t) * px++ * (*py++);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* x[0] * y[srcBLen - 1] */
sum += (q63_t) * px++ * (*py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q31_t) (sum >> 31);
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
py = pSrc1 - count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1]
* sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1]
* ....
* sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll by 3 */
blkCnt = blockSize2 / 3;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
/* read x[0], x[1] samples */
x0 = *(px++);
x1 = *(px++);
/* Apply loop unrolling and compute 3 MACs simultaneously. */
k = srcBLen / 3;
/* First part of the processing with loop unrolling. Compute 3 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 2 samples. */
do
{
/* Read y[0] sample */
c0 = *(py);
/* Read x[2] sample */
x2 = *(px);
/* Perform the multiply-accumulate */
/* acc0 += x[0] * y[0] */
acc0 += ((q63_t) x0 * c0);
/* acc1 += x[1] * y[0] */
acc1 += ((q63_t) x1 * c0);
/* acc2 += x[2] * y[0] */
acc2 += ((q63_t) x2 * c0);
/* Read y[1] sample */
c0 = *(py + 1U);
/* Read x[3] sample */
x0 = *(px + 1U);
/* Perform the multiply-accumulates */
/* acc0 += x[1] * y[1] */
acc0 += ((q63_t) x1 * c0);
/* acc1 += x[2] * y[1] */
acc1 += ((q63_t) x2 * c0);
/* acc2 += x[3] * y[1] */
acc2 += ((q63_t) x0 * c0);
/* Read y[2] sample */
c0 = *(py + 2U);
/* Read x[4] sample */
x1 = *(px + 2U);
/* Perform the multiply-accumulates */
/* acc0 += x[2] * y[2] */
acc0 += ((q63_t) x2 * c0);
/* acc1 += x[3] * y[2] */
acc1 += ((q63_t) x0 * c0);
/* acc2 += x[4] * y[2] */
acc2 += ((q63_t) x1 * c0);
/* update scratch pointers */
px += 3U;
py += 3U;
} while (--k);
/* If the srcBLen is not a multiple of 3, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen - (3 * (srcBLen / 3));
while (k > 0U)
{
/* Read y[4] sample */
c0 = *(py++);
/* Read x[7] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[4] */
acc0 += ((q63_t) x0 * c0);
/* acc1 += x[5] * y[4] */
acc1 += ((q63_t) x1 * c0);
/* acc2 += x[6] * y[4] */
acc2 += ((q63_t) x2 * c0);
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q31_t) (acc0 >> 31);
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
*pOut = (q31_t) (acc1 >> 31);
pOut += inc;
*pOut = (q31_t) (acc2 >> 31);
pOut += inc;
/* Increment the pointer pIn1 index, count by 3 */
count += 3U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 3, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 - 3 * (blockSize2 / 3);
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += (q63_t) * px++ * (*py++);
sum += (q63_t) * px++ * (*py++);
sum += (q63_t) * px++ * (*py++);
sum += (q63_t) * px++ * (*py++);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q31_t) (sum >> 31);
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Loop over srcBLen */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += (q63_t) * px++ * (*py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q31_t) (sum >> 31);
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* ....
* sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1]
* sum += x[srcALen-1] * y[0]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = pIn1 + (srcALen - (srcBLen - 1U));
px = pSrc1;
/* Working pointer of inputB */
py = pIn2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* sum += x[srcALen - srcBLen + 4] * y[3] */
sum += (q63_t) * px++ * (*py++);
/* sum += x[srcALen - srcBLen + 3] * y[2] */
sum += (q63_t) * px++ * (*py++);
/* sum += x[srcALen - srcBLen + 2] * y[1] */
sum += (q63_t) * px++ * (*py++);
/* sum += x[srcALen - srcBLen + 1] * y[0] */
sum += (q63_t) * px++ * (*py++);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += (q63_t) * px++ * (*py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q31_t) (sum >> 31);
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pIn2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
#else
/* Run the below code for Cortex-M0 */
q31_t *pIn1 = pSrcA; /* inputA pointer */
q31_t *pIn2 = pSrcB + (srcBLen - 1U); /* inputB pointer */
q63_t sum; /* Accumulators */
uint32_t i = 0U, j; /* loop counters */
uint32_t inv = 0U; /* Reverse order flag */
uint32_t tot = 0U; /* Length */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and a varaible, inv is set to 1 */
/* If lengths are not equal then zero pad has to be done to make the two
* inputs of same length. But to improve the performance, we include zeroes
* in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen, (srcALen - srcBLen) zeroes has to included in the
* starting of the output buffer */
/* If srcALen < srcBLen, (srcALen - srcBLen) zeroes has to included in the
* ending of the output buffer */
/* Once the zero padding is done the remaining of the output is calcualted
* using correlation but with the shorter signal time shifted. */
/* Calculate the length of the remaining sequence */
tot = ((srcALen + srcBLen) - 2U);
if (srcALen > srcBLen)
{
/* Calculating the number of zeros to be padded to the output */
j = srcALen - srcBLen;
/* Initialise the pointer after zero padding */
pDst += j;
}
else if (srcALen < srcBLen)
{
/* Initialization to inputB pointer */
pIn1 = pSrcB;
/* Initialization to the end of inputA pointer */
pIn2 = pSrcA + (srcALen - 1U);
/* Initialisation of the pointer after zero padding */
pDst = pDst + tot;
/* Swapping the lengths */
j = srcALen;
srcALen = srcBLen;
srcBLen = j;
/* Setting the reverse flag */
inv = 1;
}
/* Loop to calculate correlation for output length number of times */
for (i = 0U; i <= tot; i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to correlation equation */
for (j = 0U; j <= i; j++)
{
/* Check the array limitations */
if ((((i - j) < srcBLen) && (j < srcALen)))
{
/* z[i] += x[i-j] * y[j] */
sum += ((q63_t) pIn1[j] * pIn2[-((int32_t) i - j)]);
}
}
/* Store the output in the destination buffer */
if (inv == 1)
*pDst-- = (q31_t) (sum >> 31U);
else
*pDst++ = (q31_t) (sum >> 31U);
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of Corr group
*/

View File

@@ -1,778 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_correlate_q7.c
* Description: Correlation of Q7 sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup Corr
* @{
*/
/**
* @brief Correlation of Q7 sequences.
* @param[in] *pSrcA points to the first input sequence.
* @param[in] srcALen length of the first input sequence.
* @param[in] *pSrcB points to the second input sequence.
* @param[in] srcBLen length of the second input sequence.
* @param[out] *pDst points to the location where the output result is written. Length 2 * max(srcALen, srcBLen) - 1.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* The function is implemented using a 32-bit internal accumulator.
* Both the inputs are represented in 1.7 format and multiplications yield a 2.14 result.
* The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format.
* This approach provides 17 guard bits and there is no risk of overflow as long as <code>max(srcALen, srcBLen)<131072</code>.
* The 18.14 result is then truncated to 18.7 format by discarding the low 7 bits and saturated to 1.7 format.
*
* \par
* Refer the function <code>arm_correlate_opt_q7()</code> for a faster implementation of this function.
*
*/
void arm_correlate_q7(
q7_t * pSrcA,
uint32_t srcALen,
q7_t * pSrcB,
uint32_t srcBLen,
q7_t * pDst)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q7_t *pIn1; /* inputA pointer */
q7_t *pIn2; /* inputB pointer */
q7_t *pOut = pDst; /* output pointer */
q7_t *px; /* Intermediate inputA pointer */
q7_t *py; /* Intermediate inputB pointer */
q7_t *pSrc1; /* Intermediate pointers */
q31_t sum, acc0, acc1, acc2, acc3; /* Accumulators */
q31_t input1, input2; /* temporary variables */
q15_t in1, in2; /* temporary variables */
q7_t x0, x1, x2, x3, c0, c1; /* temporary variables for holding input and coefficient values */
uint32_t j, k = 0U, count, blkCnt, outBlockSize, blockSize1, blockSize2, blockSize3; /* loop counter */
int32_t inc = 1;
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and the destination pointer modifier, inc is set to -1 */
/* If srcALen > srcBLen, zero pad has to be done to srcB to make the two inputs of same length */
/* But to improve the performance,
* we include zeroes in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen,
* (srcALen - srcBLen) zeroes has to included in the starting of the output buffer */
/* If srcALen < srcBLen,
* (srcALen - srcBLen) zeroes has to included in the ending of the output buffer */
if (srcALen >= srcBLen)
{
/* Initialization of inputA pointer */
pIn1 = (pSrcA);
/* Initialization of inputB pointer */
pIn2 = (pSrcB);
/* Number of output samples is calculated */
outBlockSize = (2U * srcALen) - 1U;
/* When srcALen > srcBLen, zero padding is done to srcB
* to make their lengths equal.
* Instead, (outBlockSize - (srcALen + srcBLen - 1))
* number of output samples are made zero */
j = outBlockSize - (srcALen + (srcBLen - 1U));
/* Updating the pointer position to non zero value */
pOut += j;
}
else
{
/* Initialization of inputA pointer */
pIn1 = (pSrcB);
/* Initialization of inputB pointer */
pIn2 = (pSrcA);
/* srcBLen is always considered as shorter or equal to srcALen */
j = srcBLen;
srcBLen = srcALen;
srcALen = j;
/* CORR(x, y) = Reverse order(CORR(y, x)) */
/* Hence set the destination pointer to point to the last output sample */
pOut = pDst + ((srcALen + srcBLen) - 2U);
/* Destination address modifier is set to -1 */
inc = -1;
}
/* The function is internally
* divided into three parts according to the number of multiplications that has to be
* taken place between inputA samples and inputB samples. In the first part of the
* algorithm, the multiplications increase by one for every iteration.
* In the second part of the algorithm, srcBLen number of multiplications are done.
* In the third part of the algorithm, the multiplications decrease by one
* for every iteration.*/
/* The algorithm is implemented in three stages.
* The loop counters of each stage is initiated here. */
blockSize1 = srcBLen - 1U;
blockSize2 = srcALen - (srcBLen - 1U);
blockSize3 = blockSize1;
/* --------------------------
* Initializations of stage1
* -------------------------*/
/* sum = x[0] * y[srcBlen - 1]
* sum = x[0] * y[srcBlen - 2] + x[1] * y[srcBlen - 1]
* ....
* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen - 1] * y[srcBLen - 1]
*/
/* In this stage the MAC operations are increased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = 1U;
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
pSrc1 = pIn2 + (srcBLen - 1U);
py = pSrc1;
/* ------------------------
* Stage1 process
* ----------------------*/
/* The first stage starts here */
while (blockSize1 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[0] , x[1] */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[srcBLen - 4] , y[srcBLen - 3] */
in1 = (q15_t) * py++;
in2 = (q15_t) * py++;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* x[0] * y[srcBLen - 4] */
/* x[1] * y[srcBLen - 3] */
sum = __SMLAD(input1, input2, sum);
/* x[2] , x[3] */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[srcBLen - 2] , y[srcBLen - 1] */
in1 = (q15_t) * py++;
in2 = (q15_t) * py++;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* x[2] * y[srcBLen - 2] */
/* x[3] * y[srcBLen - 1] */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
/* x[0] * y[srcBLen - 1] */
sum += (q31_t) ((q15_t) * px++ * *py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q7_t) (__SSAT(sum >> 7, 8));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
py = pSrc1 - count;
px = pIn1;
/* Increment the MAC count */
count++;
/* Decrement the loop counter */
blockSize1--;
}
/* --------------------------
* Initializations of stage2
* ------------------------*/
/* sum = x[0] * y[0] + x[1] * y[1] +...+ x[srcBLen-1] * y[srcBLen-1]
* sum = x[1] * y[0] + x[2] * y[1] +...+ x[srcBLen] * y[srcBLen-1]
* ....
* sum = x[srcALen-srcBLen-2] * y[0] + x[srcALen-srcBLen-1] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
*/
/* Working pointer of inputA */
px = pIn1;
/* Working pointer of inputB */
py = pIn2;
/* count is index by which the pointer pIn1 to be incremented */
count = 0U;
/* -------------------
* Stage2 process
* ------------------*/
/* Stage2 depends on srcBLen as in this stage srcBLen number of MACS are performed.
* So, to loop unroll over blockSize2,
* srcBLen should be greater than or equal to 4 */
if (srcBLen >= 4U)
{
/* Loop unroll over blockSize2, by 4 */
blkCnt = blockSize2 >> 2U;
while (blkCnt > 0U)
{
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* read x[0], x[1], x[2] samples */
x0 = *px++;
x1 = *px++;
x2 = *px++;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
do
{
/* Read y[0] sample */
c0 = *py++;
/* Read y[1] sample */
c1 = *py++;
/* Read x[3] sample */
x3 = *px++;
/* x[0] and x[1] are packed */
in1 = (q15_t) x0;
in2 = (q15_t) x1;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[0] and y[1] are packed */
in1 = (q15_t) c0;
in2 = (q15_t) c1;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc0 += x[0] * y[0] + x[1] * y[1] */
acc0 = __SMLAD(input1, input2, acc0);
/* x[1] and x[2] are packed */
in1 = (q15_t) x1;
in2 = (q15_t) x2;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc1 += x[1] * y[0] + x[2] * y[1] */
acc1 = __SMLAD(input1, input2, acc1);
/* x[2] and x[3] are packed */
in1 = (q15_t) x2;
in2 = (q15_t) x3;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc2 += x[2] * y[0] + x[3] * y[1] */
acc2 = __SMLAD(input1, input2, acc2);
/* Read x[4] sample */
x0 = *(px++);
/* x[3] and x[4] are packed */
in1 = (q15_t) x3;
in2 = (q15_t) x0;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc3 += x[3] * y[0] + x[4] * y[1] */
acc3 = __SMLAD(input1, input2, acc3);
/* Read y[2] sample */
c0 = *py++;
/* Read y[3] sample */
c1 = *py++;
/* Read x[5] sample */
x1 = *px++;
/* x[2] and x[3] are packed */
in1 = (q15_t) x2;
in2 = (q15_t) x3;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[2] and y[3] are packed */
in1 = (q15_t) c0;
in2 = (q15_t) c1;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc0 += x[2] * y[2] + x[3] * y[3] */
acc0 = __SMLAD(input1, input2, acc0);
/* x[3] and x[4] are packed */
in1 = (q15_t) x3;
in2 = (q15_t) x0;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc1 += x[3] * y[2] + x[4] * y[3] */
acc1 = __SMLAD(input1, input2, acc1);
/* x[4] and x[5] are packed */
in1 = (q15_t) x0;
in2 = (q15_t) x1;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc2 += x[4] * y[2] + x[5] * y[3] */
acc2 = __SMLAD(input1, input2, acc2);
/* Read x[6] sample */
x2 = *px++;
/* x[5] and x[6] are packed */
in1 = (q15_t) x1;
in2 = (q15_t) x2;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* acc3 += x[5] * y[2] + x[6] * y[3] */
acc3 = __SMLAD(input1, input2, acc3);
} while (--k);
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Read y[4] sample */
c0 = *py++;
/* Read x[7] sample */
x3 = *px++;
/* Perform the multiply-accumulates */
/* acc0 += x[4] * y[4] */
acc0 += ((q15_t) x0 * c0);
/* acc1 += x[5] * y[4] */
acc1 += ((q15_t) x1 * c0);
/* acc2 += x[6] * y[4] */
acc2 += ((q15_t) x2 * c0);
/* acc3 += x[7] * y[4] */
acc3 += ((q15_t) x3 * c0);
/* Reuse the present samples for the next MAC */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q7_t) (__SSAT(acc0 >> 7, 8));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
*pOut = (q7_t) (__SSAT(acc1 >> 7, 8));
pOut += inc;
*pOut = (q7_t) (__SSAT(acc2 >> 7, 8));
pOut += inc;
*pOut = (q7_t) (__SSAT(acc3 >> 7, 8));
pOut += inc;
count += 4U;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize2 is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize2 % 0x4U;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = srcBLen >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* Reading two inputs of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Reading two inputs of SrcB buffer and packing */
in1 = (q15_t) * py++;
in2 = (q15_t) * py++;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Perform the multiply-accumulates */
sum = __SMLAD(input1, input2, sum);
/* Reading two inputs of SrcA buffer and packing */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Reading two inputs of SrcB buffer and packing */
in1 = (q15_t) * py++;
in2 = (q15_t) * py++;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* Perform the multiply-accumulates */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the srcBLen is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = srcBLen % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q15_t) * px++ * *py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q7_t) (__SSAT(sum >> 7, 8));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the pointer pIn1 index, count by 1 */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
else
{
/* If the srcBLen is not a multiple of 4,
* the blockSize2 loop cannot be unrolled by 4 */
blkCnt = blockSize2;
while (blkCnt > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Loop over srcBLen */
k = srcBLen;
while (k > 0U)
{
/* Perform the multiply-accumulate */
sum += ((q15_t) * px++ * *py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q7_t) (__SSAT(sum >> 7, 8));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Increment the MAC count */
count++;
/* Update the inputA and inputB pointers for next MAC calculation */
px = pIn1 + count;
py = pIn2;
/* Decrement the loop counter */
blkCnt--;
}
}
/* --------------------------
* Initializations of stage3
* -------------------------*/
/* sum += x[srcALen-srcBLen+1] * y[0] + x[srcALen-srcBLen+2] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* sum += x[srcALen-srcBLen+2] * y[0] + x[srcALen-srcBLen+3] * y[1] +...+ x[srcALen-1] * y[srcBLen-1]
* ....
* sum += x[srcALen-2] * y[0] + x[srcALen-1] * y[1]
* sum += x[srcALen-1] * y[0]
*/
/* In this stage the MAC operations are decreased by 1 for every iteration.
The count variable holds the number of MAC operations performed */
count = srcBLen - 1U;
/* Working pointer of inputA */
pSrc1 = pIn1 + (srcALen - (srcBLen - 1U));
px = pSrc1;
/* Working pointer of inputB */
py = pIn2;
/* -------------------
* Stage3 process
* ------------------*/
while (blockSize3 > 0U)
{
/* Accumulator is made zero for every iteration */
sum = 0;
/* Apply loop unrolling and compute 4 MACs simultaneously. */
k = count >> 2U;
/* First part of the processing with loop unrolling. Compute 4 MACs at a time.
** a second loop below computes MACs for the remaining 1 to 3 samples. */
while (k > 0U)
{
/* x[srcALen - srcBLen + 1] , x[srcALen - srcBLen + 2] */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[0] , y[1] */
in1 = (q15_t) * py++;
in2 = (q15_t) * py++;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* sum += x[srcALen - srcBLen + 1] * y[0] */
/* sum += x[srcALen - srcBLen + 2] * y[1] */
sum = __SMLAD(input1, input2, sum);
/* x[srcALen - srcBLen + 3] , x[srcALen - srcBLen + 4] */
in1 = (q15_t) * px++;
in2 = (q15_t) * px++;
input1 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* y[2] , y[3] */
in1 = (q15_t) * py++;
in2 = (q15_t) * py++;
input2 = ((q31_t) in1 & 0x0000FFFF) | ((q31_t) in2 << 16);
/* sum += x[srcALen - srcBLen + 3] * y[2] */
/* sum += x[srcALen - srcBLen + 4] * y[3] */
sum = __SMLAD(input1, input2, sum);
/* Decrement the loop counter */
k--;
}
/* If the count is not a multiple of 4, compute any remaining MACs here.
** No loop unrolling is used. */
k = count % 0x4U;
while (k > 0U)
{
/* Perform the multiply-accumulates */
sum += ((q15_t) * px++ * *py++);
/* Decrement the loop counter */
k--;
}
/* Store the result in the accumulator in the destination buffer. */
*pOut = (q7_t) (__SSAT(sum >> 7, 8));
/* Destination pointer is updated according to the address modifier, inc */
pOut += inc;
/* Update the inputA and inputB pointers for next MAC calculation */
px = ++pSrc1;
py = pIn2;
/* Decrement the MAC count */
count--;
/* Decrement the loop counter */
blockSize3--;
}
#else
/* Run the below code for Cortex-M0 */
q7_t *pIn1 = pSrcA; /* inputA pointer */
q7_t *pIn2 = pSrcB + (srcBLen - 1U); /* inputB pointer */
q31_t sum; /* Accumulator */
uint32_t i = 0U, j; /* loop counters */
uint32_t inv = 0U; /* Reverse order flag */
uint32_t tot = 0U; /* Length */
/* The algorithm implementation is based on the lengths of the inputs. */
/* srcB is always made to slide across srcA. */
/* So srcBLen is always considered as shorter or equal to srcALen */
/* But CORR(x, y) is reverse of CORR(y, x) */
/* So, when srcBLen > srcALen, output pointer is made to point to the end of the output buffer */
/* and a varaible, inv is set to 1 */
/* If lengths are not equal then zero pad has to be done to make the two
* inputs of same length. But to improve the performance, we include zeroes
* in the output instead of zero padding either of the the inputs*/
/* If srcALen > srcBLen, (srcALen - srcBLen) zeroes has to included in the
* starting of the output buffer */
/* If srcALen < srcBLen, (srcALen - srcBLen) zeroes has to included in the
* ending of the output buffer */
/* Once the zero padding is done the remaining of the output is calcualted
* using convolution but with the shorter signal time shifted. */
/* Calculate the length of the remaining sequence */
tot = ((srcALen + srcBLen) - 2U);
if (srcALen > srcBLen)
{
/* Calculating the number of zeros to be padded to the output */
j = srcALen - srcBLen;
/* Initialise the pointer after zero padding */
pDst += j;
}
else if (srcALen < srcBLen)
{
/* Initialization to inputB pointer */
pIn1 = pSrcB;
/* Initialization to the end of inputA pointer */
pIn2 = pSrcA + (srcALen - 1U);
/* Initialisation of the pointer after zero padding */
pDst = pDst + tot;
/* Swapping the lengths */
j = srcALen;
srcALen = srcBLen;
srcBLen = j;
/* Setting the reverse flag */
inv = 1;
}
/* Loop to calculate convolution for output length number of times */
for (i = 0U; i <= tot; i++)
{
/* Initialize sum with zero to carry on MAC operations */
sum = 0;
/* Loop to perform MAC operations according to convolution equation */
for (j = 0U; j <= i; j++)
{
/* Check the array limitations */
if ((((i - j) < srcBLen) && (j < srcALen)))
{
/* z[i] += x[i-j] * y[j] */
sum += ((q15_t) pIn1[j] * pIn2[-((int32_t) i - j)]);
}
}
/* Store the output in the destination buffer */
if (inv == 1)
*pDst-- = (q7_t) __SSAT((sum >> 7U), 8U);
else
*pDst++ = (q7_t) __SSAT((sum >> 7U), 8U);
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of Corr group
*/

View File

@@ -1,512 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_decimate_f32.c
* Description: FIR decimation for floating-point sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup FIR_decimate Finite Impulse Response (FIR) Decimator
*
* These functions combine an FIR filter together with a decimator.
* They are used in multirate systems for reducing the sample rate of a signal without introducing aliasing distortion.
* Conceptually, the functions are equivalent to the block diagram below:
* \image html FIRDecimator.gif "Components included in the FIR Decimator functions"
* When decimating by a factor of <code>M</code>, the signal should be prefiltered by a lowpass filter with a normalized
* cutoff frequency of <code>1/M</code> in order to prevent aliasing distortion.
* The user of the function is responsible for providing the filter coefficients.
*
* The FIR decimator functions provided in the CMSIS DSP Library combine the FIR filter and the decimator in an efficient manner.
* Instead of calculating all of the FIR filter outputs and discarding <code>M-1</code> out of every <code>M</code>, only the
* samples output by the decimator are computed.
* The functions operate on blocks of input and output data.
* <code>pSrc</code> points to an array of <code>blockSize</code> input values and
* <code>pDst</code> points to an array of <code>blockSize/M</code> output values.
* In order to have an integer number of output samples <code>blockSize</code>
* must always be a multiple of the decimation factor <code>M</code>.
*
* The library provides separate functions for Q15, Q31 and floating-point data types.
*
* \par Algorithm:
* The FIR portion of the algorithm uses the standard form filter:
* <pre>
* y[n] = b[0] * x[n] + b[1] * x[n-1] + b[2] * x[n-2] + ...+ b[numTaps-1] * x[n-numTaps+1]
* </pre>
* where, <code>b[n]</code> are the filter coefficients.
* \par
* The <code>pCoeffs</code> points to a coefficient array of size <code>numTaps</code>.
* Coefficients are stored in time reversed order.
* \par
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to a state array of size <code>numTaps + blockSize - 1</code>.
* Samples in the state buffer are stored in the order:
* \par
* <pre>
* {x[n-numTaps+1], x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2]....x[0], x[1], ..., x[blockSize-1]}
* </pre>
* The state variables are updated after each block of data is processed, the coefficients are untouched.
*
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable array should be allocated separately.
* There are separate instance structure declarations for each of the 3 supported data types.
*
* \par Initialization Functions
* There is also an associated initialization function for each data type.
* The initialization function performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* - Checks to make sure that the size of the input is a multiple of the decimation factor.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numTaps, pCoeffs, M (decimation factor), pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* The code below statically initializes each of the 3 different data type filter instance structures
* <pre>
*arm_fir_decimate_instance_f32 S = {M, numTaps, pCoeffs, pState};
*arm_fir_decimate_instance_q31 S = {M, numTaps, pCoeffs, pState};
*arm_fir_decimate_instance_q15 S = {M, numTaps, pCoeffs, pState};
* </pre>
* where <code>M</code> is the decimation factor; <code>numTaps</code> is the number of filter coefficients in the filter;
* <code>pCoeffs</code> is the address of the coefficient buffer;
* <code>pState</code> is the address of the state buffer.
* Be sure to set the values in the state buffer to zeros when doing static initialization.
*
* \par Fixed-Point Behavior
* Care must be taken when using the fixed-point versions of the FIR decimate filter functions.
* In particular, the overflow and saturation behavior of the accumulator used in each function must be considered.
* Refer to the function specific documentation below for usage guidelines.
*/
/**
* @addtogroup FIR_decimate
* @{
*/
/**
* @brief Processing function for the floating-point FIR decimator.
* @param[in] *S points to an instance of the floating-point FIR decimator structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*/
void arm_fir_decimate_f32(
const arm_fir_decimate_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *pStateCurnt; /* Points to the current sample of the state */
float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */
float32_t sum0; /* Accumulator */
float32_t x0, c0; /* Temporary variables to hold state and coefficient values */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t i, tapCnt, blkCnt, outBlockSize = blockSize / S->M; /* Loop counters */
#if defined (ARM_MATH_DSP)
uint32_t blkCntN4;
float32_t *px0, *px1, *px2, *px3;
float32_t acc0, acc1, acc2, acc3;
float32_t x1, x2, x3;
/* Run the below code for Cortex-M4 and Cortex-M3 */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize / 4;
blkCntN4 = outBlockSize - (4 * blkCnt);
while (blkCnt > 0U)
{
/* Copy 4 * decimation factor number of new input samples into the state buffer */
i = 4 * S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulators to zero */
acc0 = 0.0f;
acc1 = 0.0f;
acc2 = 0.0f;
acc3 = 0.0f;
/* Initialize state pointer for all the samples */
px0 = pState;
px1 = pState + S->M;
px2 = pState + 2 * S->M;
px3 = pState + 3 * S->M;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the b[numTaps-1] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-1] sample for acc0 */
x0 = *(px0++);
/* Read x[n-numTaps-1] sample for acc1 */
x1 = *(px1++);
/* Read x[n-numTaps-1] sample for acc2 */
x2 = *(px2++);
/* Read x[n-numTaps-1] sample for acc3 */
x3 = *(px3++);
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
acc2 += x2 * c0;
acc3 += x3 * c0;
/* Read the b[numTaps-2] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-2] sample for acc0, acc1, acc2, acc3 */
x0 = *(px0++);
x1 = *(px1++);
x2 = *(px2++);
x3 = *(px3++);
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
acc2 += x2 * c0;
acc3 += x3 * c0;
/* Read the b[numTaps-3] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-3] sample acc0, acc1, acc2, acc3 */
x0 = *(px0++);
x1 = *(px1++);
x2 = *(px2++);
x3 = *(px3++);
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
acc2 += x2 * c0;
acc3 += x3 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-4] sample acc0, acc1, acc2, acc3 */
x0 = *(px0++);
x1 = *(px1++);
x2 = *(px2++);
x3 = *(px3++);
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
acc2 += x2 * c0;
acc3 += x3 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch state variables for acc0, acc1, acc2, acc3 */
x0 = *(px0++);
x1 = *(px1++);
x2 = *(px2++);
x3 = *(px3++);
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
acc2 += x2 * c0;
acc3 += x3 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + 4 * S->M;
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = acc0;
*pDst++ = acc1;
*pDst++ = acc2;
*pDst++ = acc3;
/* Decrement the loop counter */
blkCnt--;
}
while (blkCntN4 > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
sum0 = 0.0f;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the b[numTaps-1] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-1] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-2] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-2] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-3] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-3] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-4] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = sum0;
/* Decrement the loop counter */
blkCntN4--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = (numTaps - 1U) >> 2;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
i = (numTaps - 1U) % 0x04U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
#else
/* Run the below code for Cortex-M0 */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize;
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
sum0 = 0.0f;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = sum0;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the start of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Copy numTaps number of values */
i = (numTaps - 1U);
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR_decimate group
*/

View File

@@ -1,586 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_decimate_fast_q15.c
* Description: Fast Q15 FIR Decimator
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_decimate
* @{
*/
/**
* @brief Processing function for the Q15 FIR decimator (fast variant) for Cortex-M3 and Cortex-M4.
* @param[in] *S points to an instance of the Q15 FIR decimator structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of input samples to process per call.
* @return none
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, state buffers should be aligned by 32-bit
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* This fast version uses a 32-bit accumulator with 2.30 format.
* The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around and distorts the result.
* In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (log2 is read as log to the base 2).
* The 2.30 accumulator is then truncated to 2.15 format and saturated to yield the 1.15 result.
*
* \par
* Refer to the function <code>arm_fir_decimate_q15()</code> for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion.
* Both the slow and the fast versions use the same instance structure.
* Use the function <code>arm_fir_decimate_init_q15()</code> to initialize the filter structure.
*/
#ifndef UNALIGNED_SUPPORT_DISABLE
void arm_fir_decimate_fast_q15(
const arm_fir_decimate_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *px; /* Temporary pointer for state buffer */
q15_t *pb; /* Temporary pointer coefficient buffer */
q31_t x0, x1, c0, c1; /* Temporary variables to hold state and coefficient values */
q31_t sum0; /* Accumulators */
q31_t acc0, acc1;
q15_t *px0, *px1;
uint32_t blkCntN3;
uint32_t numTaps = S->numTaps; /* Number of taps */
uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize / 2;
blkCntN3 = outBlockSize - (2 * blkCnt);
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = 2 * S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
acc0 = 0;
acc1 = 0;
/* Initialize state pointer */
px0 = pState;
px1 = pState + S->M;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the Read b[numTaps-1] and b[numTaps-2] coefficients */
c0 = *__SIMD32(pb)++;
/* Read x[n-numTaps-1] and x[n-numTaps-2]sample */
x0 = *__SIMD32(px0)++;
x1 = *__SIMD32(px1)++;
/* Perform the multiply-accumulate */
acc0 = __SMLAD(x0, c0, acc0);
acc1 = __SMLAD(x1, c0, acc1);
/* Read the b[numTaps-3] and b[numTaps-4] coefficient */
c0 = *__SIMD32(pb)++;
/* Read x[n-numTaps-2] and x[n-numTaps-3] sample */
x0 = *__SIMD32(px0)++;
x1 = *__SIMD32(px1)++;
/* Perform the multiply-accumulate */
acc0 = __SMLAD(x0, c0, acc0);
acc1 = __SMLAD(x1, c0, acc1);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 = __SMLAD(x0, c0, acc0);
acc1 = __SMLAD(x1, c0, acc1);
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M * 2;
/* Store filter output, smlad returns the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16));
*pDst++ = (q15_t) (__SSAT((acc1 >> 15), 16));
/* Decrement the loop counter */
blkCnt--;
}
while (blkCntN3 > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/*Set sum to zero */
sum0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the Read b[numTaps-1] and b[numTaps-2] coefficients */
c0 = *__SIMD32(pb)++;
/* Read x[n-numTaps-1] and x[n-numTaps-2]sample */
x0 = *__SIMD32(px)++;
/* Read the b[numTaps-3] and b[numTaps-4] coefficient */
c1 = *__SIMD32(pb)++;
/* Perform the multiply-accumulate */
sum0 = __SMLAD(x0, c0, sum0);
/* Read x[n-numTaps-2] and x[n-numTaps-3] sample */
x0 = *__SIMD32(px)++;
/* Perform the multiply-accumulate */
sum0 = __SMLAD(x0, c1, sum0);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 = __SMLAD(x0, c0, sum0);
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* Store filter output, smlad returns the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16));
/* Decrement the loop counter */
blkCntN3--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = (numTaps - 1U) >> 2U;
/* copy data */
while (i > 0U)
{
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
/* Decrement the loop counter */
i--;
}
i = (numTaps - 1U) % 0x04U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
}
#else
void arm_fir_decimate_fast_q15(
const arm_fir_decimate_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *px; /* Temporary pointer for state buffer */
q15_t *pb; /* Temporary pointer coefficient buffer */
q15_t x0, x1, c0; /* Temporary variables to hold state and coefficient values */
q31_t sum0; /* Accumulators */
q31_t acc0, acc1;
q15_t *px0, *px1;
uint32_t blkCntN3;
uint32_t numTaps = S->numTaps; /* Number of taps */
uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize / 2;
blkCntN3 = outBlockSize - (2 * blkCnt);
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = 2 * S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
acc0 = 0;
acc1 = 0;
/* Initialize state pointer */
px0 = pState;
px1 = pState + S->M;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the Read b[numTaps-1] coefficients */
c0 = *pb++;
/* Read x[n-numTaps-1] for sample 0 and for sample 1 */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Read the b[numTaps-2] coefficient */
c0 = *pb++;
/* Read x[n-numTaps-2] for sample 0 and sample 1 */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Read the b[numTaps-3] coefficients */
c0 = *pb++;
/* Read x[n-numTaps-3] for sample 0 and sample 1 */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *pb++;
/* Read x[n-numTaps-4] for sample 0 and sample 1 */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M * 2;
/* Store filter output, smlad returns the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16));
*pDst++ = (q15_t) (__SSAT((acc1 >> 15), 16));
/* Decrement the loop counter */
blkCnt--;
}
while (blkCntN3 > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/*Set sum to zero */
sum0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the Read b[numTaps-1] coefficients */
c0 = *pb++;
/* Read x[n-numTaps-1] and sample */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-2] coefficient */
c0 = *pb++;
/* Read x[n-numTaps-2] and sample */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-3] coefficients */
c0 = *pb++;
/* Read x[n-numTaps-3] sample */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *pb++;
/* Read x[n-numTaps-4] sample */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* Store filter output, smlad returns the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16));
/* Decrement the loop counter */
blkCntN3--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = (numTaps - 1U) >> 2U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
i = (numTaps - 1U) % 0x04U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/**
* @} end of FIR_decimate group
*/

View File

@@ -1,339 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_decimate_fast_q31.c
* Description: Fast Q31 FIR Decimator
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_decimate
* @{
*/
/**
* @brief Processing function for the Q31 FIR decimator (fast variant) for Cortex-M3 and Cortex-M4.
* @param[in] *S points to an instance of the Q31 FIR decimator structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of input samples to process per call.
* @return none
*
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* This function is optimized for speed at the expense of fixed-point precision and overflow protection.
* The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format.
* These intermediate results are added to a 2.30 accumulator.
* Finally, the accumulator is saturated and converted to a 1.31 result.
* The fast version has the same overflow behavior as the standard version and provides less precision since it discards the low 32 bits of each multiplication result.
* In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (where log2 is read as log to the base 2).
*
* \par
* Refer to the function <code>arm_fir_decimate_q31()</code> for a slower implementation of this function which uses a 64-bit accumulator to provide higher precision.
* Both the slow and the fast versions use the same instance structure.
* Use the function <code>arm_fir_decimate_init_q31()</code> to initialize the filter structure.
*/
void arm_fir_decimate_fast_q31(
arm_fir_decimate_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *pStateCurnt; /* Points to the current sample of the state */
q31_t x0, c0; /* Temporary variables to hold state and coefficient values */
q31_t *px; /* Temporary pointers for state buffer */
q31_t *pb; /* Temporary pointers for coefficient buffer */
q31_t sum0; /* Accumulator */
uint32_t numTaps = S->numTaps; /* Number of taps */
uint32_t i, tapCnt, blkCnt, outBlockSize = blockSize / S->M; /* Loop counters */
uint32_t blkCntN2;
q31_t x1;
q31_t acc0, acc1;
q31_t *px0, *px1;
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize / 2;
blkCntN2 = outBlockSize - (2 * blkCnt);
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = 2 * S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
acc0 = 0;
acc1 = 0;
/* Initialize state pointer */
px0 = pState;
px1 = pState + S->M;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the b[numTaps-1] coefficient */
c0 = *(pb);
/* Read x[n-numTaps-1] for sample 0 sample 1 */
x0 = *(px0);
x1 = *(px1);
/* Perform the multiply-accumulate */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* Read the b[numTaps-2] coefficient */
c0 = *(pb + 1U);
/* Read x[n-numTaps-2] for sample 0 sample 1 */
x0 = *(px0 + 1U);
x1 = *(px1 + 1U);
/* Perform the multiply-accumulate */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* Read the b[numTaps-3] coefficient */
c0 = *(pb + 2U);
/* Read x[n-numTaps-3] for sample 0 sample 1 */
x0 = *(px0 + 2U);
x1 = *(px1 + 2U);
pb += 4U;
/* Perform the multiply-accumulate */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* Read the b[numTaps-4] coefficient */
c0 = *(pb - 1U);
/* Read x[n-numTaps-4] for sample 0 sample 1 */
x0 = *(px0 + 3U);
x1 = *(px1 + 3U);
/* Perform the multiply-accumulate */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* update state pointers */
px0 += 4U;
px1 += 4U;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x0 = *(px0++);
x1 = *(px1++);
/* Perform the multiply-accumulate */
acc0 = (q31_t) ((((q63_t) acc0 << 32) + ((q63_t) x0 * c0)) >> 32);
acc1 = (q31_t) ((((q63_t) acc1 << 32) + ((q63_t) x1 * c0)) >> 32);
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M * 2;
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = (q31_t) (acc0 << 1);
*pDst++ = (q31_t) (acc1 << 1);
/* Decrement the loop counter */
blkCnt--;
}
while (blkCntN2 > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
sum0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the b[numTaps-1] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-1] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* Read the b[numTaps-2] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-2] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* Read the b[numTaps-3] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-3] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-4] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 = (q31_t) ((((q63_t) sum0 << 32) + ((q63_t) x0 * c0)) >> 32);
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = (q31_t) (sum0 << 1);
/* Decrement the loop counter */
blkCntN2--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = (numTaps - 1U) >> 2U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
i = (numTaps - 1U) % 0x04U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
}
/**
* @} end of FIR_decimate group
*/

View File

@@ -1,105 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_decimate_init_f32.c
* Description: Floating-point FIR Decimator initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_decimate
* @{
*/
/**
* @brief Initialization function for the floating-point FIR decimator.
* @param[in,out] *S points to an instance of the floating-point FIR decimator structure.
* @param[in] numTaps number of coefficients in the filter.
* @param[in] M decimation factor.
* @param[in] *pCoeffs points to the filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of input samples to process per call.
* @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if
* <code>blockSize</code> is not a multiple of <code>M</code>.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>numTaps+blockSize-1</code> words where <code>blockSize</code> is the number of input samples passed to <code>arm_fir_decimate_f32()</code>.
* <code>M</code> is the decimation factor.
*/
arm_status arm_fir_decimate_init_f32(
arm_fir_decimate_instance_f32 * S,
uint16_t numTaps,
uint8_t M,
float32_t * pCoeffs,
float32_t * pState,
uint32_t blockSize)
{
arm_status status;
/* The size of the input block must be a multiple of the decimation factor */
if ((blockSize % M) != 0U)
{
/* Set status as ARM_MATH_LENGTH_ERROR */
status = ARM_MATH_LENGTH_ERROR;
}
else
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always (blockSize + numTaps - 1) */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
/* Assign Decimation Factor */
S->M = M;
status = ARM_MATH_SUCCESS;
}
return (status);
}
/**
* @} end of FIR_decimate group
*/

View File

@@ -1,107 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_decimate_init_q15.c
* Description: Initialization function for the Q15 FIR Decimator
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_decimate
* @{
*/
/**
* @brief Initialization function for the Q15 FIR decimator.
* @param[in,out] *S points to an instance of the Q15 FIR decimator structure.
* @param[in] numTaps number of coefficients in the filter.
* @param[in] M decimation factor.
* @param[in] *pCoeffs points to the filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of input samples to process per call.
* @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if
* <code>blockSize</code> is not a multiple of <code>M</code>.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>numTaps+blockSize-1</code> words where <code>blockSize</code> is the number of input samples
* to the call <code>arm_fir_decimate_q15()</code>.
* <code>M</code> is the decimation factor.
*/
arm_status arm_fir_decimate_init_q15(
arm_fir_decimate_instance_q15 * S,
uint16_t numTaps,
uint8_t M,
q15_t * pCoeffs,
q15_t * pState,
uint32_t blockSize)
{
arm_status status;
/* The size of the input block must be a multiple of the decimation factor */
if ((blockSize % M) != 0U)
{
/* Set status as ARM_MATH_LENGTH_ERROR */
status = ARM_MATH_LENGTH_ERROR;
}
else
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear the state buffer. The size of buffer is always (blockSize + numTaps - 1) */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
/* Assign Decimation factor */
S->M = M;
status = ARM_MATH_SUCCESS;
}
return (status);
}
/**
* @} end of FIR_decimate group
*/

View File

@@ -1,105 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_decimate_init_q31.c
* Description: Initialization function for Q31 FIR Decimation filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_decimate
* @{
*/
/**
* @brief Initialization function for the Q31 FIR decimator.
* @param[in,out] *S points to an instance of the Q31 FIR decimator structure.
* @param[in] numTaps number of coefficients in the filter.
* @param[in] M decimation factor.
* @param[in] *pCoeffs points to the filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of input samples to process per call.
* @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if
* <code>blockSize</code> is not a multiple of <code>M</code>.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>numTaps+blockSize-1</code> words where <code>blockSize</code> is the number of input samples passed to <code>arm_fir_decimate_q31()</code>.
* <code>M</code> is the decimation factor.
*/
arm_status arm_fir_decimate_init_q31(
arm_fir_decimate_instance_q31 * S,
uint16_t numTaps,
uint8_t M,
q31_t * pCoeffs,
q31_t * pState,
uint32_t blockSize)
{
arm_status status;
/* The size of the input block must be a multiple of the decimation factor */
if ((blockSize % M) != 0U)
{
/* Set status as ARM_MATH_LENGTH_ERROR */
status = ARM_MATH_LENGTH_ERROR;
}
else
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear the state buffer. The size is always (blockSize + numTaps - 1) */
memset(pState, 0, (numTaps + (blockSize - 1)) * sizeof(q31_t));
/* Assign state pointer */
S->pState = pState;
/* Assign Decimation factor */
S->M = M;
status = ARM_MATH_SUCCESS;
}
return (status);
}
/**
* @} end of FIR_decimate group
*/

View File

@@ -1,684 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_decimate_q15.c
* Description: Q15 FIR Decimator
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_decimate
* @{
*/
/**
* @brief Processing function for the Q15 FIR decimator.
* @param[in] *S points to an instance of the Q15 FIR decimator structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the location where the output result is written.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved.
* After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits.
* Lastly, the accumulator is saturated to yield a result in 1.15 format.
*
* \par
* Refer to the function <code>arm_fir_decimate_fast_q15()</code> for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4.
*/
#if defined (ARM_MATH_DSP)
#ifndef UNALIGNED_SUPPORT_DISABLE
void arm_fir_decimate_q15(
const arm_fir_decimate_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *px; /* Temporary pointer for state buffer */
q15_t *pb; /* Temporary pointer coefficient buffer */
q31_t x0, x1, c0, c1; /* Temporary variables to hold state and coefficient values */
q63_t sum0; /* Accumulators */
q63_t acc0, acc1;
q15_t *px0, *px1;
uint32_t blkCntN3;
uint32_t numTaps = S->numTaps; /* Number of taps */
uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize / 2;
blkCntN3 = outBlockSize - (2 * blkCnt);
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = 2 * S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
acc0 = 0;
acc1 = 0;
/* Initialize state pointer */
px0 = pState;
px1 = pState + S->M;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the Read b[numTaps-1] and b[numTaps-2] coefficients */
c0 = *__SIMD32(pb)++;
/* Read x[n-numTaps-1] and x[n-numTaps-2]sample */
x0 = *__SIMD32(px0)++;
x1 = *__SIMD32(px1)++;
/* Perform the multiply-accumulate */
acc0 = __SMLALD(x0, c0, acc0);
acc1 = __SMLALD(x1, c0, acc1);
/* Read the b[numTaps-3] and b[numTaps-4] coefficient */
c0 = *__SIMD32(pb)++;
/* Read x[n-numTaps-2] and x[n-numTaps-3] sample */
x0 = *__SIMD32(px0)++;
x1 = *__SIMD32(px1)++;
/* Perform the multiply-accumulate */
acc0 = __SMLALD(x0, c0, acc0);
acc1 = __SMLALD(x1, c0, acc1);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 = __SMLALD(x0, c0, acc0);
acc1 = __SMLALD(x1, c0, acc1);
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M * 2;
/* Store filter output, smlad returns the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16));
*pDst++ = (q15_t) (__SSAT((acc1 >> 15), 16));
/* Decrement the loop counter */
blkCnt--;
}
while (blkCntN3 > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/*Set sum to zero */
sum0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the Read b[numTaps-1] and b[numTaps-2] coefficients */
c0 = *__SIMD32(pb)++;
/* Read x[n-numTaps-1] and x[n-numTaps-2]sample */
x0 = *__SIMD32(px)++;
/* Read the b[numTaps-3] and b[numTaps-4] coefficient */
c1 = *__SIMD32(pb)++;
/* Perform the multiply-accumulate */
sum0 = __SMLALD(x0, c0, sum0);
/* Read x[n-numTaps-2] and x[n-numTaps-3] sample */
x0 = *__SIMD32(px)++;
/* Perform the multiply-accumulate */
sum0 = __SMLALD(x0, c1, sum0);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 = __SMLALD(x0, c0, sum0);
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* Store filter output, smlad returns the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16));
/* Decrement the loop counter */
blkCntN3--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = (numTaps - 1U) >> 2U;
/* copy data */
while (i > 0U)
{
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
/* Decrement the loop counter */
i--;
}
i = (numTaps - 1U) % 0x04U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
}
#else
void arm_fir_decimate_q15(
const arm_fir_decimate_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *px; /* Temporary pointer for state buffer */
q15_t *pb; /* Temporary pointer coefficient buffer */
q15_t x0, x1, c0; /* Temporary variables to hold state and coefficient values */
q63_t sum0; /* Accumulators */
q63_t acc0, acc1;
q15_t *px0, *px1;
uint32_t blkCntN3;
uint32_t numTaps = S->numTaps; /* Number of taps */
uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize / 2;
blkCntN3 = outBlockSize - (2 * blkCnt);
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = 2 * S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
acc0 = 0;
acc1 = 0;
/* Initialize state pointer */
px0 = pState;
px1 = pState + S->M;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the Read b[numTaps-1] coefficients */
c0 = *pb++;
/* Read x[n-numTaps-1] for sample 0 and for sample 1 */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Read the b[numTaps-2] coefficient */
c0 = *pb++;
/* Read x[n-numTaps-2] for sample 0 and sample 1 */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Read the b[numTaps-3] coefficients */
c0 = *pb++;
/* Read x[n-numTaps-3] for sample 0 and sample 1 */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *pb++;
/* Read x[n-numTaps-4] for sample 0 and sample 1 */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px0++;
x1 = *px1++;
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M * 2;
/* Store filter output, smlad returns the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16));
*pDst++ = (q15_t) (__SSAT((acc1 >> 15), 16));
/* Decrement the loop counter */
blkCnt--;
}
while (blkCntN3 > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/*Set sum to zero */
sum0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the Read b[numTaps-1] coefficients */
c0 = *pb++;
/* Read x[n-numTaps-1] and sample */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-2] coefficient */
c0 = *pb++;
/* Read x[n-numTaps-2] and sample */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-3] coefficients */
c0 = *pb++;
/* Read x[n-numTaps-3] sample */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *pb++;
/* Read x[n-numTaps-4] sample */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* Store filter output, smlad returns the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16));
/* Decrement the loop counter */
blkCntN3--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = (numTaps - 1U) >> 2U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
i = (numTaps - 1U) % 0x04U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
#else
void arm_fir_decimate_q15(
const arm_fir_decimate_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *px; /* Temporary pointer for state buffer */
q15_t *pb; /* Temporary pointer coefficient buffer */
q31_t x0, c0; /* Temporary variables to hold state and coefficient values */
q63_t sum0; /* Accumulators */
uint32_t numTaps = S->numTaps; /* Number of taps */
uint32_t i, blkCnt, tapCnt, outBlockSize = blockSize / S->M; /* Loop counters */
/* Run the below code for Cortex-M0 */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize;
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/*Set sum to zero */
sum0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += (q31_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/*Store filter output , smlad will return the values in 2.14 format */
/* so downsacle by 15 to get output in 1.15 */
*pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16));
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the start of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = numTaps - 1U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
}
#endif /* #if defined (ARM_MATH_DSP) */
/**
* @} end of FIR_decimate group
*/

View File

@@ -1,299 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_decimate_q31.c
* Description: Q31 FIR Decimator
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_decimate
* @{
*/
/**
* @brief Processing function for the Q31 FIR decimator.
* @param[in] *S points to an instance of the Q31 FIR decimator structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of input samples to process per call.
* @return none
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around rather than clip.
* In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits (where log2 is read as log to the base 2).
* After all multiply-accumulates are performed, the 2.62 accumulator is truncated to 1.32 format and then saturated to 1.31 format.
*
* \par
* Refer to the function <code>arm_fir_decimate_fast_q31()</code> for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4.
*/
void arm_fir_decimate_q31(
const arm_fir_decimate_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *pStateCurnt; /* Points to the current sample of the state */
q31_t x0, c0; /* Temporary variables to hold state and coefficient values */
q31_t *px; /* Temporary pointers for state buffer */
q31_t *pb; /* Temporary pointers for coefficient buffer */
q63_t sum0; /* Accumulator */
uint32_t numTaps = S->numTaps; /* Number of taps */
uint32_t i, tapCnt, blkCnt, outBlockSize = blockSize / S->M; /* Loop counters */
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize;
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
sum0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
while (tapCnt > 0U)
{
/* Read the b[numTaps-1] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-1] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the b[numTaps-2] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-2] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the b[numTaps-3] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-3] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-4] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x0 = *(px++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = (q31_t) (sum0 >> 31);
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = (numTaps - 1U) >> 2U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
i = (numTaps - 1U) % 0x04U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
#else
/* Run the below code for Cortex-M0 */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Total number of output samples to be computed */
blkCnt = outBlockSize;
while (blkCnt > 0U)
{
/* Copy decimation factor number of new input samples into the state buffer */
i = S->M;
do
{
*pStateCurnt++ = *pSrc++;
} while (--i);
/* Set accumulator to zero */
sum0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = pCoeffs;
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *pb++;
/* Fetch 1 state variable */
x0 = *px++;
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by the decimation factor
* to process the next group of decimation factor number samples */
pState = pState + S->M;
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = (q31_t) (sum0 >> 31);
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the start of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = numTaps - 1U;
/* copy data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR_decimate group
*/

View File

@@ -1,985 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_f32.c
* Description: Floating-point FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup FIR Finite Impulse Response (FIR) Filters
*
* This set of functions implements Finite Impulse Response (FIR) filters
* for Q7, Q15, Q31, and floating-point data types. Fast versions of Q15 and Q31 are also provided.
* The functions operate on blocks of input and output data and each call to the function processes
* <code>blockSize</code> samples through the filter. <code>pSrc</code> and
* <code>pDst</code> points to input and output arrays containing <code>blockSize</code> values.
*
* \par Algorithm:
* The FIR filter algorithm is based upon a sequence of multiply-accumulate (MAC) operations.
* Each filter coefficient <code>b[n]</code> is multiplied by a state variable which equals a previous input sample <code>x[n]</code>.
* <pre>
* y[n] = b[0] * x[n] + b[1] * x[n-1] + b[2] * x[n-2] + ...+ b[numTaps-1] * x[n-numTaps+1]
* </pre>
* \par
* \image html FIR.gif "Finite Impulse Response filter"
* \par
* <code>pCoeffs</code> points to a coefficient array of size <code>numTaps</code>.
* Coefficients are stored in time reversed order.
* \par
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to a state array of size <code>numTaps + blockSize - 1</code>.
* Samples in the state buffer are stored in the following order.
* \par
* <pre>
* {x[n-numTaps+1], x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2]....x[0], x[1], ..., x[blockSize-1]}
* </pre>
* \par
* Note that the length of the state buffer exceeds the length of the coefficient array by <code>blockSize-1</code>.
* The increased state buffer length allows circular addressing, which is traditionally used in the FIR filters,
* to be avoided and yields a significant speed improvement.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared.
* There are separate instance structure declarations for each of the 4 supported data types.
*
* \par Initialization Functions
* There is also an associated initialization function for each data type.
* The initialization function performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numTaps, pCoeffs, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros before static initialization.
* The code below statically initializes each of the 4 different data type filter instance structures
* <pre>
*arm_fir_instance_f32 S = {numTaps, pState, pCoeffs};
*arm_fir_instance_q31 S = {numTaps, pState, pCoeffs};
*arm_fir_instance_q15 S = {numTaps, pState, pCoeffs};
*arm_fir_instance_q7 S = {numTaps, pState, pCoeffs};
* </pre>
*
* where <code>numTaps</code> is the number of filter coefficients in the filter; <code>pState</code> is the address of the state buffer;
* <code>pCoeffs</code> is the address of the coefficient buffer.
*
* \par Fixed-Point Behavior
* Care must be taken when using the fixed-point versions of the FIR filter functions.
* In particular, the overflow and saturation behavior of the accumulator used in each function must be considered.
* Refer to the function specific documentation below for usage guidelines.
*/
/**
* @addtogroup FIR
* @{
*/
/**
*
* @param[in] *S points to an instance of the floating-point FIR filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
*/
#if defined(ARM_MATH_CM7)
void arm_fir_f32(
const arm_fir_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *pStateCurnt; /* Points to the current sample of the state */
float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */
float32_t acc0, acc1, acc2, acc3, acc4, acc5, acc6, acc7; /* Accumulators */
float32_t x0, x1, x2, x3, x4, x5, x6, x7, c0; /* Temporary variables to hold state and coefficient values */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t i, tapCnt, blkCnt; /* Loop counters */
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Apply loop unrolling and compute 8 output values simultaneously.
* The variables acc0 ... acc7 hold output values that are being computed:
*
* acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0]
* acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1]
* acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2]
* acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3]
*/
blkCnt = blockSize >> 3;
/* First part of the processing with loop unrolling. Compute 8 outputs at a time.
** a second loop below computes the remaining 1 to 7 samples. */
while (blkCnt > 0U)
{
/* Copy four new input samples into the state buffer */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Set all accumulators to zero */
acc0 = 0.0f;
acc1 = 0.0f;
acc2 = 0.0f;
acc3 = 0.0f;
acc4 = 0.0f;
acc5 = 0.0f;
acc6 = 0.0f;
acc7 = 0.0f;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* This is separated from the others to avoid
* a call to __aeabi_memmove which would be slower
*/
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Read the first seven samples from the state buffer: x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2] */
x0 = *px++;
x1 = *px++;
x2 = *px++;
x3 = *px++;
x4 = *px++;
x5 = *px++;
x6 = *px++;
/* Loop unrolling. Process 8 taps at a time. */
tapCnt = numTaps >> 3U;
/* Loop over the number of taps. Unroll by a factor of 8.
** Repeat until we've computed numTaps-8 coefficients. */
while (tapCnt > 0U)
{
/* Read the b[numTaps-1] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-3] sample */
x7 = *(px++);
/* acc0 += b[numTaps-1] * x[n-numTaps] */
acc0 += x0 * c0;
/* acc1 += b[numTaps-1] * x[n-numTaps-1] */
acc1 += x1 * c0;
/* acc2 += b[numTaps-1] * x[n-numTaps-2] */
acc2 += x2 * c0;
/* acc3 += b[numTaps-1] * x[n-numTaps-3] */
acc3 += x3 * c0;
/* acc4 += b[numTaps-1] * x[n-numTaps-4] */
acc4 += x4 * c0;
/* acc1 += b[numTaps-1] * x[n-numTaps-5] */
acc5 += x5 * c0;
/* acc2 += b[numTaps-1] * x[n-numTaps-6] */
acc6 += x6 * c0;
/* acc3 += b[numTaps-1] * x[n-numTaps-7] */
acc7 += x7 * c0;
/* Read the b[numTaps-2] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-4] sample */
x0 = *(px++);
/* Perform the multiply-accumulate */
acc0 += x1 * c0;
acc1 += x2 * c0;
acc2 += x3 * c0;
acc3 += x4 * c0;
acc4 += x5 * c0;
acc5 += x6 * c0;
acc6 += x7 * c0;
acc7 += x0 * c0;
/* Read the b[numTaps-3] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-5] sample */
x1 = *(px++);
/* Perform the multiply-accumulates */
acc0 += x2 * c0;
acc1 += x3 * c0;
acc2 += x4 * c0;
acc3 += x5 * c0;
acc4 += x6 * c0;
acc5 += x7 * c0;
acc6 += x0 * c0;
acc7 += x1 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
acc0 += x3 * c0;
acc1 += x4 * c0;
acc2 += x5 * c0;
acc3 += x6 * c0;
acc4 += x7 * c0;
acc5 += x0 * c0;
acc6 += x1 * c0;
acc7 += x2 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x3 = *(px++);
/* Perform the multiply-accumulates */
acc0 += x4 * c0;
acc1 += x5 * c0;
acc2 += x6 * c0;
acc3 += x7 * c0;
acc4 += x0 * c0;
acc5 += x1 * c0;
acc6 += x2 * c0;
acc7 += x3 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x4 = *(px++);
/* Perform the multiply-accumulates */
acc0 += x5 * c0;
acc1 += x6 * c0;
acc2 += x7 * c0;
acc3 += x0 * c0;
acc4 += x1 * c0;
acc5 += x2 * c0;
acc6 += x3 * c0;
acc7 += x4 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x5 = *(px++);
/* Perform the multiply-accumulates */
acc0 += x6 * c0;
acc1 += x7 * c0;
acc2 += x0 * c0;
acc3 += x1 * c0;
acc4 += x2 * c0;
acc5 += x3 * c0;
acc6 += x4 * c0;
acc7 += x5 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x6 = *(px++);
/* Perform the multiply-accumulates */
acc0 += x7 * c0;
acc1 += x0 * c0;
acc2 += x1 * c0;
acc3 += x2 * c0;
acc4 += x3 * c0;
acc5 += x4 * c0;
acc6 += x5 * c0;
acc7 += x6 * c0;
tapCnt--;
}
/* If the filter length is not a multiple of 8, compute the remaining filter taps */
tapCnt = numTaps % 0x8U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x7 = *(px++);
/* Perform the multiply-accumulates */
acc0 += x0 * c0;
acc1 += x1 * c0;
acc2 += x2 * c0;
acc3 += x3 * c0;
acc4 += x4 * c0;
acc5 += x5 * c0;
acc6 += x6 * c0;
acc7 += x7 * c0;
/* Reuse the present sample states for next sample */
x0 = x1;
x1 = x2;
x2 = x3;
x3 = x4;
x4 = x5;
x5 = x6;
x6 = x7;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by 8 to process the next group of 8 samples */
pState = pState + 8;
/* The results in the 8 accumulators, store in the destination buffer. */
*pDst++ = acc0;
*pDst++ = acc1;
*pDst++ = acc2;
*pDst++ = acc3;
*pDst++ = acc4;
*pDst++ = acc5;
*pDst++ = acc6;
*pDst++ = acc7;
blkCnt--;
}
/* If the blockSize is not a multiple of 8, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x8U;
while (blkCnt > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc0 = 0.0f;
/* Initialize state pointer */
px = pState;
/* Initialize Coefficient pointer */
pb = (pCoeffs);
i = numTaps;
/* Perform the multiply-accumulates */
do
{
acc0 += *px++ * *pb++;
i--;
} while (i > 0U);
/* The result is store in the destination buffer. */
*pDst++ = acc0;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the start of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
tapCnt = (numTaps - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#elif defined(ARM_MATH_CM0_FAMILY)
void arm_fir_f32(
const arm_fir_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *pStateCurnt; /* Points to the current sample of the state */
float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t i, tapCnt, blkCnt; /* Loop counters */
/* Run the below code for Cortex-M0 */
float32_t acc;
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Initialize blkCnt with blockSize */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc = 0.0f;
/* Initialize state pointer */
px = pState;
/* Initialize Coefficient pointer */
pb = pCoeffs;
i = numTaps;
/* Perform the multiply-accumulates */
do
{
/* acc = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] */
acc += *px++ * *pb++;
i--;
} while (i > 0U);
/* The result is store in the destination buffer. */
*pDst++ = acc;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the starting of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Copy numTaps number of values */
tapCnt = numTaps - 1U;
/* Copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#else
/* Run the below code for Cortex-M4 and Cortex-M3 */
void arm_fir_f32(
const arm_fir_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *pStateCurnt; /* Points to the current sample of the state */
float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */
float32_t acc0, acc1, acc2, acc3, acc4, acc5, acc6, acc7; /* Accumulators */
float32_t x0, x1, x2, x3, x4, x5, x6, x7, c0; /* Temporary variables to hold state and coefficient values */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t i, tapCnt, blkCnt; /* Loop counters */
float32_t p0,p1,p2,p3,p4,p5,p6,p7; /* Temporary product values */
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Apply loop unrolling and compute 8 output values simultaneously.
* The variables acc0 ... acc7 hold output values that are being computed:
*
* acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0]
* acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1]
* acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2]
* acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3]
*/
blkCnt = blockSize >> 3;
/* First part of the processing with loop unrolling. Compute 8 outputs at a time.
** a second loop below computes the remaining 1 to 7 samples. */
while (blkCnt > 0U)
{
/* Copy four new input samples into the state buffer */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Set all accumulators to zero */
acc0 = 0.0f;
acc1 = 0.0f;
acc2 = 0.0f;
acc3 = 0.0f;
acc4 = 0.0f;
acc5 = 0.0f;
acc6 = 0.0f;
acc7 = 0.0f;
/* Initialize state pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* This is separated from the others to avoid
* a call to __aeabi_memmove which would be slower
*/
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Read the first seven samples from the state buffer: x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2] */
x0 = *px++;
x1 = *px++;
x2 = *px++;
x3 = *px++;
x4 = *px++;
x5 = *px++;
x6 = *px++;
/* Loop unrolling. Process 8 taps at a time. */
tapCnt = numTaps >> 3U;
/* Loop over the number of taps. Unroll by a factor of 8.
** Repeat until we've computed numTaps-8 coefficients. */
while (tapCnt > 0U)
{
/* Read the b[numTaps-1] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-3] sample */
x7 = *(px++);
/* acc0 += b[numTaps-1] * x[n-numTaps] */
p0 = x0 * c0;
/* acc1 += b[numTaps-1] * x[n-numTaps-1] */
p1 = x1 * c0;
/* acc2 += b[numTaps-1] * x[n-numTaps-2] */
p2 = x2 * c0;
/* acc3 += b[numTaps-1] * x[n-numTaps-3] */
p3 = x3 * c0;
/* acc4 += b[numTaps-1] * x[n-numTaps-4] */
p4 = x4 * c0;
/* acc1 += b[numTaps-1] * x[n-numTaps-5] */
p5 = x5 * c0;
/* acc2 += b[numTaps-1] * x[n-numTaps-6] */
p6 = x6 * c0;
/* acc3 += b[numTaps-1] * x[n-numTaps-7] */
p7 = x7 * c0;
/* Read the b[numTaps-2] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-4] sample */
x0 = *(px++);
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
/* Perform the multiply-accumulate */
p0 = x1 * c0;
p1 = x2 * c0;
p2 = x3 * c0;
p3 = x4 * c0;
p4 = x5 * c0;
p5 = x6 * c0;
p6 = x7 * c0;
p7 = x0 * c0;
/* Read the b[numTaps-3] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-5] sample */
x1 = *(px++);
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
/* Perform the multiply-accumulates */
p0 = x2 * c0;
p1 = x3 * c0;
p2 = x4 * c0;
p3 = x5 * c0;
p4 = x6 * c0;
p5 = x7 * c0;
p6 = x0 * c0;
p7 = x1 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x2 = *(px++);
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
/* Perform the multiply-accumulates */
p0 = x3 * c0;
p1 = x4 * c0;
p2 = x5 * c0;
p3 = x6 * c0;
p4 = x7 * c0;
p5 = x0 * c0;
p6 = x1 * c0;
p7 = x2 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x3 = *(px++);
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
/* Perform the multiply-accumulates */
p0 = x4 * c0;
p1 = x5 * c0;
p2 = x6 * c0;
p3 = x7 * c0;
p4 = x0 * c0;
p5 = x1 * c0;
p6 = x2 * c0;
p7 = x3 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x4 = *(px++);
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
/* Perform the multiply-accumulates */
p0 = x5 * c0;
p1 = x6 * c0;
p2 = x7 * c0;
p3 = x0 * c0;
p4 = x1 * c0;
p5 = x2 * c0;
p6 = x3 * c0;
p7 = x4 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x5 = *(px++);
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
/* Perform the multiply-accumulates */
p0 = x6 * c0;
p1 = x7 * c0;
p2 = x0 * c0;
p3 = x1 * c0;
p4 = x2 * c0;
p5 = x3 * c0;
p6 = x4 * c0;
p7 = x5 * c0;
/* Read the b[numTaps-4] coefficient */
c0 = *(pb++);
/* Read x[n-numTaps-6] sample */
x6 = *(px++);
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
/* Perform the multiply-accumulates */
p0 = x7 * c0;
p1 = x0 * c0;
p2 = x1 * c0;
p3 = x2 * c0;
p4 = x3 * c0;
p5 = x4 * c0;
p6 = x5 * c0;
p7 = x6 * c0;
tapCnt--;
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
}
/* If the filter length is not a multiple of 8, compute the remaining filter taps */
tapCnt = numTaps % 0x8U;
while (tapCnt > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x7 = *(px++);
/* Perform the multiply-accumulates */
p0 = x0 * c0;
p1 = x1 * c0;
p2 = x2 * c0;
p3 = x3 * c0;
p4 = x4 * c0;
p5 = x5 * c0;
p6 = x6 * c0;
p7 = x7 * c0;
/* Reuse the present sample states for next sample */
x0 = x1;
x1 = x2;
x2 = x3;
x3 = x4;
x4 = x5;
x5 = x6;
x6 = x7;
acc0 += p0;
acc1 += p1;
acc2 += p2;
acc3 += p3;
acc4 += p4;
acc5 += p5;
acc6 += p6;
acc7 += p7;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance the state pointer by 8 to process the next group of 8 samples */
pState = pState + 8;
/* The results in the 8 accumulators, store in the destination buffer. */
*pDst++ = acc0;
*pDst++ = acc1;
*pDst++ = acc2;
*pDst++ = acc3;
*pDst++ = acc4;
*pDst++ = acc5;
*pDst++ = acc6;
*pDst++ = acc7;
blkCnt--;
}
/* If the blockSize is not a multiple of 8, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x8U;
while (blkCnt > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc0 = 0.0f;
/* Initialize state pointer */
px = pState;
/* Initialize Coefficient pointer */
pb = (pCoeffs);
i = numTaps;
/* Perform the multiply-accumulates */
do
{
acc0 += *px++ * *pb++;
i--;
} while (i > 0U);
/* The result is store in the destination buffer. */
*pDst++ = acc0;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the start of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
tapCnt = (numTaps - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#endif
/**
* @} end of FIR group
*/

View File

@@ -1,333 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_fast_q15.c
* Description: Q15 Fast FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @param[in] *S points to an instance of the Q15 FIR filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* This fast version uses a 32-bit accumulator with 2.30 format.
* The accumulator maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around and distorts the result.
* In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits.
* The 2.30 accumulator is then truncated to 2.15 format and saturated to yield the 1.15 result.
*
* \par
* Refer to the function <code>arm_fir_q15()</code> for a slower implementation of this function which uses 64-bit accumulation to avoid wrap around distortion. Both the slow and the fast versions use the same instance structure.
* Use the function <code>arm_fir_init_q15()</code> to initialize the filter structure.
*/
void arm_fir_fast_q15(
const arm_fir_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q31_t acc0, acc1, acc2, acc3; /* Accumulators */
q15_t *pb; /* Temporary pointer for coefficient buffer */
q15_t *px; /* Temporary q31 pointer for SIMD state buffer accesses */
q31_t x0, x1, x2, c0; /* Temporary variables to hold SIMD state and coefficient values */
uint32_t numTaps = S->numTaps; /* Number of taps in the filter */
uint32_t tapCnt, blkCnt; /* Loop counters */
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Apply loop unrolling and compute 4 output values simultaneously.
* The variables acc0 ... acc3 hold output values that are being computed:
*
* acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0]
* acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1]
* acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2]
* acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3]
*/
blkCnt = blockSize >> 2;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* Copy four new input samples into the state buffer.
** Use 32-bit SIMD to move the 16-bit data. Only requires two copies. */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Typecast q15_t pointer to q31_t pointer for state reading in q31_t */
px = pState;
/* Typecast q15_t pointer to q31_t pointer for coefficient reading in q31_t */
pb = pCoeffs;
/* Read the first two samples from the state buffer: x[n-N], x[n-N-1] */
x0 = *__SIMD32(px)++;
/* Read the third and forth samples from the state buffer: x[n-N-2], x[n-N-3] */
x2 = *__SIMD32(px)++;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-(numTaps%4) coefficients. */
tapCnt = numTaps >> 2;
while (tapCnt > 0)
{
/* Read the first two coefficients using SIMD: b[N] and b[N-1] coefficients */
c0 = *__SIMD32(pb)++;
/* acc0 += b[N] * x[n-N] + b[N-1] * x[n-N-1] */
acc0 = __SMLAD(x0, c0, acc0);
/* acc2 += b[N] * x[n-N-2] + b[N-1] * x[n-N-3] */
acc2 = __SMLAD(x2, c0, acc2);
/* pack x[n-N-1] and x[n-N-2] */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x2, x0, 0);
#else
x1 = __PKHBT(x0, x2, 0);
#endif
/* Read state x[n-N-4], x[n-N-5] */
x0 = _SIMD32_OFFSET(px);
/* acc1 += b[N] * x[n-N-1] + b[N-1] * x[n-N-2] */
acc1 = __SMLADX(x1, c0, acc1);
/* pack x[n-N-3] and x[n-N-4] */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x0, x2, 0);
#else
x1 = __PKHBT(x2, x0, 0);
#endif
/* acc3 += b[N] * x[n-N-3] + b[N-1] * x[n-N-4] */
acc3 = __SMLADX(x1, c0, acc3);
/* Read coefficients b[N-2], b[N-3] */
c0 = *__SIMD32(pb)++;
/* acc0 += b[N-2] * x[n-N-2] + b[N-3] * x[n-N-3] */
acc0 = __SMLAD(x2, c0, acc0);
/* Read state x[n-N-6], x[n-N-7] with offset */
x2 = _SIMD32_OFFSET(px + 2U);
/* acc2 += b[N-2] * x[n-N-4] + b[N-3] * x[n-N-5] */
acc2 = __SMLAD(x0, c0, acc2);
/* acc1 += b[N-2] * x[n-N-3] + b[N-3] * x[n-N-4] */
acc1 = __SMLADX(x1, c0, acc1);
/* pack x[n-N-5] and x[n-N-6] */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x2, x0, 0);
#else
x1 = __PKHBT(x0, x2, 0);
#endif
/* acc3 += b[N-2] * x[n-N-5] + b[N-3] * x[n-N-6] */
acc3 = __SMLADX(x1, c0, acc3);
/* Update state pointer for next state reading */
px += 4U;
/* Decrement tap count */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps.
** This is always be 2 taps since the filter length is even. */
if ((numTaps & 0x3U) != 0U)
{
/* Read last two coefficients */
c0 = *__SIMD32(pb)++;
/* Perform the multiply-accumulates */
acc0 = __SMLAD(x0, c0, acc0);
acc2 = __SMLAD(x2, c0, acc2);
/* pack state variables */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x2, x0, 0);
#else
x1 = __PKHBT(x0, x2, 0);
#endif
/* Read last state variables */
x0 = *__SIMD32(px);
/* Perform the multiply-accumulates */
acc1 = __SMLADX(x1, c0, acc1);
/* pack state variables */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x0, x2, 0);
#else
x1 = __PKHBT(x2, x0, 0);
#endif
/* Perform the multiply-accumulates */
acc3 = __SMLADX(x1, c0, acc3);
}
/* The results in the 4 accumulators are in 2.30 format. Convert to 1.15 with saturation.
** Then store the 4 outputs in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Advance the state pointer by 4 to process the next group of 4 samples */
pState = pState + 4U;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Copy two samples into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc0 = 0;
/* Use SIMD to hold states and coefficients */
px = pState;
pb = pCoeffs;
tapCnt = numTaps >> 1U;
do
{
acc0 += (q31_t) * px++ * *pb++;
acc0 += (q31_t) * px++ * *pb++;
tapCnt--;
}
while (tapCnt > 0U);
/* The result is in 2.30 format. Convert to 1.15 with saturation.
** Then store the output in the destination buffer. */
*pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Advance state pointer by 1 for the next sample */
pState = pState + 1U;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Calculation of count for copying integer writes */
tapCnt = (numTaps - 1U) >> 2;
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
tapCnt--;
}
/* Calculation of count for remaining q15_t data */
tapCnt = (numTaps - 1U) % 0x4U;
/* copy remaining data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
/**
* @} end of FIR group
*/

View File

@@ -1,293 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_fast_q31.c
* Description: Processing function for the Q31 Fast FIR filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @param[in] *S points to an instance of the Q31 structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
*
* \par
* This function is optimized for speed at the expense of fixed-point precision and overflow protection.
* The result of each 1.31 x 1.31 multiplication is truncated to 2.30 format.
* These intermediate results are added to a 2.30 accumulator.
* Finally, the accumulator is saturated and converted to a 1.31 result.
* The fast version has the same overflow behavior as the standard version and provides less precision since it discards the low 32 bits of each multiplication result.
* In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits.
*
* \par
* Refer to the function <code>arm_fir_q31()</code> for a slower implementation of this function which uses a 64-bit accumulator to provide higher precision. Both the slow and the fast versions use the same instance structure.
* Use the function <code>arm_fir_init_q31()</code> to initialize the filter structure.
*/
IAR_ONLY_LOW_OPTIMIZATION_ENTER
void arm_fir_fast_q31(
const arm_fir_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *pStateCurnt; /* Points to the current sample of the state */
q31_t x0, x1, x2, x3; /* Temporary variables to hold state */
q31_t c0; /* Temporary variable to hold coefficient value */
q31_t *px; /* Temporary pointer for state */
q31_t *pb; /* Temporary pointer for coefficient buffer */
q31_t acc0, acc1, acc2, acc3; /* Accumulators */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t i, tapCnt, blkCnt; /* Loop counters */
/* S->pState points to buffer which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Apply loop unrolling and compute 4 output values simultaneously.
* The variables acc0 ... acc3 hold output values that are being computed:
*
* acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0]
* acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1]
* acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2]
* acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3]
*/
blkCnt = blockSize >> 2;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* Copy four new input samples into the state buffer */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coefficient pointer */
pb = pCoeffs;
/* Read the first three samples from the state buffer:
* x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2] */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
i = tapCnt;
while (i > 0U)
{
/* Read the b[numTaps] coefficient */
c0 = *pb;
/* Read x[n-numTaps-3] sample */
x3 = *px;
/* acc0 += b[numTaps] * x[n-numTaps] */
multAcc_32x32_keep32_R(acc0, x0, c0);
/* acc1 += b[numTaps] * x[n-numTaps-1] */
multAcc_32x32_keep32_R(acc1, x1, c0);
/* acc2 += b[numTaps] * x[n-numTaps-2] */
multAcc_32x32_keep32_R(acc2, x2, c0);
/* acc3 += b[numTaps] * x[n-numTaps-3] */
multAcc_32x32_keep32_R(acc3, x3, c0);
/* Read the b[numTaps-1] coefficient */
c0 = *(pb + 1U);
/* Read x[n-numTaps-4] sample */
x0 = *(px + 1U);
/* Perform the multiply-accumulates */
multAcc_32x32_keep32_R(acc0, x1, c0);
multAcc_32x32_keep32_R(acc1, x2, c0);
multAcc_32x32_keep32_R(acc2, x3, c0);
multAcc_32x32_keep32_R(acc3, x0, c0);
/* Read the b[numTaps-2] coefficient */
c0 = *(pb + 2U);
/* Read x[n-numTaps-5] sample */
x1 = *(px + 2U);
/* Perform the multiply-accumulates */
multAcc_32x32_keep32_R(acc0, x2, c0);
multAcc_32x32_keep32_R(acc1, x3, c0);
multAcc_32x32_keep32_R(acc2, x0, c0);
multAcc_32x32_keep32_R(acc3, x1, c0);
/* Read the b[numTaps-3] coefficients */
c0 = *(pb + 3U);
/* Read x[n-numTaps-6] sample */
x2 = *(px + 3U);
/* Perform the multiply-accumulates */
multAcc_32x32_keep32_R(acc0, x3, c0);
multAcc_32x32_keep32_R(acc1, x0, c0);
multAcc_32x32_keep32_R(acc2, x1, c0);
multAcc_32x32_keep32_R(acc3, x2, c0);
/* update coefficient pointer */
pb += 4U;
px += 4U;
/* Decrement the loop counter */
i--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
i = numTaps - (tapCnt * 4U);
while (i > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x3 = *(px++);
/* Perform the multiply-accumulates */
multAcc_32x32_keep32_R(acc0, x0, c0);
multAcc_32x32_keep32_R(acc1, x1, c0);
multAcc_32x32_keep32_R(acc2, x2, c0);
multAcc_32x32_keep32_R(acc3, x3, c0);
/* Reuse the present sample states for next sample */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 4 to process the next group of 4 samples */
pState = pState + 4;
/* The results in the 4 accumulators are in 2.30 format. Convert to 1.31
** Then store the 4 outputs in the destination buffer. */
*pDst++ = (q31_t) (acc0 << 1);
*pDst++ = (q31_t) (acc1 << 1);
*pDst++ = (q31_t) (acc2 << 1);
*pDst++ = (q31_t) (acc3 << 1);
/* Decrement the samples loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 4U;
while (blkCnt > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize Coefficient pointer */
pb = (pCoeffs);
i = numTaps;
/* Perform the multiply-accumulates */
do
{
multAcc_32x32_keep32_R(acc0, (*px++), (*(pb++)));
i--;
} while (i > 0U);
/* The result is in 2.30 format. Convert to 1.31
** Then store the output in the destination buffer. */
*pDst++ = (q31_t) (acc0 << 1);
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the samples loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the start of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U);
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
IAR_ONLY_LOW_OPTIMIZATION_EXIT
/**
* @} end of FIR group
*/

View File

@@ -1,84 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_init_f32.c
* Description: Floating-point FIR filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @details
*
* @param[in,out] *S points to an instance of the floating-point FIR filter structure.
* @param[in] numTaps Number of filter coefficients in the filter.
* @param[in] *pCoeffs points to the filter coefficients buffer.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of samples that are processed per call.
* @return none.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>numTaps+blockSize-1</code> samples, where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_fir_f32()</code>.
*/
void arm_fir_init_f32(
arm_fir_instance_f32 * S,
uint16_t numTaps,
float32_t * pCoeffs,
float32_t * pState,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and the size of state buffer is (blockSize + numTaps - 1) */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR group
*/

View File

@@ -1,142 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_init_q15.c
* Description: Q15 FIR filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @param[in,out] *S points to an instance of the Q15 FIR filter structure.
* @param[in] numTaps Number of filter coefficients in the filter. Must be even and greater than or equal to 4.
* @param[in] *pCoeffs points to the filter coefficients buffer.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize is number of samples processed per call.
* @return The function returns ARM_MATH_SUCCESS if initialization is successful or ARM_MATH_ARGUMENT_ERROR if
* <code>numTaps</code> is not greater than or equal to 4 and even.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* Note that <code>numTaps</code> must be even and greater than or equal to 4.
* To implement an odd length filter simply increase <code>numTaps</code> by 1 and set the last coefficient to zero.
* For example, to implement a filter with <code>numTaps=3</code> and coefficients
* <pre>
* {0.3, -0.8, 0.3}
* </pre>
* set <code>numTaps=4</code> and use the coefficients:
* <pre>
* {0.3, -0.8, 0.3, 0}.
* </pre>
* Similarly, to implement a two point filter
* <pre>
* {0.3, -0.3}
* </pre>
* set <code>numTaps=4</code> and use the coefficients:
* <pre>
* {0.3, -0.3, 0, 0}.
* </pre>
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>numTaps+blockSize</code>, when running on Cortex-M4 and Cortex-M3 and is of length <code>numTaps+blockSize-1</code>, when running on Cortex-M0 where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_fir_q15()</code>.
*/
arm_status arm_fir_init_q15(
arm_fir_instance_q15 * S,
uint16_t numTaps,
q15_t * pCoeffs,
q15_t * pState,
uint32_t blockSize)
{
arm_status status;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
/* The Number of filter coefficients in the filter must be even and at least 4 */
if (numTaps & 0x1U)
{
status = ARM_MATH_ARGUMENT_ERROR;
}
else
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear the state buffer. The size is always (blockSize + numTaps ) */
memset(pState, 0, (numTaps + (blockSize)) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
status = ARM_MATH_SUCCESS;
}
return (status);
#else
/* Run the below code for Cortex-M0 */
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear the state buffer. The size is always (blockSize + numTaps - 1) */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
status = ARM_MATH_SUCCESS;
return (status);
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR group
*/

View File

@@ -1,84 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_init_q31.c
* Description: Q31 FIR filter initialization function.
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @details
*
* @param[in,out] *S points to an instance of the Q31 FIR filter structure.
* @param[in] numTaps Number of filter coefficients in the filter.
* @param[in] *pCoeffs points to the filter coefficients buffer.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of samples that are processed per call.
* @return none.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>numTaps+blockSize-1</code> samples, where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_fir_q31()</code>.
*/
void arm_fir_init_q31(
arm_fir_instance_q31 * S,
uint16_t numTaps,
q31_t * pCoeffs,
q31_t * pState,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and state array size is (blockSize + numTaps - 1) */
memset(pState, 0, (blockSize + ((uint32_t) numTaps - 1U)) * sizeof(q31_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR group
*/

View File

@@ -1,82 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_init_q7.c
* Description: Q7 FIR filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @param[in,out] *S points to an instance of the Q7 FIR filter structure.
* @param[in] numTaps Number of filter coefficients in the filter.
* @param[in] *pCoeffs points to the filter coefficients buffer.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of samples that are processed per call.
* @return none
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>numTaps+blockSize-1</code> samples, where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_fir_q7()</code>.
*/
void arm_fir_init_q7(
arm_fir_instance_q7 * S,
uint16_t numTaps,
q7_t * pCoeffs,
q7_t * pState,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear the state buffer. The size is always (blockSize + numTaps - 1) */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q7_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR group
*/

View File

@@ -1,569 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_interpolate_f32.c
* Description: Floating-point FIR interpolation sequences
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @defgroup FIR_Interpolate Finite Impulse Response (FIR) Interpolator
*
* These functions combine an upsampler (zero stuffer) and an FIR filter.
* They are used in multirate systems for increasing the sample rate of a signal without introducing high frequency images.
* Conceptually, the functions are equivalent to the block diagram below:
* \image html FIRInterpolator.gif "Components included in the FIR Interpolator functions"
* After upsampling by a factor of <code>L</code>, the signal should be filtered by a lowpass filter with a normalized
* cutoff frequency of <code>1/L</code> in order to eliminate high frequency copies of the spectrum.
* The user of the function is responsible for providing the filter coefficients.
*
* The FIR interpolator functions provided in the CMSIS DSP Library combine the upsampler and FIR filter in an efficient manner.
* The upsampler inserts <code>L-1</code> zeros between each sample.
* Instead of multiplying by these zero values, the FIR filter is designed to skip them.
* This leads to an efficient implementation without any wasted effort.
* The functions operate on blocks of input and output data.
* <code>pSrc</code> points to an array of <code>blockSize</code> input values and
* <code>pDst</code> points to an array of <code>blockSize*L</code> output values.
*
* The library provides separate functions for Q15, Q31, and floating-point data types.
*
* \par Algorithm:
* The functions use a polyphase filter structure:
* <pre>
* y[n] = b[0] * x[n] + b[L] * x[n-1] + ... + b[L*(phaseLength-1)] * x[n-phaseLength+1]
* y[n+1] = b[1] * x[n] + b[L+1] * x[n-1] + ... + b[L*(phaseLength-1)+1] * x[n-phaseLength+1]
* ...
* y[n+(L-1)] = b[L-1] * x[n] + b[2*L-1] * x[n-1] + ....+ b[L*(phaseLength-1)+(L-1)] * x[n-phaseLength+1]
* </pre>
* This approach is more efficient than straightforward upsample-then-filter algorithms.
* With this method the computation is reduced by a factor of <code>1/L</code> when compared to using a standard FIR filter.
* \par
* <code>pCoeffs</code> points to a coefficient array of size <code>numTaps</code>.
* <code>numTaps</code> must be a multiple of the interpolation factor <code>L</code> and this is checked by the
* initialization functions.
* Internally, the function divides the FIR filter's impulse response into shorter filters of length
* <code>phaseLength=numTaps/L</code>.
* Coefficients are stored in time reversed order.
* \par
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to a state array of size <code>blockSize + phaseLength - 1</code>.
* Samples in the state buffer are stored in the order:
* \par
* <pre>
* {x[n-phaseLength+1], x[n-phaseLength], x[n-phaseLength-1], x[n-phaseLength-2]....x[0], x[1], ..., x[blockSize-1]}
* </pre>
* The state variables are updated after each block of data is processed, the coefficients are untouched.
*
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable array should be allocated separately.
* There are separate instance structure declarations for each of the 3 supported data types.
*
* \par Initialization Functions
* There is also an associated initialization function for each data type.
* The initialization function performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* - Checks to make sure that the length of the filter is a multiple of the interpolation factor.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* L (interpolation factor), pCoeffs, phaseLength (numTaps / L), pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* The code below statically initializes each of the 3 different data type filter instance structures
* <pre>
* arm_fir_interpolate_instance_f32 S = {L, phaseLength, pCoeffs, pState};
* arm_fir_interpolate_instance_q31 S = {L, phaseLength, pCoeffs, pState};
* arm_fir_interpolate_instance_q15 S = {L, phaseLength, pCoeffs, pState};
* </pre>
* where <code>L</code> is the interpolation factor; <code>phaseLength=numTaps/L</code> is the
* length of each of the shorter FIR filters used internally,
* <code>pCoeffs</code> is the address of the coefficient buffer;
* <code>pState</code> is the address of the state buffer.
* Be sure to set the values in the state buffer to zeros when doing static initialization.
*
* \par Fixed-Point Behavior
* Care must be taken when using the fixed-point versions of the FIR interpolate filter functions.
* In particular, the overflow and saturation behavior of the accumulator used in each function must be considered.
* Refer to the function specific documentation below for usage guidelines.
*/
/**
* @addtogroup FIR_Interpolate
* @{
*/
/**
* @brief Processing function for the floating-point FIR interpolator.
* @param[in] *S points to an instance of the floating-point FIR interpolator structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*/
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
void arm_fir_interpolate_f32(
const arm_fir_interpolate_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *pStateCurnt; /* Points to the current sample of the state */
float32_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */
float32_t sum0; /* Accumulators */
float32_t x0, c0; /* Temporary variables to hold state and coefficient values */
uint32_t i, blkCnt, j; /* Loop counters */
uint16_t phaseLen = S->phaseLength, tapCnt; /* Length of each polyphase filter component */
float32_t acc0, acc1, acc2, acc3;
float32_t x1, x2, x3;
uint32_t blkCntN4;
float32_t c1, c2, c3;
/* S->pState buffer contains previous frame (phaseLen - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (phaseLen - 1U);
/* Initialise blkCnt */
blkCnt = blockSize / 4;
blkCntN4 = blockSize - (4 * blkCnt);
/* Samples loop unrolled by 4 */
while (blkCnt > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Address modifier index of coefficient buffer */
j = 1U;
/* Loop over the Interpolation factor. */
i = (S->L);
while (i > 0U)
{
/* Set accumulator to zero */
acc0 = 0.0f;
acc1 = 0.0f;
acc2 = 0.0f;
acc3 = 0.0f;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (S->L - j);
/* Loop over the polyPhase length. Unroll by a factor of 4.
** Repeat until we've computed numTaps-(4*S->L) coefficients. */
tapCnt = phaseLen >> 2U;
x0 = *(ptr1++);
x1 = *(ptr1++);
x2 = *(ptr1++);
while (tapCnt > 0U)
{
/* Read the input sample */
x3 = *(ptr1++);
/* Read the coefficient */
c0 = *(ptr2);
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
acc2 += x2 * c0;
acc3 += x3 * c0;
/* Read the coefficient */
c1 = *(ptr2 + S->L);
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += x1 * c1;
acc1 += x2 * c1;
acc2 += x3 * c1;
acc3 += x0 * c1;
/* Read the coefficient */
c2 = *(ptr2 + S->L * 2);
/* Read the input sample */
x1 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += x2 * c2;
acc1 += x3 * c2;
acc2 += x0 * c2;
acc3 += x1 * c2;
/* Read the coefficient */
c3 = *(ptr2 + S->L * 3);
/* Read the input sample */
x2 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += x3 * c3;
acc1 += x0 * c3;
acc2 += x1 * c3;
acc3 += x2 * c3;
/* Upsampling is done by stuffing L-1 zeros between each sample.
* So instead of multiplying zeros with coefficients,
* Increment the coefficient pointer by interpolation factor times. */
ptr2 += 4 * S->L;
/* Decrement the loop counter */
tapCnt--;
}
/* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */
tapCnt = phaseLen % 0x4U;
while (tapCnt > 0U)
{
/* Read the input sample */
x3 = *(ptr1++);
/* Read the coefficient */
c0 = *(ptr2);
/* Perform the multiply-accumulate */
acc0 += x0 * c0;
acc1 += x1 * c0;
acc2 += x2 * c0;
acc3 += x3 * c0;
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* update states for next sample processing */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
tapCnt--;
}
/* The result is in the accumulator, store in the destination buffer. */
*pDst = acc0;
*(pDst + S->L) = acc1;
*(pDst + 2 * S->L) = acc2;
*(pDst + 3 * S->L) = acc3;
pDst++;
/* Increment the address modifier index of coefficient buffer */
j++;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 4;
pDst += S->L * 3;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
while (blkCntN4 > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Address modifier index of coefficient buffer */
j = 1U;
/* Loop over the Interpolation factor. */
i = S->L;
while (i > 0U)
{
/* Set accumulator to zero */
sum0 = 0.0f;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (S->L - j);
/* Loop over the polyPhase length. Unroll by a factor of 4.
** Repeat until we've computed numTaps-(4*S->L) coefficients. */
tapCnt = phaseLen >> 2U;
while (tapCnt > 0U)
{
/* Read the coefficient */
c0 = *(ptr2);
/* Upsampling is done by stuffing L-1 zeros between each sample.
* So instead of multiplying zeros with coefficients,
* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += x0 * c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */
tapCnt = phaseLen % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
sum0 += *(ptr1++) * (*ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Decrement the loop counter */
tapCnt--;
}
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = sum0;
/* Increment the address modifier index of coefficient buffer */
j++;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 1;
/* Decrement the loop counter */
blkCntN4--;
}
/* Processing is complete.
** Now copy the last phaseLen - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
tapCnt = (phaseLen - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (phaseLen - 1U) % 0x04U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#else
/* Run the below code for Cortex-M0 */
void arm_fir_interpolate_f32(
const arm_fir_interpolate_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *pStateCurnt; /* Points to the current sample of the state */
float32_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */
float32_t sum; /* Accumulator */
uint32_t i, blkCnt; /* Loop counters */
uint16_t phaseLen = S->phaseLength, tapCnt; /* Length of each polyphase filter component */
/* S->pState buffer contains previous frame (phaseLen - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (phaseLen - 1U);
/* Total number of intput samples */
blkCnt = blockSize;
/* Loop over the blockSize. */
while (blkCnt > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Loop over the Interpolation factor. */
i = S->L;
while (i > 0U)
{
/* Set accumulator to zero */
sum = 0.0f;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (i - 1U);
/* Loop over the polyPhase length */
tapCnt = phaseLen;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
sum += *ptr1++ * *ptr2;
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Decrement the loop counter */
tapCnt--;
}
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = sum;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last phaseLen - 1 samples to the start of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
tapCnt = phaseLen - 1U;
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#endif /* #if defined (ARM_MATH_DSP) */
/**
* @} end of FIR_Interpolate group
*/

View File

@@ -1,109 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_interpolate_init_f32.c
* Description: Floating-point FIR interpolator initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Interpolate
* @{
*/
/**
* @brief Initialization function for the floating-point FIR interpolator.
* @param[in,out] *S points to an instance of the floating-point FIR interpolator structure.
* @param[in] L upsample factor.
* @param[in] numTaps number of filter coefficients in the filter.
* @param[in] *pCoeffs points to the filter coefficient buffer.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of input samples to process per call.
* @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if
* the filter length <code>numTaps</code> is not a multiple of the interpolation factor <code>L</code>.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[numTaps-2], ..., b[1], b[0]}
* </pre>
* The length of the filter <code>numTaps</code> must be a multiple of the interpolation factor <code>L</code>.
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>(numTaps/L)+blockSize-1</code> words
* where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_fir_interpolate_f32()</code>.
*/
arm_status arm_fir_interpolate_init_f32(
arm_fir_interpolate_instance_f32 * S,
uint8_t L,
uint16_t numTaps,
float32_t * pCoeffs,
float32_t * pState,
uint32_t blockSize)
{
arm_status status;
/* The filter length must be a multiple of the interpolation factor */
if ((numTaps % L) != 0U)
{
/* Set status as ARM_MATH_LENGTH_ERROR */
status = ARM_MATH_LENGTH_ERROR;
}
else
{
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Assign Interpolation factor */
S->L = L;
/* Assign polyPhaseLength */
S->phaseLength = numTaps / L;
/* Clear state buffer and size of state array is always phaseLength + blockSize - 1 */
memset(pState, 0,
(blockSize +
((uint32_t) S->phaseLength - 1U)) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
status = ARM_MATH_SUCCESS;
}
return (status);
}
/**
* @} end of FIR_Interpolate group
*/

View File

@@ -1,108 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_interpolate_init_q15.c
* Description: Q15 FIR interpolator initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Interpolate
* @{
*/
/**
* @brief Initialization function for the Q15 FIR interpolator.
* @param[in,out] *S points to an instance of the Q15 FIR interpolator structure.
* @param[in] L upsample factor.
* @param[in] numTaps number of filter coefficients in the filter.
* @param[in] *pCoeffs points to the filter coefficient buffer.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of input samples to process per call.
* @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if
* the filter length <code>numTaps</code> is not a multiple of the interpolation factor <code>L</code>.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[numTaps-2], ..., b[1], b[0]}
* </pre>
* The length of the filter <code>numTaps</code> must be a multiple of the interpolation factor <code>L</code>.
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>(numTaps/L)+blockSize-1</code> words
* where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_fir_interpolate_q15()</code>.
*/
arm_status arm_fir_interpolate_init_q15(
arm_fir_interpolate_instance_q15 * S,
uint8_t L,
uint16_t numTaps,
q15_t * pCoeffs,
q15_t * pState,
uint32_t blockSize)
{
arm_status status;
/* The filter length must be a multiple of the interpolation factor */
if ((numTaps % L) != 0U)
{
/* Set status as ARM_MATH_LENGTH_ERROR */
status = ARM_MATH_LENGTH_ERROR;
}
else
{
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Assign Interpolation factor */
S->L = L;
/* Assign polyPhaseLength */
S->phaseLength = numTaps / L;
/* Clear state buffer and size of buffer is always phaseLength + blockSize - 1 */
memset(pState, 0,
(blockSize + ((uint32_t) S->phaseLength - 1U)) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
status = ARM_MATH_SUCCESS;
}
return (status);
}
/**
* @} end of FIR_Interpolate group
*/

View File

@@ -1,109 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_interpolate_init_q31.c
* Description: Q31 FIR interpolator initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Interpolate
* @{
*/
/**
* @brief Initialization function for the Q31 FIR interpolator.
* @param[in,out] *S points to an instance of the Q31 FIR interpolator structure.
* @param[in] L upsample factor.
* @param[in] numTaps number of filter coefficients in the filter.
* @param[in] *pCoeffs points to the filter coefficient buffer.
* @param[in] *pState points to the state buffer.
* @param[in] blockSize number of input samples to process per call.
* @return The function returns ARM_MATH_SUCCESS if initialization was successful or ARM_MATH_LENGTH_ERROR if
* the filter length <code>numTaps</code> is not a multiple of the interpolation factor <code>L</code>.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[numTaps-2], ..., b[1], b[0]}
* </pre>
* The length of the filter <code>numTaps</code> must be a multiple of the interpolation factor <code>L</code>.
* \par
* <code>pState</code> points to the array of state variables.
* <code>pState</code> is of length <code>(numTaps/L)+blockSize-1</code> words
* where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_fir_interpolate_q31()</code>.
*/
arm_status arm_fir_interpolate_init_q31(
arm_fir_interpolate_instance_q31 * S,
uint8_t L,
uint16_t numTaps,
q31_t * pCoeffs,
q31_t * pState,
uint32_t blockSize)
{
arm_status status;
/* The filter length must be a multiple of the interpolation factor */
if ((numTaps % L) != 0U)
{
/* Set status as ARM_MATH_LENGTH_ERROR */
status = ARM_MATH_LENGTH_ERROR;
}
else
{
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Assign Interpolation factor */
S->L = L;
/* Assign polyPhaseLength */
S->phaseLength = numTaps / L;
/* Clear state buffer and size of buffer is always phaseLength + blockSize - 1 */
memset(pState, 0,
(blockSize + ((uint32_t) S->phaseLength - 1U)) * sizeof(q31_t));
/* Assign state pointer */
S->pState = pState;
status = ARM_MATH_SUCCESS;
}
return (status);
}
/**
* @} end of FIR_Interpolate group
*/

View File

@@ -1,496 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_interpolate_q15.c
* Description: Q15 FIR interpolation
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Interpolate
* @{
*/
/**
* @brief Processing function for the Q15 FIR interpolator.
* @param[in] *S points to an instance of the Q15 FIR interpolator structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved.
* After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits.
* Lastly, the accumulator is saturated to yield a result in 1.15 format.
*/
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
void arm_fir_interpolate_q15(
const arm_fir_interpolate_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */
q63_t sum0; /* Accumulators */
q15_t x0, c0; /* Temporary variables to hold state and coefficient values */
uint32_t i, blkCnt, j, tapCnt; /* Loop counters */
uint16_t phaseLen = S->phaseLength; /* Length of each polyphase filter component */
uint32_t blkCntN2;
q63_t acc0, acc1;
q15_t x1;
/* S->pState buffer contains previous frame (phaseLen - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + ((q31_t) phaseLen - 1);
/* Initialise blkCnt */
blkCnt = blockSize / 2;
blkCntN2 = blockSize - (2 * blkCnt);
/* Samples loop unrolled by 2 */
while (blkCnt > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Address modifier index of coefficient buffer */
j = 1U;
/* Loop over the Interpolation factor. */
i = (S->L);
while (i > 0U)
{
/* Set accumulator to zero */
acc0 = 0;
acc1 = 0;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (S->L - j);
/* Loop over the polyPhase length. Unroll by a factor of 4.
** Repeat until we've computed numTaps-(4*S->L) coefficients. */
tapCnt = phaseLen >> 2U;
x0 = *(ptr1++);
while (tapCnt > 0U)
{
/* Read the input sample */
x1 = *(ptr1++);
/* Read the coefficient */
c0 = *(ptr2);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x0 *c0;
acc1 += (q63_t) x1 *c0;
/* Read the coefficient */
c0 = *(ptr2 + S->L);
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x1 *c0;
acc1 += (q63_t) x0 *c0;
/* Read the coefficient */
c0 = *(ptr2 + S->L * 2);
/* Read the input sample */
x1 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x0 *c0;
acc1 += (q63_t) x1 *c0;
/* Read the coefficient */
c0 = *(ptr2 + S->L * 3);
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x1 *c0;
acc1 += (q63_t) x0 *c0;
/* Upsampling is done by stuffing L-1 zeros between each sample.
* So instead of multiplying zeros with coefficients,
* Increment the coefficient pointer by interpolation factor times. */
ptr2 += 4 * S->L;
/* Decrement the loop counter */
tapCnt--;
}
/* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */
tapCnt = phaseLen % 0x4U;
while (tapCnt > 0U)
{
/* Read the input sample */
x1 = *(ptr1++);
/* Read the coefficient */
c0 = *(ptr2);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x0 *c0;
acc1 += (q63_t) x1 *c0;
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* update states for next sample processing */
x0 = x1;
/* Decrement the loop counter */
tapCnt--;
}
/* The result is in the accumulator, store in the destination buffer. */
*pDst = (q15_t) (__SSAT((acc0 >> 15), 16));
*(pDst + S->L) = (q15_t) (__SSAT((acc1 >> 15), 16));
pDst++;
/* Increment the address modifier index of coefficient buffer */
j++;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 2;
pDst += S->L;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 2, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blkCntN2;
/* Loop over the blockSize. */
while (blkCnt > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Address modifier index of coefficient buffer */
j = 1U;
/* Loop over the Interpolation factor. */
i = S->L;
while (i > 0U)
{
/* Set accumulator to zero */
sum0 = 0;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (S->L - j);
/* Loop over the polyPhase length. Unroll by a factor of 4.
** Repeat until we've computed numTaps-(4*S->L) coefficients. */
tapCnt = phaseLen >> 2;
while (tapCnt > 0U)
{
/* Read the coefficient */
c0 = *(ptr2);
/* Upsampling is done by stuffing L-1 zeros between each sample.
* So instead of multiplying zeros with coefficients,
* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */
tapCnt = phaseLen & 0x3U;
while (tapCnt > 0U)
{
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = (q15_t) (__SSAT((sum0 >> 15), 16));
j++;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last phaseLen - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = ((uint32_t) phaseLen - 1U) >> 2U;
/* copy data */
while (i > 0U)
{
#ifndef UNALIGNED_SUPPORT_DISABLE
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
#else
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Decrement the loop counter */
i--;
}
i = ((uint32_t) phaseLen - 1U) % 0x04U;
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
}
#else
/* Run the below code for Cortex-M0 */
void arm_fir_interpolate_q15(
const arm_fir_interpolate_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */
q63_t sum; /* Accumulator */
q15_t x0, c0; /* Temporary variables to hold state and coefficient values */
uint32_t i, blkCnt, tapCnt; /* Loop counters */
uint16_t phaseLen = S->phaseLength; /* Length of each polyphase filter component */
/* S->pState buffer contains previous frame (phaseLen - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (phaseLen - 1U);
/* Total number of intput samples */
blkCnt = blockSize;
/* Loop over the blockSize. */
while (blkCnt > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Loop over the Interpolation factor. */
i = S->L;
while (i > 0U)
{
/* Set accumulator to zero */
sum = 0;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (i - 1U);
/* Loop over the polyPhase length */
tapCnt = (uint32_t) phaseLen;
while (tapCnt > 0U)
{
/* Read the coefficient */
c0 = *ptr2;
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *ptr1++;
/* Perform the multiply-accumulate */
sum += ((q31_t) x0 * c0);
/* Decrement the loop counter */
tapCnt--;
}
/* Store the result after converting to 1.15 format in the destination buffer */
*pDst++ = (q15_t) (__SSAT((sum >> 15), 16));
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last phaseLen - 1 samples to the start of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
i = (uint32_t) phaseLen - 1U;
while (i > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
i--;
}
}
#endif /* #if defined (ARM_MATH_DSP) */
/**
* @} end of FIR_Interpolate group
*/

View File

@@ -1,492 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_interpolate_q31.c
* Description: Q31 FIR interpolation
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Interpolate
* @{
*/
/**
* @brief Processing function for the Q31 FIR interpolator.
* @param[in] *S points to an instance of the Q31 FIR interpolator structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around rather than clip.
* In order to avoid overflows completely the input signal must be scaled down by <code>1/(numTaps/L)</code>.
* since <code>numTaps/L</code> additions occur per output sample.
* After all multiply-accumulates are performed, the 2.62 accumulator is truncated to 1.32 format and then saturated to 1.31 format.
*/
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
void arm_fir_interpolate_q31(
const arm_fir_interpolate_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *pStateCurnt; /* Points to the current sample of the state */
q31_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */
q63_t sum0; /* Accumulators */
q31_t x0, c0; /* Temporary variables to hold state and coefficient values */
uint32_t i, blkCnt, j; /* Loop counters */
uint16_t phaseLen = S->phaseLength, tapCnt; /* Length of each polyphase filter component */
uint32_t blkCntN2;
q63_t acc0, acc1;
q31_t x1;
/* S->pState buffer contains previous frame (phaseLen - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + ((q31_t) phaseLen - 1);
/* Initialise blkCnt */
blkCnt = blockSize / 2;
blkCntN2 = blockSize - (2 * blkCnt);
/* Samples loop unrolled by 2 */
while (blkCnt > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Address modifier index of coefficient buffer */
j = 1U;
/* Loop over the Interpolation factor. */
i = (S->L);
while (i > 0U)
{
/* Set accumulator to zero */
acc0 = 0;
acc1 = 0;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (S->L - j);
/* Loop over the polyPhase length. Unroll by a factor of 4.
** Repeat until we've computed numTaps-(4*S->L) coefficients. */
tapCnt = phaseLen >> 2U;
x0 = *(ptr1++);
while (tapCnt > 0U)
{
/* Read the input sample */
x1 = *(ptr1++);
/* Read the coefficient */
c0 = *(ptr2);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x0 *c0;
acc1 += (q63_t) x1 *c0;
/* Read the coefficient */
c0 = *(ptr2 + S->L);
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x1 *c0;
acc1 += (q63_t) x0 *c0;
/* Read the coefficient */
c0 = *(ptr2 + S->L * 2);
/* Read the input sample */
x1 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x0 *c0;
acc1 += (q63_t) x1 *c0;
/* Read the coefficient */
c0 = *(ptr2 + S->L * 3);
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x1 *c0;
acc1 += (q63_t) x0 *c0;
/* Upsampling is done by stuffing L-1 zeros between each sample.
* So instead of multiplying zeros with coefficients,
* Increment the coefficient pointer by interpolation factor times. */
ptr2 += 4 * S->L;
/* Decrement the loop counter */
tapCnt--;
}
/* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */
tapCnt = phaseLen % 0x4U;
while (tapCnt > 0U)
{
/* Read the input sample */
x1 = *(ptr1++);
/* Read the coefficient */
c0 = *(ptr2);
/* Perform the multiply-accumulate */
acc0 += (q63_t) x0 *c0;
acc1 += (q63_t) x1 *c0;
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* update states for next sample processing */
x0 = x1;
/* Decrement the loop counter */
tapCnt--;
}
/* The result is in the accumulator, store in the destination buffer. */
*pDst = (q31_t) (acc0 >> 31);
*(pDst + S->L) = (q31_t) (acc1 >> 31);
pDst++;
/* Increment the address modifier index of coefficient buffer */
j++;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 2;
pDst += S->L;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 2, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blkCntN2;
/* Loop over the blockSize. */
while (blkCnt > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Address modifier index of coefficient buffer */
j = 1U;
/* Loop over the Interpolation factor. */
i = S->L;
while (i > 0U)
{
/* Set accumulator to zero */
sum0 = 0;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (S->L - j);
/* Loop over the polyPhase length. Unroll by a factor of 4.
** Repeat until we've computed numTaps-(4*S->L) coefficients. */
tapCnt = phaseLen >> 2;
while (tapCnt > 0U)
{
/* Read the coefficient */
c0 = *(ptr2);
/* Upsampling is done by stuffing L-1 zeros between each sample.
* So instead of multiplying zeros with coefficients,
* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* If the polyPhase length is not a multiple of 4, compute the remaining filter taps */
tapCnt = phaseLen & 0x3U;
while (tapCnt > 0U)
{
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *(ptr1++);
/* Perform the multiply-accumulate */
sum0 += (q63_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = (q31_t) (sum0 >> 31);
/* Increment the address modifier index of coefficient buffer */
j++;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last phaseLen - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
tapCnt = (phaseLen - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
tapCnt = (phaseLen - 1U) % 0x04U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#else
void arm_fir_interpolate_q31(
const arm_fir_interpolate_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *pStateCurnt; /* Points to the current sample of the state */
q31_t *ptr1, *ptr2; /* Temporary pointers for state and coefficient buffers */
/* Run the below code for Cortex-M0 */
q63_t sum; /* Accumulator */
q31_t x0, c0; /* Temporary variables to hold state and coefficient values */
uint32_t i, blkCnt; /* Loop counters */
uint16_t phaseLen = S->phaseLength, tapCnt; /* Length of each polyphase filter component */
/* S->pState buffer contains previous frame (phaseLen - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + ((q31_t) phaseLen - 1);
/* Total number of intput samples */
blkCnt = blockSize;
/* Loop over the blockSize. */
while (blkCnt > 0U)
{
/* Copy new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Loop over the Interpolation factor. */
i = S->L;
while (i > 0U)
{
/* Set accumulator to zero */
sum = 0;
/* Initialize state pointer */
ptr1 = pState;
/* Initialize coefficient pointer */
ptr2 = pCoeffs + (i - 1U);
tapCnt = phaseLen;
while (tapCnt > 0U)
{
/* Read the coefficient */
c0 = *(ptr2);
/* Increment the coefficient pointer by interpolation factor times. */
ptr2 += S->L;
/* Read the input sample */
x0 = *ptr1++;
/* Perform the multiply-accumulate */
sum += (q63_t) x0 *c0;
/* Decrement the loop counter */
tapCnt--;
}
/* The result is in the accumulator, store in the destination buffer. */
*pDst++ = (q31_t) (sum >> 31);
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 1
* to process the next group of interpolation factor number samples */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last phaseLen - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
tapCnt = phaseLen - 1U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#endif /* #if defined (ARM_MATH_DSP) */
/**
* @} end of FIR_Interpolate group
*/

View File

@@ -1,494 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_lattice_f32.c
* Description: Processing function for the floating-point FIR Lattice filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup FIR_Lattice Finite Impulse Response (FIR) Lattice Filters
*
* This set of functions implements Finite Impulse Response (FIR) lattice filters
* for Q15, Q31 and floating-point data types. Lattice filters are used in a
* variety of adaptive filter applications. The filter structure is feedforward and
* the net impulse response is finite length.
* The functions operate on blocks
* of input and output data and each call to the function processes
* <code>blockSize</code> samples through the filter. <code>pSrc</code> and
* <code>pDst</code> point to input and output arrays containing <code>blockSize</code> values.
*
* \par Algorithm:
* \image html FIRLattice.gif "Finite Impulse Response Lattice filter"
* The following difference equation is implemented:
* <pre>
* f0[n] = g0[n] = x[n]
* fm[n] = fm-1[n] + km * gm-1[n-1] for m = 1, 2, ...M
* gm[n] = km * fm-1[n] + gm-1[n-1] for m = 1, 2, ...M
* y[n] = fM[n]
* </pre>
* \par
* <code>pCoeffs</code> points to tha array of reflection coefficients of size <code>numStages</code>.
* Reflection Coefficients are stored in the following order.
* \par
* <pre>
* {k1, k2, ..., kM}
* </pre>
* where M is number of stages
* \par
* <code>pState</code> points to a state array of size <code>numStages</code>.
* The state variables (g values) hold previous inputs and are stored in the following order.
* <pre>
* {g0[n], g1[n], g2[n] ...gM-1[n]}
* </pre>
* The state variables are updated after each block of data is processed; the coefficients are untouched.
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared.
* There are separate instance structure declarations for each of the 3 supported data types.
*
* \par Initialization Functions
* There is also an associated initialization function for each data type.
* The initialization function performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numStages, pCoeffs, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros and then manually initialize the instance structure as follows:
* <pre>
*arm_fir_lattice_instance_f32 S = {numStages, pState, pCoeffs};
*arm_fir_lattice_instance_q31 S = {numStages, pState, pCoeffs};
*arm_fir_lattice_instance_q15 S = {numStages, pState, pCoeffs};
* </pre>
* \par
* where <code>numStages</code> is the number of stages in the filter; <code>pState</code> is the address of the state buffer;
* <code>pCoeffs</code> is the address of the coefficient buffer.
* \par Fixed-Point Behavior
* Care must be taken when using the fixed-point versions of the FIR Lattice filter functions.
* In particular, the overflow and saturation behavior of the accumulator used in each function must be considered.
* Refer to the function specific documentation below for usage guidelines.
*/
/**
* @addtogroup FIR_Lattice
* @{
*/
/**
* @brief Processing function for the floating-point FIR lattice filter.
* @param[in] *S points to an instance of the floating-point FIR lattice structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of samples to process.
* @return none.
*/
void arm_fir_lattice_f32(
const arm_fir_lattice_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t *pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *px; /* temporary state pointer */
float32_t *pk; /* temporary coefficient pointer */
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
float32_t fcurr1, fnext1, gcurr1, gnext1; /* temporary variables for first sample in loop unrolling */
float32_t fcurr2, fnext2, gnext2; /* temporary variables for second sample in loop unrolling */
float32_t fcurr3, fnext3, gnext3; /* temporary variables for third sample in loop unrolling */
float32_t fcurr4, fnext4, gnext4; /* temporary variables for fourth sample in loop unrolling */
uint32_t numStages = S->numStages; /* Number of stages in the filter */
uint32_t blkCnt, stageCnt; /* temporary variables for counts */
gcurr1 = 0.0f;
pState = &S->pState[0];
blkCnt = blockSize >> 2;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* Read two samples from input buffer */
/* f0(n) = x(n) */
fcurr1 = *pSrc++;
fcurr2 = *pSrc++;
/* Initialize coeff pointer */
pk = (pCoeffs);
/* Initialize state pointer */
px = pState;
/* Read g0(n-1) from state */
gcurr1 = *px;
/* Process first sample for first tap */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext1 = fcurr1 + ((*pk) * gcurr1);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext1 = (fcurr1 * (*pk)) + gcurr1;
/* Process second sample for first tap */
/* for sample 2 processing */
fnext2 = fcurr2 + ((*pk) * fcurr1);
gnext2 = (fcurr2 * (*pk)) + fcurr1;
/* Read next two samples from input buffer */
/* f0(n+2) = x(n+2) */
fcurr3 = *pSrc++;
fcurr4 = *pSrc++;
/* Copy only last input samples into the state buffer
which will be used for next four samples processing */
*px++ = fcurr4;
/* Process third sample for first tap */
fnext3 = fcurr3 + ((*pk) * fcurr2);
gnext3 = (fcurr3 * (*pk)) + fcurr2;
/* Process fourth sample for first tap */
fnext4 = fcurr4 + ((*pk) * fcurr3);
gnext4 = (fcurr4 * (*pk++)) + fcurr3;
/* Update of f values for next coefficient set processing */
fcurr1 = fnext1;
fcurr2 = fnext2;
fcurr3 = fnext3;
fcurr4 = fnext4;
/* Loop unrolling. Process 4 taps at a time . */
stageCnt = (numStages - 1U) >> 2U;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numStages-3 coefficients. */
/* Process 2nd, 3rd, 4th and 5th taps ... here */
while (stageCnt > 0U)
{
/* Read g1(n-1), g3(n-1) .... from state */
gcurr1 = *px;
/* save g1(n) in state buffer */
*px++ = gnext4;
/* Process first sample for 2nd, 6th .. tap */
/* Sample processing for K2, K6.... */
/* f2(n) = f1(n) + K2 * g1(n-1) */
fnext1 = fcurr1 + ((*pk) * gcurr1);
/* Process second sample for 2nd, 6th .. tap */
/* for sample 2 processing */
fnext2 = fcurr2 + ((*pk) * gnext1);
/* Process third sample for 2nd, 6th .. tap */
fnext3 = fcurr3 + ((*pk) * gnext2);
/* Process fourth sample for 2nd, 6th .. tap */
fnext4 = fcurr4 + ((*pk) * gnext3);
/* g2(n) = f1(n) * K2 + g1(n-1) */
/* Calculation of state values for next stage */
gnext4 = (fcurr4 * (*pk)) + gnext3;
gnext3 = (fcurr3 * (*pk)) + gnext2;
gnext2 = (fcurr2 * (*pk)) + gnext1;
gnext1 = (fcurr1 * (*pk++)) + gcurr1;
/* Read g2(n-1), g4(n-1) .... from state */
gcurr1 = *px;
/* save g2(n) in state buffer */
*px++ = gnext4;
/* Sample processing for K3, K7.... */
/* Process first sample for 3rd, 7th .. tap */
/* f3(n) = f2(n) + K3 * g2(n-1) */
fcurr1 = fnext1 + ((*pk) * gcurr1);
/* Process second sample for 3rd, 7th .. tap */
fcurr2 = fnext2 + ((*pk) * gnext1);
/* Process third sample for 3rd, 7th .. tap */
fcurr3 = fnext3 + ((*pk) * gnext2);
/* Process fourth sample for 3rd, 7th .. tap */
fcurr4 = fnext4 + ((*pk) * gnext3);
/* Calculation of state values for next stage */
/* g3(n) = f2(n) * K3 + g2(n-1) */
gnext4 = (fnext4 * (*pk)) + gnext3;
gnext3 = (fnext3 * (*pk)) + gnext2;
gnext2 = (fnext2 * (*pk)) + gnext1;
gnext1 = (fnext1 * (*pk++)) + gcurr1;
/* Read g1(n-1), g3(n-1) .... from state */
gcurr1 = *px;
/* save g3(n) in state buffer */
*px++ = gnext4;
/* Sample processing for K4, K8.... */
/* Process first sample for 4th, 8th .. tap */
/* f4(n) = f3(n) + K4 * g3(n-1) */
fnext1 = fcurr1 + ((*pk) * gcurr1);
/* Process second sample for 4th, 8th .. tap */
/* for sample 2 processing */
fnext2 = fcurr2 + ((*pk) * gnext1);
/* Process third sample for 4th, 8th .. tap */
fnext3 = fcurr3 + ((*pk) * gnext2);
/* Process fourth sample for 4th, 8th .. tap */
fnext4 = fcurr4 + ((*pk) * gnext3);
/* g4(n) = f3(n) * K4 + g3(n-1) */
/* Calculation of state values for next stage */
gnext4 = (fcurr4 * (*pk)) + gnext3;
gnext3 = (fcurr3 * (*pk)) + gnext2;
gnext2 = (fcurr2 * (*pk)) + gnext1;
gnext1 = (fcurr1 * (*pk++)) + gcurr1;
/* Read g2(n-1), g4(n-1) .... from state */
gcurr1 = *px;
/* save g4(n) in state buffer */
*px++ = gnext4;
/* Sample processing for K5, K9.... */
/* Process first sample for 5th, 9th .. tap */
/* f5(n) = f4(n) + K5 * g4(n-1) */
fcurr1 = fnext1 + ((*pk) * gcurr1);
/* Process second sample for 5th, 9th .. tap */
fcurr2 = fnext2 + ((*pk) * gnext1);
/* Process third sample for 5th, 9th .. tap */
fcurr3 = fnext3 + ((*pk) * gnext2);
/* Process fourth sample for 5th, 9th .. tap */
fcurr4 = fnext4 + ((*pk) * gnext3);
/* Calculation of state values for next stage */
/* g5(n) = f4(n) * K5 + g4(n-1) */
gnext4 = (fnext4 * (*pk)) + gnext3;
gnext3 = (fnext3 * (*pk)) + gnext2;
gnext2 = (fnext2 * (*pk)) + gnext1;
gnext1 = (fnext1 * (*pk++)) + gcurr1;
stageCnt--;
}
/* If the (filter length -1) is not a multiple of 4, compute the remaining filter taps */
stageCnt = (numStages - 1U) % 0x4U;
while (stageCnt > 0U)
{
gcurr1 = *px;
/* save g value in state buffer */
*px++ = gnext4;
/* Process four samples for last three taps here */
fnext1 = fcurr1 + ((*pk) * gcurr1);
fnext2 = fcurr2 + ((*pk) * gnext1);
fnext3 = fcurr3 + ((*pk) * gnext2);
fnext4 = fcurr4 + ((*pk) * gnext3);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext4 = (fcurr4 * (*pk)) + gnext3;
gnext3 = (fcurr3 * (*pk)) + gnext2;
gnext2 = (fcurr2 * (*pk)) + gnext1;
gnext1 = (fcurr1 * (*pk++)) + gcurr1;
/* Update of f values for next coefficient set processing */
fcurr1 = fnext1;
fcurr2 = fnext2;
fcurr3 = fnext3;
fcurr4 = fnext4;
stageCnt--;
}
/* The results in the 4 accumulators, store in the destination buffer. */
/* y(n) = fN(n) */
*pDst++ = fcurr1;
*pDst++ = fcurr2;
*pDst++ = fcurr3;
*pDst++ = fcurr4;
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* f0(n) = x(n) */
fcurr1 = *pSrc++;
/* Initialize coeff pointer */
pk = (pCoeffs);
/* Initialize state pointer */
px = pState;
/* read g2(n) from state buffer */
gcurr1 = *px;
/* for sample 1 processing */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext1 = fcurr1 + ((*pk) * gcurr1);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext1 = (fcurr1 * (*pk++)) + gcurr1;
/* save g1(n) in state buffer */
*px++ = fcurr1;
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr1 = fnext1;
stageCnt = (numStages - 1U);
/* stage loop */
while (stageCnt > 0U)
{
/* read g2(n) from state buffer */
gcurr1 = *px;
/* save g1(n) in state buffer */
*px++ = gnext1;
/* Sample processing for K2, K3.... */
/* f2(n) = f1(n) + K2 * g1(n-1) */
fnext1 = fcurr1 + ((*pk) * gcurr1);
/* g2(n) = f1(n) * K2 + g1(n-1) */
gnext1 = (fcurr1 * (*pk++)) + gcurr1;
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr1 = fnext1;
stageCnt--;
}
/* y(n) = fN(n) */
*pDst++ = fcurr1;
blkCnt--;
}
#else
/* Run the below code for Cortex-M0 */
float32_t fcurr, fnext, gcurr, gnext; /* temporary variables */
uint32_t numStages = S->numStages; /* Length of the filter */
uint32_t blkCnt, stageCnt; /* temporary variables for counts */
pState = &S->pState[0];
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* f0(n) = x(n) */
fcurr = *pSrc++;
/* Initialize coeff pointer */
pk = pCoeffs;
/* Initialize state pointer */
px = pState;
/* read g0(n-1) from state buffer */
gcurr = *px;
/* for sample 1 processing */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext = fcurr + ((*pk) * gcurr);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext = (fcurr * (*pk++)) + gcurr;
/* save f0(n) in state buffer */
*px++ = fcurr;
/* f1(n) is saved in fcurr
for next stage processing */
fcurr = fnext;
stageCnt = (numStages - 1U);
/* stage loop */
while (stageCnt > 0U)
{
/* read g2(n) from state buffer */
gcurr = *px;
/* save g1(n) in state buffer */
*px++ = gnext;
/* Sample processing for K2, K3.... */
/* f2(n) = f1(n) + K2 * g1(n-1) */
fnext = fcurr + ((*pk) * gcurr);
/* g2(n) = f1(n) * K2 + g1(n-1) */
gnext = (fcurr * (*pk++)) + gcurr;
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr = fnext;
stageCnt--;
}
/* y(n) = fN(n) */
*pDst++ = fcurr;
blkCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR_Lattice group
*/

View File

@@ -1,71 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_lattice_init_f32.c
* Description: Floating-point FIR Lattice filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Lattice
* @{
*/
/**
* @brief Initialization function for the floating-point FIR lattice filter.
* @param[in] *S points to an instance of the floating-point FIR lattice structure.
* @param[in] numStages number of filter stages.
* @param[in] *pCoeffs points to the coefficient buffer. The array is of length numStages.
* @param[in] *pState points to the state buffer. The array is of length numStages.
* @return none.
*/
void arm_fir_lattice_init_f32(
arm_fir_lattice_instance_f32 * S,
uint16_t numStages,
float32_t * pCoeffs,
float32_t * pState)
{
/* Assign filter taps */
S->numStages = numStages;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always numStages */
memset(pState, 0, (numStages) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR_Lattice group
*/

View File

@@ -1,71 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_lattice_init_q15.c
* Description: Q15 FIR Lattice filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Lattice
* @{
*/
/**
* @brief Initialization function for the Q15 FIR lattice filter.
* @param[in] *S points to an instance of the Q15 FIR lattice structure.
* @param[in] numStages number of filter stages.
* @param[in] *pCoeffs points to the coefficient buffer. The array is of length numStages.
* @param[in] *pState points to the state buffer. The array is of length numStages.
* @return none.
*/
void arm_fir_lattice_init_q15(
arm_fir_lattice_instance_q15 * S,
uint16_t numStages,
q15_t * pCoeffs,
q15_t * pState)
{
/* Assign filter taps */
S->numStages = numStages;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always numStages */
memset(pState, 0, (numStages) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR_Lattice group
*/

View File

@@ -1,71 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_lattice_init_q31.c
* Description: Q31 FIR lattice filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Lattice
* @{
*/
/**
* @brief Initialization function for the Q31 FIR lattice filter.
* @param[in] *S points to an instance of the Q31 FIR lattice structure.
* @param[in] numStages number of filter stages.
* @param[in] *pCoeffs points to the coefficient buffer. The array is of length numStages.
* @param[in] *pState points to the state buffer. The array is of length numStages.
* @return none.
*/
void arm_fir_lattice_init_q31(
arm_fir_lattice_instance_q31 * S,
uint16_t numStages,
q31_t * pCoeffs,
q31_t * pState)
{
/* Assign filter taps */
S->numStages = numStages;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always numStages */
memset(pState, 0, (numStages) * sizeof(q31_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR_Lattice group
*/

View File

@@ -1,524 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_lattice_q15.c
* Description: Q15 FIR lattice filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Lattice
* @{
*/
/**
* @brief Processing function for the Q15 FIR lattice filter.
* @param[in] *S points to an instance of the Q15 FIR lattice structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of samples to process.
* @return none.
*/
void arm_fir_lattice_q15(
const arm_fir_lattice_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *px; /* temporary state pointer */
q15_t *pk; /* temporary coefficient pointer */
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q31_t fcurnt1, fnext1, gcurnt1 = 0, gnext1; /* temporary variables for first sample in loop unrolling */
q31_t fcurnt2, fnext2, gnext2; /* temporary variables for second sample in loop unrolling */
q31_t fcurnt3, fnext3, gnext3; /* temporary variables for third sample in loop unrolling */
q31_t fcurnt4, fnext4, gnext4; /* temporary variables for fourth sample in loop unrolling */
uint32_t numStages = S->numStages; /* Number of stages in the filter */
uint32_t blkCnt, stageCnt; /* temporary variables for counts */
pState = &S->pState[0];
blkCnt = blockSize >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* Read two samples from input buffer */
/* f0(n) = x(n) */
fcurnt1 = *pSrc++;
fcurnt2 = *pSrc++;
/* Initialize coeff pointer */
pk = (pCoeffs);
/* Initialize state pointer */
px = pState;
/* Read g0(n-1) from state */
gcurnt1 = *px;
/* Process first sample for first tap */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fcurnt1;
fnext1 = __SSAT(fnext1, 16);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext1 = (q31_t) ((fcurnt1 * (*pk)) >> 15U) + gcurnt1;
gnext1 = __SSAT(gnext1, 16);
/* Process second sample for first tap */
/* for sample 2 processing */
fnext2 = (q31_t) ((fcurnt1 * (*pk)) >> 15U) + fcurnt2;
fnext2 = __SSAT(fnext2, 16);
gnext2 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + fcurnt1;
gnext2 = __SSAT(gnext2, 16);
/* Read next two samples from input buffer */
/* f0(n+2) = x(n+2) */
fcurnt3 = *pSrc++;
fcurnt4 = *pSrc++;
/* Copy only last input samples into the state buffer
which is used for next four samples processing */
*px++ = (q15_t) fcurnt4;
/* Process third sample for first tap */
fnext3 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + fcurnt3;
fnext3 = __SSAT(fnext3, 16);
gnext3 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + fcurnt2;
gnext3 = __SSAT(gnext3, 16);
/* Process fourth sample for first tap */
fnext4 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + fcurnt4;
fnext4 = __SSAT(fnext4, 16);
gnext4 = (q31_t) ((fcurnt4 * (*pk++)) >> 15U) + fcurnt3;
gnext4 = __SSAT(gnext4, 16);
/* Update of f values for next coefficient set processing */
fcurnt1 = fnext1;
fcurnt2 = fnext2;
fcurnt3 = fnext3;
fcurnt4 = fnext4;
/* Loop unrolling. Process 4 taps at a time . */
stageCnt = (numStages - 1U) >> 2;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numStages-3 coefficients. */
/* Process 2nd, 3rd, 4th and 5th taps ... here */
while (stageCnt > 0U)
{
/* Read g1(n-1), g3(n-1) .... from state */
gcurnt1 = *px;
/* save g1(n) in state buffer */
*px++ = (q15_t) gnext4;
/* Process first sample for 2nd, 6th .. tap */
/* Sample processing for K2, K6.... */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fcurnt1;
fnext1 = __SSAT(fnext1, 16);
/* Process second sample for 2nd, 6th .. tap */
/* for sample 2 processing */
fnext2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fcurnt2;
fnext2 = __SSAT(fnext2, 16);
/* Process third sample for 2nd, 6th .. tap */
fnext3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fcurnt3;
fnext3 = __SSAT(fnext3, 16);
/* Process fourth sample for 2nd, 6th .. tap */
/* fnext4 = fcurnt4 + (*pk) * gnext3; */
fnext4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fcurnt4;
fnext4 = __SSAT(fnext4, 16);
/* g1(n) = f0(n) * K1 + g0(n-1) */
/* Calculation of state values for next stage */
gnext4 = (q31_t) ((fcurnt4 * (*pk)) >> 15U) + gnext3;
gnext4 = __SSAT(gnext4, 16);
gnext3 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + gnext2;
gnext3 = __SSAT(gnext3, 16);
gnext2 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + gnext1;
gnext2 = __SSAT(gnext2, 16);
gnext1 = (q31_t) ((fcurnt1 * (*pk++)) >> 15U) + gcurnt1;
gnext1 = __SSAT(gnext1, 16);
/* Read g2(n-1), g4(n-1) .... from state */
gcurnt1 = *px;
/* save g1(n) in state buffer */
*px++ = (q15_t) gnext4;
/* Sample processing for K3, K7.... */
/* Process first sample for 3rd, 7th .. tap */
/* f3(n) = f2(n) + K3 * g2(n-1) */
fcurnt1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fnext1;
fcurnt1 = __SSAT(fcurnt1, 16);
/* Process second sample for 3rd, 7th .. tap */
fcurnt2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fnext2;
fcurnt2 = __SSAT(fcurnt2, 16);
/* Process third sample for 3rd, 7th .. tap */
fcurnt3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fnext3;
fcurnt3 = __SSAT(fcurnt3, 16);
/* Process fourth sample for 3rd, 7th .. tap */
fcurnt4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fnext4;
fcurnt4 = __SSAT(fcurnt4, 16);
/* Calculation of state values for next stage */
/* g3(n) = f2(n) * K3 + g2(n-1) */
gnext4 = (q31_t) ((fnext4 * (*pk)) >> 15U) + gnext3;
gnext4 = __SSAT(gnext4, 16);
gnext3 = (q31_t) ((fnext3 * (*pk)) >> 15U) + gnext2;
gnext3 = __SSAT(gnext3, 16);
gnext2 = (q31_t) ((fnext2 * (*pk)) >> 15U) + gnext1;
gnext2 = __SSAT(gnext2, 16);
gnext1 = (q31_t) ((fnext1 * (*pk++)) >> 15U) + gcurnt1;
gnext1 = __SSAT(gnext1, 16);
/* Read g1(n-1), g3(n-1) .... from state */
gcurnt1 = *px;
/* save g1(n) in state buffer */
*px++ = (q15_t) gnext4;
/* Sample processing for K4, K8.... */
/* Process first sample for 4th, 8th .. tap */
/* f4(n) = f3(n) + K4 * g3(n-1) */
fnext1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fcurnt1;
fnext1 = __SSAT(fnext1, 16);
/* Process second sample for 4th, 8th .. tap */
/* for sample 2 processing */
fnext2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fcurnt2;
fnext2 = __SSAT(fnext2, 16);
/* Process third sample for 4th, 8th .. tap */
fnext3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fcurnt3;
fnext3 = __SSAT(fnext3, 16);
/* Process fourth sample for 4th, 8th .. tap */
fnext4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fcurnt4;
fnext4 = __SSAT(fnext4, 16);
/* g4(n) = f3(n) * K4 + g3(n-1) */
/* Calculation of state values for next stage */
gnext4 = (q31_t) ((fcurnt4 * (*pk)) >> 15U) + gnext3;
gnext4 = __SSAT(gnext4, 16);
gnext3 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + gnext2;
gnext3 = __SSAT(gnext3, 16);
gnext2 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + gnext1;
gnext2 = __SSAT(gnext2, 16);
gnext1 = (q31_t) ((fcurnt1 * (*pk++)) >> 15U) + gcurnt1;
gnext1 = __SSAT(gnext1, 16);
/* Read g2(n-1), g4(n-1) .... from state */
gcurnt1 = *px;
/* save g4(n) in state buffer */
*px++ = (q15_t) gnext4;
/* Sample processing for K5, K9.... */
/* Process first sample for 5th, 9th .. tap */
/* f5(n) = f4(n) + K5 * g4(n-1) */
fcurnt1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fnext1;
fcurnt1 = __SSAT(fcurnt1, 16);
/* Process second sample for 5th, 9th .. tap */
fcurnt2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fnext2;
fcurnt2 = __SSAT(fcurnt2, 16);
/* Process third sample for 5th, 9th .. tap */
fcurnt3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fnext3;
fcurnt3 = __SSAT(fcurnt3, 16);
/* Process fourth sample for 5th, 9th .. tap */
fcurnt4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fnext4;
fcurnt4 = __SSAT(fcurnt4, 16);
/* Calculation of state values for next stage */
/* g5(n) = f4(n) * K5 + g4(n-1) */
gnext4 = (q31_t) ((fnext4 * (*pk)) >> 15U) + gnext3;
gnext4 = __SSAT(gnext4, 16);
gnext3 = (q31_t) ((fnext3 * (*pk)) >> 15U) + gnext2;
gnext3 = __SSAT(gnext3, 16);
gnext2 = (q31_t) ((fnext2 * (*pk)) >> 15U) + gnext1;
gnext2 = __SSAT(gnext2, 16);
gnext1 = (q31_t) ((fnext1 * (*pk++)) >> 15U) + gcurnt1;
gnext1 = __SSAT(gnext1, 16);
stageCnt--;
}
/* If the (filter length -1) is not a multiple of 4, compute the remaining filter taps */
stageCnt = (numStages - 1U) % 0x4U;
while (stageCnt > 0U)
{
gcurnt1 = *px;
/* save g value in state buffer */
*px++ = (q15_t) gnext4;
/* Process four samples for last three taps here */
fnext1 = (q31_t) ((gcurnt1 * (*pk)) >> 15U) + fcurnt1;
fnext1 = __SSAT(fnext1, 16);
fnext2 = (q31_t) ((gnext1 * (*pk)) >> 15U) + fcurnt2;
fnext2 = __SSAT(fnext2, 16);
fnext3 = (q31_t) ((gnext2 * (*pk)) >> 15U) + fcurnt3;
fnext3 = __SSAT(fnext3, 16);
fnext4 = (q31_t) ((gnext3 * (*pk)) >> 15U) + fcurnt4;
fnext4 = __SSAT(fnext4, 16);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext4 = (q31_t) ((fcurnt4 * (*pk)) >> 15U) + gnext3;
gnext4 = __SSAT(gnext4, 16);
gnext3 = (q31_t) ((fcurnt3 * (*pk)) >> 15U) + gnext2;
gnext3 = __SSAT(gnext3, 16);
gnext2 = (q31_t) ((fcurnt2 * (*pk)) >> 15U) + gnext1;
gnext2 = __SSAT(gnext2, 16);
gnext1 = (q31_t) ((fcurnt1 * (*pk++)) >> 15U) + gcurnt1;
gnext1 = __SSAT(gnext1, 16);
/* Update of f values for next coefficient set processing */
fcurnt1 = fnext1;
fcurnt2 = fnext2;
fcurnt3 = fnext3;
fcurnt4 = fnext4;
stageCnt--;
}
/* The results in the 4 accumulators, store in the destination buffer. */
/* y(n) = fN(n) */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pDst)++ = __PKHBT(fcurnt1, fcurnt2, 16);
*__SIMD32(pDst)++ = __PKHBT(fcurnt3, fcurnt4, 16);
#else
*__SIMD32(pDst)++ = __PKHBT(fcurnt2, fcurnt1, 16);
*__SIMD32(pDst)++ = __PKHBT(fcurnt4, fcurnt3, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* f0(n) = x(n) */
fcurnt1 = *pSrc++;
/* Initialize coeff pointer */
pk = (pCoeffs);
/* Initialize state pointer */
px = pState;
/* read g2(n) from state buffer */
gcurnt1 = *px;
/* for sample 1 processing */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext1 = (((q31_t) gcurnt1 * (*pk)) >> 15U) + fcurnt1;
fnext1 = __SSAT(fnext1, 16);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext1 = (((q31_t) fcurnt1 * (*pk++)) >> 15U) + gcurnt1;
gnext1 = __SSAT(gnext1, 16);
/* save g1(n) in state buffer */
*px++ = (q15_t) fcurnt1;
/* f1(n) is saved in fcurnt1
for next stage processing */
fcurnt1 = fnext1;
stageCnt = (numStages - 1U);
/* stage loop */
while (stageCnt > 0U)
{
/* read g2(n) from state buffer */
gcurnt1 = *px;
/* save g1(n) in state buffer */
*px++ = (q15_t) gnext1;
/* Sample processing for K2, K3.... */
/* f2(n) = f1(n) + K2 * g1(n-1) */
fnext1 = (((q31_t) gcurnt1 * (*pk)) >> 15U) + fcurnt1;
fnext1 = __SSAT(fnext1, 16);
/* g2(n) = f1(n) * K2 + g1(n-1) */
gnext1 = (((q31_t) fcurnt1 * (*pk++)) >> 15U) + gcurnt1;
gnext1 = __SSAT(gnext1, 16);
/* f1(n) is saved in fcurnt1
for next stage processing */
fcurnt1 = fnext1;
stageCnt--;
}
/* y(n) = fN(n) */
*pDst++ = __SSAT(fcurnt1, 16);
blkCnt--;
}
#else
/* Run the below code for Cortex-M0 */
q31_t fcurnt, fnext, gcurnt, gnext; /* temporary variables */
uint32_t numStages = S->numStages; /* Length of the filter */
uint32_t blkCnt, stageCnt; /* temporary variables for counts */
pState = &S->pState[0];
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* f0(n) = x(n) */
fcurnt = *pSrc++;
/* Initialize coeff pointer */
pk = (pCoeffs);
/* Initialize state pointer */
px = pState;
/* read g0(n-1) from state buffer */
gcurnt = *px;
/* for sample 1 processing */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext = ((gcurnt * (*pk)) >> 15U) + fcurnt;
fnext = __SSAT(fnext, 16);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext = ((fcurnt * (*pk++)) >> 15U) + gcurnt;
gnext = __SSAT(gnext, 16);
/* save f0(n) in state buffer */
*px++ = (q15_t) fcurnt;
/* f1(n) is saved in fcurnt
for next stage processing */
fcurnt = fnext;
stageCnt = (numStages - 1U);
/* stage loop */
while (stageCnt > 0U)
{
/* read g1(n-1) from state buffer */
gcurnt = *px;
/* save g0(n-1) in state buffer */
*px++ = (q15_t) gnext;
/* Sample processing for K2, K3.... */
/* f2(n) = f1(n) + K2 * g1(n-1) */
fnext = ((gcurnt * (*pk)) >> 15U) + fcurnt;
fnext = __SSAT(fnext, 16);
/* g2(n) = f1(n) * K2 + g1(n-1) */
gnext = ((fcurnt * (*pk++)) >> 15U) + gcurnt;
gnext = __SSAT(gnext, 16);
/* f1(n) is saved in fcurnt
for next stage processing */
fcurnt = fnext;
stageCnt--;
}
/* y(n) = fN(n) */
*pDst++ = __SSAT(fcurnt, 16);
blkCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR_Lattice group
*/

View File

@@ -1,341 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_lattice_q31.c
* Description: Q31 FIR lattice filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Lattice
* @{
*/
/**
* @brief Processing function for the Q31 FIR lattice filter.
* @param[in] *S points to an instance of the Q31 FIR lattice structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] blockSize number of samples to process.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
* In order to avoid overflows the input signal must be scaled down by 2*log2(numStages) bits.
*/
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
void arm_fir_lattice_q31(
const arm_fir_lattice_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *px; /* temporary state pointer */
q31_t *pk; /* temporary coefficient pointer */
q31_t fcurr1, fnext1, gcurr1 = 0, gnext1; /* temporary variables for first sample in loop unrolling */
q31_t fcurr2, fnext2, gnext2; /* temporary variables for second sample in loop unrolling */
uint32_t numStages = S->numStages; /* Length of the filter */
uint32_t blkCnt, stageCnt; /* temporary variables for counts */
q31_t k;
pState = &S->pState[0];
blkCnt = blockSize >> 1U;
/* First part of the processing with loop unrolling. Compute 2 outputs at a time.
a second loop below computes the remaining 1 sample. */
while (blkCnt > 0U)
{
/* f0(n) = x(n) */
fcurr1 = *pSrc++;
/* f0(n) = x(n) */
fcurr2 = *pSrc++;
/* Initialize coeff pointer */
pk = (pCoeffs);
/* Initialize state pointer */
px = pState;
/* read g0(n - 1) from state buffer */
gcurr1 = *px;
/* Read the reflection coefficient */
k = *pk++;
/* for sample 1 processing */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext1 = (q31_t) (((q63_t) gcurr1 * k) >> 32);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext1 = (q31_t) (((q63_t) fcurr1 * (k)) >> 32);
fnext1 = fcurr1 + (fnext1 << 1U);
gnext1 = gcurr1 + (gnext1 << 1U);
/* for sample 1 processing */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext2 = (q31_t) (((q63_t) fcurr1 * k) >> 32);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext2 = (q31_t) (((q63_t) fcurr2 * (k)) >> 32);
fnext2 = fcurr2 + (fnext2 << 1U);
gnext2 = fcurr1 + (gnext2 << 1U);
/* save g1(n) in state buffer */
*px++ = fcurr2;
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr1 = fnext1;
fcurr2 = fnext2;
stageCnt = (numStages - 1U);
/* stage loop */
while (stageCnt > 0U)
{
/* Read the reflection coefficient */
k = *pk++;
/* read g2(n) from state buffer */
gcurr1 = *px;
/* save g1(n) in state buffer */
*px++ = gnext2;
/* Sample processing for K2, K3.... */
/* f2(n) = f1(n) + K2 * g1(n-1) */
fnext1 = (q31_t) (((q63_t) gcurr1 * k) >> 32);
fnext2 = (q31_t) (((q63_t) gnext1 * k) >> 32);
fnext1 = fcurr1 + (fnext1 << 1U);
fnext2 = fcurr2 + (fnext2 << 1U);
/* g2(n) = f1(n) * K2 + g1(n-1) */
gnext2 = (q31_t) (((q63_t) fcurr2 * (k)) >> 32);
gnext2 = gnext1 + (gnext2 << 1U);
/* g2(n) = f1(n) * K2 + g1(n-1) */
gnext1 = (q31_t) (((q63_t) fcurr1 * (k)) >> 32);
gnext1 = gcurr1 + (gnext1 << 1U);
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr1 = fnext1;
fcurr2 = fnext2;
stageCnt--;
}
/* y(n) = fN(n) */
*pDst++ = fcurr1;
*pDst++ = fcurr2;
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x2U;
while (blkCnt > 0U)
{
/* f0(n) = x(n) */
fcurr1 = *pSrc++;
/* Initialize coeff pointer */
pk = (pCoeffs);
/* Initialize state pointer */
px = pState;
/* read g0(n - 1) from state buffer */
gcurr1 = *px;
/* Read the reflection coefficient */
k = *pk++;
/* for sample 1 processing */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext1 = (q31_t) (((q63_t) gcurr1 * k) >> 32);
fnext1 = fcurr1 + (fnext1 << 1U);
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext1 = (q31_t) (((q63_t) fcurr1 * (k)) >> 32);
gnext1 = gcurr1 + (gnext1 << 1U);
/* save g1(n) in state buffer */
*px++ = fcurr1;
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr1 = fnext1;
stageCnt = (numStages - 1U);
/* stage loop */
while (stageCnt > 0U)
{
/* Read the reflection coefficient */
k = *pk++;
/* read g2(n) from state buffer */
gcurr1 = *px;
/* save g1(n) in state buffer */
*px++ = gnext1;
/* Sample processing for K2, K3.... */
/* f2(n) = f1(n) + K2 * g1(n-1) */
fnext1 = (q31_t) (((q63_t) gcurr1 * k) >> 32);
fnext1 = fcurr1 + (fnext1 << 1U);
/* g2(n) = f1(n) * K2 + g1(n-1) */
gnext1 = (q31_t) (((q63_t) fcurr1 * (k)) >> 32);
gnext1 = gcurr1 + (gnext1 << 1U);
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr1 = fnext1;
stageCnt--;
}
/* y(n) = fN(n) */
*pDst++ = fcurr1;
blkCnt--;
}
}
#else
/* Run the below code for Cortex-M0 */
void arm_fir_lattice_q31(
const arm_fir_lattice_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *px; /* temporary state pointer */
q31_t *pk; /* temporary coefficient pointer */
q31_t fcurr, fnext, gcurr, gnext; /* temporary variables */
uint32_t numStages = S->numStages; /* Length of the filter */
uint32_t blkCnt, stageCnt; /* temporary variables for counts */
pState = &S->pState[0];
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* f0(n) = x(n) */
fcurr = *pSrc++;
/* Initialize coeff pointer */
pk = (pCoeffs);
/* Initialize state pointer */
px = pState;
/* read g0(n-1) from state buffer */
gcurr = *px;
/* for sample 1 processing */
/* f1(n) = f0(n) + K1 * g0(n-1) */
fnext = (q31_t) (((q63_t) gcurr * (*pk)) >> 31) + fcurr;
/* g1(n) = f0(n) * K1 + g0(n-1) */
gnext = (q31_t) (((q63_t) fcurr * (*pk++)) >> 31) + gcurr;
/* save g1(n) in state buffer */
*px++ = fcurr;
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr = fnext;
stageCnt = (numStages - 1U);
/* stage loop */
while (stageCnt > 0U)
{
/* read g2(n) from state buffer */
gcurr = *px;
/* save g1(n) in state buffer */
*px++ = gnext;
/* Sample processing for K2, K3.... */
/* f2(n) = f1(n) + K2 * g1(n-1) */
fnext = (q31_t) (((q63_t) gcurr * (*pk)) >> 31) + fcurr;
/* g2(n) = f1(n) * K2 + g1(n-1) */
gnext = (q31_t) (((q63_t) fcurr * (*pk++)) >> 31) + gcurr;
/* f1(n) is saved in fcurr1
for next stage processing */
fcurr = fnext;
stageCnt--;
}
/* y(n) = fN(n) */
*pDst++ = fcurr;
blkCnt--;
}
}
#endif /* #if defined (ARM_MATH_DSP) */
/**
* @} end of FIR_Lattice group
*/

View File

@@ -1,679 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_q15.c
* Description: Q15 FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @brief Processing function for the Q15 FIR filter.
* @param[in] *S points to an instance of the Q15 FIR structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
*
* \par Restrictions
* If the silicon does not support unaligned memory access enable the macro UNALIGNED_SUPPORT_DISABLE
* In this case input, output, state buffers should be aligned by 32-bit
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved.
* After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits.
* Lastly, the accumulator is saturated to yield a result in 1.15 format.
*
* \par
* Refer to the function <code>arm_fir_fast_q15()</code> for a faster but less precise implementation of this function.
*/
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
#ifndef UNALIGNED_SUPPORT_DISABLE
void arm_fir_q15(
const arm_fir_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *px1; /* Temporary q15 pointer for state buffer */
q15_t *pb; /* Temporary pointer for coefficient buffer */
q31_t x0, x1, x2, x3, c0; /* Temporary variables to hold SIMD state and coefficient values */
q63_t acc0, acc1, acc2, acc3; /* Accumulators */
uint32_t numTaps = S->numTaps; /* Number of taps in the filter */
uint32_t tapCnt, blkCnt; /* Loop counters */
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Apply loop unrolling and compute 4 output values simultaneously.
* The variables acc0 ... acc3 hold output values that are being computed:
*
* acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0]
* acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1]
* acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2]
* acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3]
*/
blkCnt = blockSize >> 2;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* Copy four new input samples into the state buffer.
** Use 32-bit SIMD to move the 16-bit data. Only requires two copies. */
*__SIMD32(pStateCurnt)++ = *__SIMD32(pSrc)++;
*__SIMD32(pStateCurnt)++ = *__SIMD32(pSrc)++;
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Initialize state pointer of type q15 */
px1 = pState;
/* Initialize coeff pointer of type q31 */
pb = pCoeffs;
/* Read the first two samples from the state buffer: x[n-N], x[n-N-1] */
x0 = _SIMD32_OFFSET(px1);
/* Read the third and forth samples from the state buffer: x[n-N-1], x[n-N-2] */
x1 = _SIMD32_OFFSET(px1 + 1U);
px1 += 2U;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-4 coefficients. */
tapCnt = numTaps >> 2;
while (tapCnt > 0U)
{
/* Read the first two coefficients using SIMD: b[N] and b[N-1] coefficients */
c0 = *__SIMD32(pb)++;
/* acc0 += b[N] * x[n-N] + b[N-1] * x[n-N-1] */
acc0 = __SMLALD(x0, c0, acc0);
/* acc1 += b[N] * x[n-N-1] + b[N-1] * x[n-N-2] */
acc1 = __SMLALD(x1, c0, acc1);
/* Read state x[n-N-2], x[n-N-3] */
x2 = _SIMD32_OFFSET(px1);
/* Read state x[n-N-3], x[n-N-4] */
x3 = _SIMD32_OFFSET(px1 + 1U);
/* acc2 += b[N] * x[n-N-2] + b[N-1] * x[n-N-3] */
acc2 = __SMLALD(x2, c0, acc2);
/* acc3 += b[N] * x[n-N-3] + b[N-1] * x[n-N-4] */
acc3 = __SMLALD(x3, c0, acc3);
/* Read coefficients b[N-2], b[N-3] */
c0 = *__SIMD32(pb)++;
/* acc0 += b[N-2] * x[n-N-2] + b[N-3] * x[n-N-3] */
acc0 = __SMLALD(x2, c0, acc0);
/* acc1 += b[N-2] * x[n-N-3] + b[N-3] * x[n-N-4] */
acc1 = __SMLALD(x3, c0, acc1);
/* Read state x[n-N-4], x[n-N-5] */
x0 = _SIMD32_OFFSET(px1 + 2U);
/* Read state x[n-N-5], x[n-N-6] */
x1 = _SIMD32_OFFSET(px1 + 3U);
/* acc2 += b[N-2] * x[n-N-4] + b[N-3] * x[n-N-5] */
acc2 = __SMLALD(x0, c0, acc2);
/* acc3 += b[N-2] * x[n-N-5] + b[N-3] * x[n-N-6] */
acc3 = __SMLALD(x1, c0, acc3);
px1 += 4U;
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps.
** This is always be 2 taps since the filter length is even. */
if ((numTaps & 0x3U) != 0U)
{
/* Read 2 coefficients */
c0 = *__SIMD32(pb)++;
/* Fetch 4 state variables */
x2 = _SIMD32_OFFSET(px1);
x3 = _SIMD32_OFFSET(px1 + 1U);
/* Perform the multiply-accumulates */
acc0 = __SMLALD(x0, c0, acc0);
px1 += 2U;
acc1 = __SMLALD(x1, c0, acc1);
acc2 = __SMLALD(x2, c0, acc2);
acc3 = __SMLALD(x3, c0, acc3);
}
/* The results in the 4 accumulators are in 2.30 format. Convert to 1.15 with saturation.
** Then store the 4 outputs in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Advance the state pointer by 4 to process the next group of 4 samples */
pState = pState + 4;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Copy two samples into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc0 = 0;
/* Initialize state pointer of type q15 */
px1 = pState;
/* Initialize coeff pointer of type q31 */
pb = pCoeffs;
tapCnt = numTaps >> 1;
do
{
c0 = *__SIMD32(pb)++;
x0 = *__SIMD32(px1)++;
acc0 = __SMLALD(x0, c0, acc0);
tapCnt--;
}
while (tapCnt > 0U);
/* The result is in 2.30 format. Convert to 1.15 with saturation.
** Then store the output in the destination buffer. */
*pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Calculation of count for copying integer writes */
tapCnt = (numTaps - 1U) >> 2;
while (tapCnt > 0U)
{
/* Copy state values to start of state buffer */
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
tapCnt--;
}
/* Calculation of count for remaining q15_t data */
tapCnt = (numTaps - 1U) % 0x4U;
/* copy remaining data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#else /* UNALIGNED_SUPPORT_DISABLE */
void arm_fir_q15(
const arm_fir_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q63_t acc0, acc1, acc2, acc3; /* Accumulators */
q15_t *pb; /* Temporary pointer for coefficient buffer */
q15_t *px; /* Temporary q31 pointer for SIMD state buffer accesses */
q31_t x0, x1, x2, c0; /* Temporary variables to hold SIMD state and coefficient values */
uint32_t numTaps = S->numTaps; /* Number of taps in the filter */
uint32_t tapCnt, blkCnt; /* Loop counters */
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Apply loop unrolling and compute 4 output values simultaneously.
* The variables acc0 ... acc3 hold output values that are being computed:
*
* acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0]
* acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1]
* acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2]
* acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3]
*/
blkCnt = blockSize >> 2;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* Copy four new input samples into the state buffer.
** Use 32-bit SIMD to move the 16-bit data. Only requires two copies. */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Typecast q15_t pointer to q31_t pointer for state reading in q31_t */
px = pState;
/* Typecast q15_t pointer to q31_t pointer for coefficient reading in q31_t */
pb = pCoeffs;
/* Read the first two samples from the state buffer: x[n-N], x[n-N-1] */
x0 = *__SIMD32(px)++;
/* Read the third and forth samples from the state buffer: x[n-N-2], x[n-N-3] */
x2 = *__SIMD32(px)++;
/* Loop over the number of taps. Unroll by a factor of 4.
** Repeat until we've computed numTaps-(numTaps%4) coefficients. */
tapCnt = numTaps >> 2;
while (tapCnt > 0)
{
/* Read the first two coefficients using SIMD: b[N] and b[N-1] coefficients */
c0 = *__SIMD32(pb)++;
/* acc0 += b[N] * x[n-N] + b[N-1] * x[n-N-1] */
acc0 = __SMLALD(x0, c0, acc0);
/* acc2 += b[N] * x[n-N-2] + b[N-1] * x[n-N-3] */
acc2 = __SMLALD(x2, c0, acc2);
/* pack x[n-N-1] and x[n-N-2] */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x2, x0, 0);
#else
x1 = __PKHBT(x0, x2, 0);
#endif
/* Read state x[n-N-4], x[n-N-5] */
x0 = _SIMD32_OFFSET(px);
/* acc1 += b[N] * x[n-N-1] + b[N-1] * x[n-N-2] */
acc1 = __SMLALDX(x1, c0, acc1);
/* pack x[n-N-3] and x[n-N-4] */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x0, x2, 0);
#else
x1 = __PKHBT(x2, x0, 0);
#endif
/* acc3 += b[N] * x[n-N-3] + b[N-1] * x[n-N-4] */
acc3 = __SMLALDX(x1, c0, acc3);
/* Read coefficients b[N-2], b[N-3] */
c0 = *__SIMD32(pb)++;
/* acc0 += b[N-2] * x[n-N-2] + b[N-3] * x[n-N-3] */
acc0 = __SMLALD(x2, c0, acc0);
/* Read state x[n-N-6], x[n-N-7] with offset */
x2 = _SIMD32_OFFSET(px + 2U);
/* acc2 += b[N-2] * x[n-N-4] + b[N-3] * x[n-N-5] */
acc2 = __SMLALD(x0, c0, acc2);
/* acc1 += b[N-2] * x[n-N-3] + b[N-3] * x[n-N-4] */
acc1 = __SMLALDX(x1, c0, acc1);
/* pack x[n-N-5] and x[n-N-6] */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x2, x0, 0);
#else
x1 = __PKHBT(x0, x2, 0);
#endif
/* acc3 += b[N-2] * x[n-N-5] + b[N-3] * x[n-N-6] */
acc3 = __SMLALDX(x1, c0, acc3);
/* Update state pointer for next state reading */
px += 4U;
/* Decrement tap count */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps.
** This is always be 2 taps since the filter length is even. */
if ((numTaps & 0x3U) != 0U)
{
/* Read last two coefficients */
c0 = *__SIMD32(pb)++;
/* Perform the multiply-accumulates */
acc0 = __SMLALD(x0, c0, acc0);
acc2 = __SMLALD(x2, c0, acc2);
/* pack state variables */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x2, x0, 0);
#else
x1 = __PKHBT(x0, x2, 0);
#endif
/* Read last state variables */
x0 = *__SIMD32(px);
/* Perform the multiply-accumulates */
acc1 = __SMLALDX(x1, c0, acc1);
/* pack state variables */
#ifndef ARM_MATH_BIG_ENDIAN
x1 = __PKHBT(x0, x2, 0);
#else
x1 = __PKHBT(x2, x0, 0);
#endif
/* Perform the multiply-accumulates */
acc3 = __SMLALDX(x1, c0, acc3);
}
/* The results in the 4 accumulators are in 2.30 format. Convert to 1.15 with saturation.
** Then store the 4 outputs in the destination buffer. */
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc0 >> 15), 16), __SSAT((acc1 >> 15), 16), 16);
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc2 >> 15), 16), __SSAT((acc3 >> 15), 16), 16);
#else
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc1 >> 15), 16), __SSAT((acc0 >> 15), 16), 16);
*__SIMD32(pDst)++ =
__PKHBT(__SSAT((acc3 >> 15), 16), __SSAT((acc2 >> 15), 16), 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* Advance the state pointer by 4 to process the next group of 4 samples */
pState = pState + 4;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Copy two samples into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc0 = 0;
/* Use SIMD to hold states and coefficients */
px = pState;
pb = pCoeffs;
tapCnt = numTaps >> 1U;
do
{
acc0 += (q31_t) * px++ * *pb++;
acc0 += (q31_t) * px++ * *pb++;
tapCnt--;
}
while (tapCnt > 0U);
/* The result is in 2.30 format. Convert to 1.15 with saturation.
** Then store the output in the destination buffer. */
*pDst++ = (q15_t) (__SSAT((acc0 >> 15), 16));
/* Advance state pointer by 1 for the next sample */
pState = pState + 1U;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Calculation of count for copying integer writes */
tapCnt = (numTaps - 1U) >> 2;
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
tapCnt--;
}
/* Calculation of count for remaining q15_t data */
tapCnt = (numTaps - 1U) % 0x4U;
/* copy remaining data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
#else /* ARM_MATH_CM0_FAMILY */
/* Run the below code for Cortex-M0 */
void arm_fir_q15(
const arm_fir_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *px; /* Temporary pointer for state buffer */
q15_t *pb; /* Temporary pointer for coefficient buffer */
q63_t acc; /* Accumulator */
uint32_t numTaps = S->numTaps; /* Number of nTaps in the filter */
uint32_t tapCnt, blkCnt; /* Loop counters */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Initialize blkCnt with blockSize */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc = 0;
/* Initialize state pointer */
px = pState;
/* Initialize Coefficient pointer */
pb = pCoeffs;
tapCnt = numTaps;
/* Perform the multiply-accumulates */
do
{
/* acc = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] */
acc += (q31_t) * px++ * *pb++;
tapCnt--;
} while (tapCnt > 0U);
/* The result is in 2.30 format. Convert to 1.15
** Then store the output in the destination buffer. */
*pDst++ = (q15_t) __SSAT((acc >> 15U), 16);
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the samples loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Copy numTaps number of values */
tapCnt = (numTaps - 1U);
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#endif /* #if defined (ARM_MATH_DSP) */
/**
* @} end of FIR group
*/

View File

@@ -1,353 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_q31.c
* Description: Q31 FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @param[in] *S points to an instance of the Q31 FIR filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around rather than clip.
* In order to avoid overflows completely the input signal must be scaled down by log2(numTaps) bits.
* After all multiply-accumulates are performed, the 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result.
*
* \par
* Refer to the function <code>arm_fir_fast_q31()</code> for a faster but less precise implementation of this filter for Cortex-M3 and Cortex-M4.
*/
void arm_fir_q31(
const arm_fir_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *pStateCurnt; /* Points to the current sample of the state */
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q31_t x0, x1, x2; /* Temporary variables to hold state */
q31_t c0; /* Temporary variable to hold coefficient value */
q31_t *px; /* Temporary pointer for state */
q31_t *pb; /* Temporary pointer for coefficient buffer */
q63_t acc0, acc1, acc2; /* Accumulators */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t i, tapCnt, blkCnt, tapCntN3; /* Loop counters */
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Apply loop unrolling and compute 4 output values simultaneously.
* The variables acc0 ... acc3 hold output values that are being computed:
*
* acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0]
* acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1]
* acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2]
* acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3]
*/
blkCnt = blockSize / 3;
blockSize = blockSize - (3 * blkCnt);
tapCnt = numTaps / 3;
tapCntN3 = numTaps - (3 * tapCnt);
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* Copy three new input samples into the state buffer */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coefficient pointer */
pb = pCoeffs;
/* Read the first two samples from the state buffer:
* x[n-numTaps], x[n-numTaps-1] */
x0 = *(px++);
x1 = *(px++);
/* Loop unrolling. Process 3 taps at a time. */
i = tapCnt;
while (i > 0U)
{
/* Read the b[numTaps] coefficient */
c0 = *pb;
/* Read x[n-numTaps-2] sample */
x2 = *(px++);
/* Perform the multiply-accumulates */
acc0 += ((q63_t) x0 * c0);
acc1 += ((q63_t) x1 * c0);
acc2 += ((q63_t) x2 * c0);
/* Read the coefficient and state */
c0 = *(pb + 1U);
x0 = *(px++);
/* Perform the multiply-accumulates */
acc0 += ((q63_t) x1 * c0);
acc1 += ((q63_t) x2 * c0);
acc2 += ((q63_t) x0 * c0);
/* Read the coefficient and state */
c0 = *(pb + 2U);
x1 = *(px++);
/* update coefficient pointer */
pb += 3U;
/* Perform the multiply-accumulates */
acc0 += ((q63_t) x2 * c0);
acc1 += ((q63_t) x0 * c0);
acc2 += ((q63_t) x1 * c0);
/* Decrement the loop counter */
i--;
}
/* If the filter length is not a multiple of 3, compute the remaining filter taps */
i = tapCntN3;
while (i > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x2 = *(px++);
/* Perform the multiply-accumulates */
acc0 += ((q63_t) x0 * c0);
acc1 += ((q63_t) x1 * c0);
acc2 += ((q63_t) x2 * c0);
/* Reuse the present sample states for next sample */
x0 = x1;
x1 = x2;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 3 to process the next group of 3 samples */
pState = pState + 3;
/* The results in the 3 accumulators are in 2.30 format. Convert to 1.31
** Then store the 3 outputs in the destination buffer. */
*pDst++ = (q31_t) (acc0 >> 31U);
*pDst++ = (q31_t) (acc1 >> 31U);
*pDst++ = (q31_t) (acc2 >> 31U);
/* Decrement the samples loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 3, compute any remaining output samples here.
** No loop unrolling is used. */
while (blockSize > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize Coefficient pointer */
pb = (pCoeffs);
i = numTaps;
/* Perform the multiply-accumulates */
do
{
acc0 += (q63_t) * (px++) * (*(pb++));
i--;
} while (i > 0U);
/* The result is in 2.62 format. Convert to 1.31
** Then store the output in the destination buffer. */
*pDst++ = (q31_t) (acc0 >> 31U);
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the samples loop counter */
blockSize--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
tapCnt = (numTaps - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#else
/* Run the below code for Cortex-M0 */
q31_t *px; /* Temporary pointer for state */
q31_t *pb; /* Temporary pointer for coefficient buffer */
q63_t acc; /* Accumulator */
uint32_t numTaps = S->numTaps; /* Length of the filter */
uint32_t i, tapCnt, blkCnt; /* Loop counters */
/* S->pState buffer contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Initialize blkCnt with blockSize */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc = 0;
/* Initialize state pointer */
px = pState;
/* Initialize Coefficient pointer */
pb = pCoeffs;
i = numTaps;
/* Perform the multiply-accumulates */
do
{
/* acc = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] */
acc += (q63_t) * px++ * *pb++;
i--;
} while (i > 0U);
/* The result is in 2.62 format. Convert to 1.31
** Then store the output in the destination buffer. */
*pDst++ = (q31_t) (acc >> 31U);
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the samples loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the starting of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Copy numTaps number of values */
tapCnt = numTaps - 1U;
/* Copy the data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR group
*/

View File

@@ -1,385 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_q7.c
* Description: Q7 FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR
* @{
*/
/**
* @param[in] *S points to an instance of the Q7 FIR filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using a 32-bit internal accumulator.
* Both coefficients and state variables are represented in 1.7 format and multiplications yield a 2.14 result.
* The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format.
* There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved.
* The accumulator is converted to 18.7 format by discarding the low 7 bits.
* Finally, the result is truncated to 1.7 format.
*/
void arm_fir_q7(
const arm_fir_instance_q7 * S,
q7_t * pSrc,
q7_t * pDst,
uint32_t blockSize)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q7_t *pState = S->pState; /* State pointer */
q7_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q7_t *pStateCurnt; /* Points to the current sample of the state */
q7_t x0, x1, x2, x3; /* Temporary variables to hold state */
q7_t c0; /* Temporary variable to hold coefficient value */
q7_t *px; /* Temporary pointer for state */
q7_t *pb; /* Temporary pointer for coefficient buffer */
q31_t acc0, acc1, acc2, acc3; /* Accumulators */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t i, tapCnt, blkCnt; /* Loop counters */
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Apply loop unrolling and compute 4 output values simultaneously.
* The variables acc0 ... acc3 hold output values that are being computed:
*
* acc0 = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0]
* acc1 = b[numTaps-1] * x[n-numTaps] + b[numTaps-2] * x[n-numTaps-1] + b[numTaps-3] * x[n-numTaps-2] +...+ b[0] * x[1]
* acc2 = b[numTaps-1] * x[n-numTaps+1] + b[numTaps-2] * x[n-numTaps] + b[numTaps-3] * x[n-numTaps-1] +...+ b[0] * x[2]
* acc3 = b[numTaps-1] * x[n-numTaps+2] + b[numTaps-2] * x[n-numTaps+1] + b[numTaps-3] * x[n-numTaps] +...+ b[0] * x[3]
*/
blkCnt = blockSize >> 2;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* Copy four new input samples into the state buffer */
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
*pStateCurnt++ = *pSrc++;
/* Set all accumulators to zero */
acc0 = 0;
acc1 = 0;
acc2 = 0;
acc3 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize coefficient pointer */
pb = pCoeffs;
/* Read the first three samples from the state buffer:
* x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2] */
x0 = *(px++);
x1 = *(px++);
x2 = *(px++);
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
i = tapCnt;
while (i > 0U)
{
/* Read the b[numTaps] coefficient */
c0 = *pb;
/* Read x[n-numTaps-3] sample */
x3 = *px;
/* acc0 += b[numTaps] * x[n-numTaps] */
acc0 += ((q15_t) x0 * c0);
/* acc1 += b[numTaps] * x[n-numTaps-1] */
acc1 += ((q15_t) x1 * c0);
/* acc2 += b[numTaps] * x[n-numTaps-2] */
acc2 += ((q15_t) x2 * c0);
/* acc3 += b[numTaps] * x[n-numTaps-3] */
acc3 += ((q15_t) x3 * c0);
/* Read the b[numTaps-1] coefficient */
c0 = *(pb + 1U);
/* Read x[n-numTaps-4] sample */
x0 = *(px + 1U);
/* Perform the multiply-accumulates */
acc0 += ((q15_t) x1 * c0);
acc1 += ((q15_t) x2 * c0);
acc2 += ((q15_t) x3 * c0);
acc3 += ((q15_t) x0 * c0);
/* Read the b[numTaps-2] coefficient */
c0 = *(pb + 2U);
/* Read x[n-numTaps-5] sample */
x1 = *(px + 2U);
/* Perform the multiply-accumulates */
acc0 += ((q15_t) x2 * c0);
acc1 += ((q15_t) x3 * c0);
acc2 += ((q15_t) x0 * c0);
acc3 += ((q15_t) x1 * c0);
/* Read the b[numTaps-3] coefficients */
c0 = *(pb + 3U);
/* Read x[n-numTaps-6] sample */
x2 = *(px + 3U);
/* Perform the multiply-accumulates */
acc0 += ((q15_t) x3 * c0);
acc1 += ((q15_t) x0 * c0);
acc2 += ((q15_t) x1 * c0);
acc3 += ((q15_t) x2 * c0);
/* update coefficient pointer */
pb += 4U;
px += 4U;
/* Decrement the loop counter */
i--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
i = numTaps - (tapCnt * 4U);
while (i > 0U)
{
/* Read coefficients */
c0 = *(pb++);
/* Fetch 1 state variable */
x3 = *(px++);
/* Perform the multiply-accumulates */
acc0 += ((q15_t) x0 * c0);
acc1 += ((q15_t) x1 * c0);
acc2 += ((q15_t) x2 * c0);
acc3 += ((q15_t) x3 * c0);
/* Reuse the present sample states for next sample */
x0 = x1;
x1 = x2;
x2 = x3;
/* Decrement the loop counter */
i--;
}
/* Advance the state pointer by 4 to process the next group of 4 samples */
pState = pState + 4;
/* The results in the 4 accumulators are in 2.62 format. Convert to 1.31
** Then store the 4 outputs in the destination buffer. */
acc0 = __SSAT((acc0 >> 7U), 8);
*pDst++ = acc0;
acc1 = __SSAT((acc1 >> 7U), 8);
*pDst++ = acc1;
acc2 = __SSAT((acc2 >> 7U), 8);
*pDst++ = acc2;
acc3 = __SSAT((acc3 >> 7U), 8);
*pDst++ = acc3;
/* Decrement the samples loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize % 4U;
while (blkCnt > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set the accumulator to zero */
acc0 = 0;
/* Initialize state pointer */
px = pState;
/* Initialize Coefficient pointer */
pb = (pCoeffs);
i = numTaps;
/* Perform the multiply-accumulates */
do
{
acc0 += (q15_t) * (px++) * (*(pb++));
i--;
} while (i > 0U);
/* The result is in 2.14 format. Convert to 1.7
** Then store the output in the destination buffer. */
*pDst++ = __SSAT((acc0 >> 7U), 8);
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the samples loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
tapCnt = (numTaps - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#else
/* Run the below code for Cortex-M0 */
uint32_t numTaps = S->numTaps; /* Number of taps in the filter */
uint32_t i, blkCnt; /* Loop counters */
q7_t *pState = S->pState; /* State pointer */
q7_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q7_t *px, *pb; /* Temporary pointers to state and coeff */
q31_t acc = 0; /* Accumlator */
q7_t *pStateCurnt; /* Points to the current sample of the state */
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = S->pState + (numTaps - 1U);
/* Initialize blkCnt with blockSize */
blkCnt = blockSize;
/* Perform filtering upto BlockSize - BlockSize%4 */
while (blkCnt > 0U)
{
/* Copy one sample at a time into state buffer */
*pStateCurnt++ = *pSrc++;
/* Set accumulator to zero */
acc = 0;
/* Initialize state pointer of type q7 */
px = pState;
/* Initialize coeff pointer of type q7 */
pb = pCoeffs;
i = numTaps;
while (i > 0U)
{
/* acc = b[numTaps-1] * x[n-numTaps-1] + b[numTaps-2] * x[n-numTaps-2] + b[numTaps-3] * x[n-numTaps-3] +...+ b[0] * x[0] */
acc += (q15_t) * px++ * *pb++;
i--;
}
/* Store the 1.7 format filter output in destination buffer */
*pDst++ = (q7_t) __SSAT((acc >> 7), 8);
/* Advance the state pointer by 1 to process the next sample */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete.
** Now copy the last numTaps - 1 samples to the satrt of the state buffer.
** This prepares the state buffer for the next function call. */
/* Points to the start of the state buffer */
pStateCurnt = S->pState;
/* Copy numTaps number of values */
i = (numTaps - 1U);
/* Copy q7_t data */
while (i > 0U)
{
*pStateCurnt++ = *pState++;
i--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR group
*/

View File

@@ -1,433 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_sparse_f32.c
* Description: Floating-point sparse FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup FIR_Sparse Finite Impulse Response (FIR) Sparse Filters
*
* This group of functions implements sparse FIR filters.
* Sparse FIR filters are equivalent to standard FIR filters except that most of the coefficients are equal to zero.
* Sparse filters are used for simulating reflections in communications and audio applications.
*
* There are separate functions for Q7, Q15, Q31, and floating-point data types.
* The functions operate on blocks of input and output data and each call to the function processes
* <code>blockSize</code> samples through the filter. <code>pSrc</code> and
* <code>pDst</code> points to input and output arrays respectively containing <code>blockSize</code> values.
*
* \par Algorithm:
* The sparse filter instant structure contains an array of tap indices <code>pTapDelay</code> which specifies the locations of the non-zero coefficients.
* This is in addition to the coefficient array <code>b</code>.
* The implementation essentially skips the multiplications by zero and leads to an efficient realization.
* <pre>
* y[n] = b[0] * x[n-pTapDelay[0]] + b[1] * x[n-pTapDelay[1]] + b[2] * x[n-pTapDelay[2]] + ...+ b[numTaps-1] * x[n-pTapDelay[numTaps-1]]
* </pre>
* \par
* \image html FIRSparse.gif "Sparse FIR filter. b[n] represents the filter coefficients"
* \par
* <code>pCoeffs</code> points to a coefficient array of size <code>numTaps</code>;
* <code>pTapDelay</code> points to an array of nonzero indices and is also of size <code>numTaps</code>;
* <code>pState</code> points to a state array of size <code>maxDelay + blockSize</code>, where
* <code>maxDelay</code> is the largest offset value that is ever used in the <code>pTapDelay</code> array.
* Some of the processing functions also require temporary working buffers.
*
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient and offset arrays may be shared among several instances while state variable arrays cannot be shared.
* There are separate instance structure declarations for each of the 4 supported data types.
*
* \par Initialization Functions
* There is also an associated initialization function for each data type.
* The initialization function performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numTaps, pCoeffs, pTapDelay, maxDelay, stateIndex, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros before static initialization.
* The code below statically initializes each of the 4 different data type filter instance structures
* <pre>
*arm_fir_sparse_instance_f32 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};
*arm_fir_sparse_instance_q31 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};
*arm_fir_sparse_instance_q15 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};
*arm_fir_sparse_instance_q7 S = {numTaps, 0, pState, pCoeffs, maxDelay, pTapDelay};
* </pre>
* \par
*
* \par Fixed-Point Behavior
* Care must be taken when using the fixed-point versions of the sparse FIR filter functions.
* In particular, the overflow and saturation behavior of the accumulator used in each function must be considered.
* Refer to the function specific documentation below for usage guidelines.
*/
/**
* @addtogroup FIR_Sparse
* @{
*/
/**
* @brief Processing function for the floating-point sparse FIR filter.
* @param[in] *S points to an instance of the floating-point sparse FIR structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] *pScratchIn points to a temporary buffer of size blockSize.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*/
void arm_fir_sparse_f32(
arm_fir_sparse_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
float32_t * pScratchIn,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *px; /* Scratch buffer pointer */
float32_t *py = pState; /* Temporary pointers for state buffer */
float32_t *pb = pScratchIn; /* Temporary pointers for scratch buffer */
float32_t *pOut; /* Destination pointer */
int32_t *pTapDelay = S->pTapDelay; /* Pointer to the array containing offset of the non-zero tap values. */
uint32_t delaySize = S->maxDelay + blockSize; /* state length */
uint16_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
int32_t readIndex; /* Read index of the state buffer */
uint32_t tapCnt, blkCnt; /* loop counters */
float32_t coeff = *pCoeffs++; /* Read the first coefficient value */
/* BlockSize of Input samples are copied into the state buffer */
/* StateIndex points to the starting position to write in the state buffer */
arm_circularWrite_f32((int32_t *) py, delaySize, &S->stateIndex, 1,
(int32_t *) pSrc, 1, blockSize);
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer */
px = pb;
/* Working pointer for destination buffer */
pOut = pDst;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 Multiplications at a time. */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U)
{
/* Perform Multiplications and store in destination buffer */
*pOut++ = *px++ * coeff;
*pOut++ = *px++ * coeff;
*pOut++ = *px++ * coeff;
*pOut++ = *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiplications and store in destination buffer */
*pOut++ = *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Loop over the number of taps. */
tapCnt = (uint32_t) numTaps - 2U;
while (tapCnt > 0U)
{
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer */
px = pb;
/* Working pointer for destination buffer */
pOut = pDst;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 MACS at a time. */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pOut++ += *px++ * coeff;
*pOut++ += *px++ * coeff;
*pOut++ += *px++ * coeff;
*pOut++ += *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pOut++ += *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex -
(int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Decrement the tap loop counter */
tapCnt--;
}
/* Compute last tap without the final read of pTapDelay */
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer */
px = pb;
/* Working pointer for destination buffer */
pOut = pDst;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 MACS at a time. */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pOut++ += *px++ * coeff;
*pOut++ += *px++ * coeff;
*pOut++ += *px++ * coeff;
*pOut++ += *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pOut++ += *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
#else
/* Run the below code for Cortex-M0 */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiplications and store in destination buffer */
*pOut++ = *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Loop over the number of taps. */
tapCnt = (uint32_t) numTaps - 2U;
while (tapCnt > 0U)
{
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer */
px = pb;
/* Working pointer for destination buffer */
pOut = pDst;
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pOut++ += *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex =
((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Decrement the tap loop counter */
tapCnt--;
}
/* Compute last tap without the final read of pTapDelay */
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer */
px = pb;
/* Working pointer for destination buffer */
pOut = pDst;
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pOut++ += *px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR_Sparse group
*/

View File

@@ -1,95 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_sparse_init_f32.c
* Description: Floating-point sparse FIR filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Sparse
* @{
*/
/**
* @brief Initialization function for the floating-point sparse FIR filter.
* @param[in,out] *S points to an instance of the floating-point sparse FIR structure.
* @param[in] numTaps number of nonzero coefficients in the filter.
* @param[in] *pCoeffs points to the array of filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] *pTapDelay points to the array of offset times.
* @param[in] maxDelay maximum offset time supported.
* @param[in] blockSize number of samples that will be processed per block.
* @return none
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> holds the filter coefficients and has length <code>numTaps</code>.
* <code>pState</code> holds the filter's state variables and must be of length
* <code>maxDelay + blockSize</code>, where <code>maxDelay</code>
* is the maximum number of delay line values.
* <code>blockSize</code> is the
* number of samples processed by the <code>arm_fir_sparse_f32()</code> function.
*/
void arm_fir_sparse_init_f32(
arm_fir_sparse_instance_f32 * S,
uint16_t numTaps,
float32_t * pCoeffs,
float32_t * pState,
int32_t * pTapDelay,
uint16_t maxDelay,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Assign TapDelay pointer */
S->pTapDelay = pTapDelay;
/* Assign MaxDelay */
S->maxDelay = maxDelay;
/* reset the stateIndex to 0 */
S->stateIndex = 0U;
/* Clear state buffer and size is always maxDelay + blockSize */
memset(pState, 0, (maxDelay + blockSize) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR_Sparse group
*/

View File

@@ -1,95 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_sparse_init_q15.c
* Description: Q15 sparse FIR filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Sparse
* @{
*/
/**
* @brief Initialization function for the Q15 sparse FIR filter.
* @param[in,out] *S points to an instance of the Q15 sparse FIR structure.
* @param[in] numTaps number of nonzero coefficients in the filter.
* @param[in] *pCoeffs points to the array of filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] *pTapDelay points to the array of offset times.
* @param[in] maxDelay maximum offset time supported.
* @param[in] blockSize number of samples that will be processed per block.
* @return none
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> holds the filter coefficients and has length <code>numTaps</code>.
* <code>pState</code> holds the filter's state variables and must be of length
* <code>maxDelay + blockSize</code>, where <code>maxDelay</code>
* is the maximum number of delay line values.
* <code>blockSize</code> is the
* number of words processed by <code>arm_fir_sparse_q15()</code> function.
*/
void arm_fir_sparse_init_q15(
arm_fir_sparse_instance_q15 * S,
uint16_t numTaps,
q15_t * pCoeffs,
q15_t * pState,
int32_t * pTapDelay,
uint16_t maxDelay,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Assign TapDelay pointer */
S->pTapDelay = pTapDelay;
/* Assign MaxDelay */
S->maxDelay = maxDelay;
/* reset the stateIndex to 0 */
S->stateIndex = 0U;
/* Clear state buffer and size is always maxDelay + blockSize */
memset(pState, 0, (maxDelay + blockSize) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR_Sparse group
*/

View File

@@ -1,94 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_sparse_init_q31.c
* Description: Q31 sparse FIR filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Sparse
* @{
*/
/**
* @brief Initialization function for the Q31 sparse FIR filter.
* @param[in,out] *S points to an instance of the Q31 sparse FIR structure.
* @param[in] numTaps number of nonzero coefficients in the filter.
* @param[in] *pCoeffs points to the array of filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] *pTapDelay points to the array of offset times.
* @param[in] maxDelay maximum offset time supported.
* @param[in] blockSize number of samples that will be processed per block.
* @return none
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> holds the filter coefficients and has length <code>numTaps</code>.
* <code>pState</code> holds the filter's state variables and must be of length
* <code>maxDelay + blockSize</code>, where <code>maxDelay</code>
* is the maximum number of delay line values.
* <code>blockSize</code> is the number of words processed by <code>arm_fir_sparse_q31()</code> function.
*/
void arm_fir_sparse_init_q31(
arm_fir_sparse_instance_q31 * S,
uint16_t numTaps,
q31_t * pCoeffs,
q31_t * pState,
int32_t * pTapDelay,
uint16_t maxDelay,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Assign TapDelay pointer */
S->pTapDelay = pTapDelay;
/* Assign MaxDelay */
S->maxDelay = maxDelay;
/* reset the stateIndex to 0 */
S->stateIndex = 0U;
/* Clear state buffer and size is always maxDelay + blockSize */
memset(pState, 0, (maxDelay + blockSize) * sizeof(q31_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR_Sparse group
*/

View File

@@ -1,95 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_sparse_init_q7.c
* Description: Q7 sparse FIR filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Sparse
* @{
*/
/**
* @brief Initialization function for the Q7 sparse FIR filter.
* @param[in,out] *S points to an instance of the Q7 sparse FIR structure.
* @param[in] numTaps number of nonzero coefficients in the filter.
* @param[in] *pCoeffs points to the array of filter coefficients.
* @param[in] *pState points to the state buffer.
* @param[in] *pTapDelay points to the array of offset times.
* @param[in] maxDelay maximum offset time supported.
* @param[in] blockSize number of samples that will be processed per block.
* @return none
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> holds the filter coefficients and has length <code>numTaps</code>.
* <code>pState</code> holds the filter's state variables and must be of length
* <code>maxDelay + blockSize</code>, where <code>maxDelay</code>
* is the maximum number of delay line values.
* <code>blockSize</code> is the
* number of samples processed by the <code>arm_fir_sparse_q7()</code> function.
*/
void arm_fir_sparse_init_q7(
arm_fir_sparse_instance_q7 * S,
uint16_t numTaps,
q7_t * pCoeffs,
q7_t * pState,
int32_t * pTapDelay,
uint16_t maxDelay,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Assign TapDelay pointer */
S->pTapDelay = pTapDelay;
/* Assign MaxDelay */
S->maxDelay = maxDelay;
/* reset the stateIndex to 0 */
S->stateIndex = 0U;
/* Clear state buffer and size is always maxDelay + blockSize */
memset(pState, 0, (maxDelay + blockSize) * sizeof(q7_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of FIR_Sparse group
*/

View File

@@ -1,470 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_sparse_q15.c
* Description: Q15 sparse FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @addtogroup FIR_Sparse
* @{
*/
/**
* @brief Processing function for the Q15 sparse FIR filter.
* @param[in] *S points to an instance of the Q15 sparse FIR structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] *pScratchIn points to a temporary buffer of size blockSize.
* @param[in] *pScratchOut points to a temporary buffer of size blockSize.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using an internal 32-bit accumulator.
* The 1.15 x 1.15 multiplications yield a 2.30 result and these are added to a 2.30 accumulator.
* Thus the full precision of the multiplications is maintained but there is only a single guard bit in the accumulator.
* If the accumulator result overflows it will wrap around rather than saturate.
* After all multiply-accumulates are performed, the 2.30 accumulator is truncated to 2.15 format and then saturated to 1.15 format.
* In order to avoid overflows the input signal or coefficients must be scaled down by log2(numTaps) bits.
*/
void arm_fir_sparse_q15(
arm_fir_sparse_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
q15_t * pScratchIn,
q31_t * pScratchOut,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pIn = pSrc; /* Working pointer for input */
q15_t *pOut = pDst; /* Working pointer for output */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *px; /* Temporary pointers for scratch buffer */
q15_t *pb = pScratchIn; /* Temporary pointers for scratch buffer */
q15_t *py = pState; /* Temporary pointers for state buffer */
int32_t *pTapDelay = S->pTapDelay; /* Pointer to the array containing offset of the non-zero tap values. */
uint32_t delaySize = S->maxDelay + blockSize; /* state length */
uint16_t numTaps = S->numTaps; /* Filter order */
int32_t readIndex; /* Read index of the state buffer */
uint32_t tapCnt, blkCnt; /* loop counters */
q15_t coeff = *pCoeffs++; /* Read the first coefficient value */
q31_t *pScr2 = pScratchOut; /* Working pointer for pScratchOut */
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q31_t in1, in2; /* Temporary variables */
/* BlockSize of Input samples are copied into the state buffer */
/* StateIndex points to the starting position to write in the state buffer */
arm_circularWrite_q15(py, delaySize, &S->stateIndex, 1, pIn, 1, blockSize);
/* Loop over the number of taps. */
tapCnt = numTaps;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q15(py, delaySize, &readIndex, 1,
pb, pb, blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 multiplications at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
/* Perform multiplication and store in the scratch buffer */
*pScratchOut++ = ((q31_t) * px++ * coeff);
*pScratchOut++ = ((q31_t) * px++ * coeff);
*pScratchOut++ = ((q31_t) * px++ * coeff);
*pScratchOut++ = ((q31_t) * px++ * coeff);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform multiplication and store in the scratch buffer */
*pScratchOut++ = ((q31_t) * px++ * coeff);
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Loop over the number of taps. */
tapCnt = (uint32_t) numTaps - 2U;
while (tapCnt > 0U)
{
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q15(py, delaySize, &readIndex, 1,
pb, pb, blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 MACS at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pScratchOut++ += (q31_t) * px++ * coeff;
*pScratchOut++ += (q31_t) * px++ * coeff;
*pScratchOut++ += (q31_t) * px++ * coeff;
*pScratchOut++ += (q31_t) * px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pScratchOut++ += (q31_t) * px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Decrement the tap loop counter */
tapCnt--;
}
/* Compute last tap without the final read of pTapDelay */
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q15(py, delaySize, &readIndex, 1,
pb, pb, blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 MACS at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pScratchOut++ += (q31_t) * px++ * coeff;
*pScratchOut++ += (q31_t) * px++ * coeff;
*pScratchOut++ += (q31_t) * px++ * coeff;
*pScratchOut++ += (q31_t) * px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pScratchOut++ += (q31_t) * px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* All the output values are in pScratchOut buffer.
Convert them into 1.15 format, saturate and store in the destination buffer. */
/* Loop over the blockSize. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
in1 = *pScr2++;
in2 = *pScr2++;
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ =
__PKHBT((q15_t) __SSAT(in1 >> 15, 16), (q15_t) __SSAT(in2 >> 15, 16),
16);
#else
*__SIMD32(pOut)++ =
__PKHBT((q15_t) __SSAT(in2 >> 15, 16), (q15_t) __SSAT(in1 >> 15, 16),
16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
in1 = *pScr2++;
in2 = *pScr2++;
#ifndef ARM_MATH_BIG_ENDIAN
*__SIMD32(pOut)++ =
__PKHBT((q15_t) __SSAT(in1 >> 15, 16), (q15_t) __SSAT(in2 >> 15, 16),
16);
#else
*__SIMD32(pOut)++ =
__PKHBT((q15_t) __SSAT(in2 >> 15, 16), (q15_t) __SSAT(in1 >> 15, 16),
16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
remaining samples are processed in the below loop */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
*pOut++ = (q15_t) __SSAT(*pScr2++ >> 15, 16);
blkCnt--;
}
#else
/* Run the below code for Cortex-M0 */
/* BlockSize of Input samples are copied into the state buffer */
/* StateIndex points to the starting position to write in the state buffer */
arm_circularWrite_q15(py, delaySize, &S->stateIndex, 1, pIn, 1, blockSize);
/* Loop over the number of taps. */
tapCnt = numTaps;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q15(py, delaySize, &readIndex, 1,
pb, pb, blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform multiplication and store in the scratch buffer */
*pScratchOut++ = ((q31_t) * px++ * coeff);
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Loop over the number of taps. */
tapCnt = (uint32_t) numTaps - 2U;
while (tapCnt > 0U)
{
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q15(py, delaySize, &readIndex, 1,
pb, pb, blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pScratchOut++ += (q31_t) * px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Decrement the tap loop counter */
tapCnt--;
}
/* Compute last tap without the final read of pTapDelay */
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q15(py, delaySize, &readIndex, 1,
pb, pb, blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
*pScratchOut++ += (q31_t) * px++ * coeff;
/* Decrement the loop counter */
blkCnt--;
}
/* All the output values are in pScratchOut buffer.
Convert them into 1.15 format, saturate and store in the destination buffer. */
/* Loop over the blockSize. */
blkCnt = blockSize;
while (blkCnt > 0U)
{
*pOut++ = (q15_t) __SSAT(*pScr2++ >> 15, 16);
blkCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR_Sparse group
*/

View File

@@ -1,450 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_sparse_q31.c
* Description: Q31 sparse FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @addtogroup FIR_Sparse
* @{
*/
/**
* @brief Processing function for the Q31 sparse FIR filter.
* @param[in] *S points to an instance of the Q31 sparse FIR structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] *pScratchIn points to a temporary buffer of size blockSize.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using an internal 32-bit accumulator.
* The 1.31 x 1.31 multiplications are truncated to 2.30 format.
* This leads to loss of precision on the intermediate multiplications and provides only a single guard bit.
* If the accumulator result overflows, it wraps around rather than saturate.
* In order to avoid overflows the input signal or coefficients must be scaled down by log2(numTaps) bits.
*/
void arm_fir_sparse_q31(
arm_fir_sparse_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
q31_t * pScratchIn,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *px; /* Scratch buffer pointer */
q31_t *py = pState; /* Temporary pointers for state buffer */
q31_t *pb = pScratchIn; /* Temporary pointers for scratch buffer */
q31_t *pOut; /* Destination pointer */
q63_t out; /* Temporary output variable */
int32_t *pTapDelay = S->pTapDelay; /* Pointer to the array containing offset of the non-zero tap values. */
uint32_t delaySize = S->maxDelay + blockSize; /* state length */
uint16_t numTaps = S->numTaps; /* Filter order */
int32_t readIndex; /* Read index of the state buffer */
uint32_t tapCnt, blkCnt; /* loop counters */
q31_t coeff = *pCoeffs++; /* Read the first coefficient value */
q31_t in;
/* BlockSize of Input samples are copied into the state buffer */
/* StateIndex points to the starting position to write in the state buffer */
arm_circularWrite_f32((int32_t *) py, delaySize, &S->stateIndex, 1,
(int32_t *) pSrc, 1, blockSize);
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pOut = pDst;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 Multiplications at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
/* Perform Multiplications and store in the destination buffer */
*pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32);
*pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32);
*pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32);
*pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiplications and store in the destination buffer */
*pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32);
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Loop over the number of taps. */
tapCnt = (uint32_t) numTaps - 2U;
while (tapCnt > 0U)
{
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pOut = pDst;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 MACS at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Decrement the tap loop counter */
tapCnt--;
}
/* Compute last tap without the final read of pTapDelay */
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pOut = pDst;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 MACS at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
/* Decrement the loop counter */
blkCnt--;
}
/* Working output pointer is updated */
pOut = pDst;
/* Output is converted into 1.31 format. */
/* Loop over the blockSize. Unroll by a factor of 4.
* process 4 output samples at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
in = *pOut << 1;
*pOut++ = in;
in = *pOut << 1;
*pOut++ = in;
in = *pOut << 1;
*pOut++ = in;
in = *pOut << 1;
*pOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* process the remaining output samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
in = *pOut << 1;
*pOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
#else
/* Run the below code for Cortex-M0 */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiplications and store in the destination buffer */
*pOut++ = (q31_t) (((q63_t) * px++ * coeff) >> 32);
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Loop over the number of taps. */
tapCnt = (uint32_t) numTaps - 2U;
while (tapCnt > 0U)
{
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pOut = pDst;
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = (int32_t) (S->stateIndex - blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Decrement the tap loop counter */
tapCnt--;
}
/* Compute last tap without the final read of pTapDelay */
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_f32((int32_t *) py, delaySize, &readIndex, 1,
(int32_t *) pb, (int32_t *) pb, blockSize, 1,
blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pOut = pDst;
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
out = *pOut;
out += ((q63_t) * px++ * coeff) >> 32;
*pOut++ = (q31_t) (out);
/* Decrement the loop counter */
blkCnt--;
}
/* Working output pointer is updated */
pOut = pDst;
/* Output is converted into 1.31 format. */
blkCnt = blockSize;
while (blkCnt > 0U)
{
in = *pOut << 1;
*pOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR_Sparse group
*/

View File

@@ -1,469 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_fir_sparse_q7.c
* Description: Q7 sparse FIR filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup FIR_Sparse
* @{
*/
/**
* @brief Processing function for the Q7 sparse FIR filter.
* @param[in] *S points to an instance of the Q7 sparse FIR structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data
* @param[in] *pScratchIn points to a temporary buffer of size blockSize.
* @param[in] *pScratchOut points to a temporary buffer of size blockSize.
* @param[in] blockSize number of input samples to process per call.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using a 32-bit internal accumulator.
* Both coefficients and state variables are represented in 1.7 format and multiplications yield a 2.14 result.
* The 2.14 intermediate results are accumulated in a 32-bit accumulator in 18.14 format.
* There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved.
* The accumulator is then converted to 18.7 format by discarding the low 7 bits.
* Finally, the result is truncated to 1.7 format.
*/
void arm_fir_sparse_q7(
arm_fir_sparse_instance_q7 * S,
q7_t * pSrc,
q7_t * pDst,
q7_t * pScratchIn,
q31_t * pScratchOut,
uint32_t blockSize)
{
q7_t *pState = S->pState; /* State pointer */
q7_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q7_t *px; /* Scratch buffer pointer */
q7_t *py = pState; /* Temporary pointers for state buffer */
q7_t *pb = pScratchIn; /* Temporary pointers for scratch buffer */
q7_t *pOut = pDst; /* Destination pointer */
int32_t *pTapDelay = S->pTapDelay; /* Pointer to the array containing offset of the non-zero tap values. */
uint32_t delaySize = S->maxDelay + blockSize; /* state length */
uint16_t numTaps = S->numTaps; /* Filter order */
int32_t readIndex; /* Read index of the state buffer */
uint32_t tapCnt, blkCnt; /* loop counters */
q7_t coeff = *pCoeffs++; /* Read the coefficient value */
q31_t *pScr2 = pScratchOut; /* Working pointer for scratch buffer of output values */
q31_t in;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q7_t in1, in2, in3, in4;
/* BlockSize of Input samples are copied into the state buffer */
/* StateIndex points to the starting position to write in the state buffer */
arm_circularWrite_q7(py, (int32_t) delaySize, &S->stateIndex, 1, pSrc, 1,
blockSize);
/* Loop over the number of taps. */
tapCnt = numTaps;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb,
(int32_t) blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 multiplications at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
/* Perform multiplication and store in the scratch buffer */
*pScratchOut++ = ((q31_t) * px++ * coeff);
*pScratchOut++ = ((q31_t) * px++ * coeff);
*pScratchOut++ = ((q31_t) * px++ * coeff);
*pScratchOut++ = ((q31_t) * px++ * coeff);
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform multiplication and store in the scratch buffer */
*pScratchOut++ = ((q31_t) * px++ * coeff);
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Loop over the number of taps. */
tapCnt = (uint32_t) numTaps - 2U;
while (tapCnt > 0U)
{
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb,
(int32_t) blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 MACS at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex -
(int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Decrement the tap loop counter */
tapCnt--;
}
/* Compute last tap without the final read of pTapDelay */
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb,
(int32_t) blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize. Unroll by a factor of 4.
* Compute 4 MACS at a time. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
* compute the remaining samples */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
/* All the output values are in pScratchOut buffer.
Convert them into 1.15 format, saturate and store in the destination buffer. */
/* Loop over the blockSize. */
blkCnt = blockSize >> 2;
while (blkCnt > 0U)
{
in1 = (q7_t) __SSAT(*pScr2++ >> 7, 8);
in2 = (q7_t) __SSAT(*pScr2++ >> 7, 8);
in3 = (q7_t) __SSAT(*pScr2++ >> 7, 8);
in4 = (q7_t) __SSAT(*pScr2++ >> 7, 8);
*__SIMD32(pOut)++ = __PACKq7(in1, in2, in3, in4);
/* Decrement the blockSize loop counter */
blkCnt--;
}
/* If the blockSize is not a multiple of 4,
remaining samples are processed in the below loop */
blkCnt = blockSize % 0x4U;
while (blkCnt > 0U)
{
*pOut++ = (q7_t) __SSAT(*pScr2++ >> 7, 8);
/* Decrement the blockSize loop counter */
blkCnt--;
}
#else
/* Run the below code for Cortex-M0 */
/* BlockSize of Input samples are copied into the state buffer */
/* StateIndex points to the starting position to write in the state buffer */
arm_circularWrite_q7(py, (int32_t) delaySize, &S->stateIndex, 1, pSrc, 1,
blockSize);
/* Loop over the number of taps. */
tapCnt = numTaps;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb,
(int32_t) blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform multiplication and store in the scratch buffer */
*pScratchOut++ = ((q31_t) * px++ * coeff);
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex = ((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Loop over the number of taps. */
tapCnt = (uint32_t) numTaps - 2U;
while (tapCnt > 0U)
{
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb,
(int32_t) blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
/* Load the coefficient value and
* increment the coefficient buffer for the next set of state values */
coeff = *pCoeffs++;
/* Read Index, from where the state buffer should be read, is calculated. */
readIndex =
((int32_t) S->stateIndex - (int32_t) blockSize) - *pTapDelay++;
/* Wraparound of readIndex */
if (readIndex < 0)
{
readIndex += (int32_t) delaySize;
}
/* Decrement the tap loop counter */
tapCnt--;
}
/* Compute last tap without the final read of pTapDelay */
/* Working pointer for state buffer is updated */
py = pState;
/* blockSize samples are read from the state buffer */
arm_circularRead_q7(py, (int32_t) delaySize, &readIndex, 1, pb, pb,
(int32_t) blockSize, 1, blockSize);
/* Working pointer for the scratch buffer of state values */
px = pb;
/* Working pointer for scratch buffer of output values */
pScratchOut = pScr2;
/* Loop over the blockSize */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Perform Multiply-Accumulate */
in = *pScratchOut + ((q31_t) * px++ * coeff);
*pScratchOut++ = in;
/* Decrement the loop counter */
blkCnt--;
}
/* All the output values are in pScratchOut buffer.
Convert them into 1.15 format, saturate and store in the destination buffer. */
/* Loop over the blockSize. */
blkCnt = blockSize;
while (blkCnt > 0U)
{
*pOut++ = (q7_t) __SSAT(*pScr2++ >> 7, 8);
/* Decrement the blockSize loop counter */
blkCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of FIR_Sparse group
*/

View File

@@ -1,435 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_iir_lattice_f32.c
* Description: Floating-point IIR Lattice filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup IIR_Lattice Infinite Impulse Response (IIR) Lattice Filters
*
* This set of functions implements lattice filters
* for Q15, Q31 and floating-point data types. Lattice filters are used in a
* variety of adaptive filter applications. The filter structure has feedforward and
* feedback components and the net impulse response is infinite length.
* The functions operate on blocks
* of input and output data and each call to the function processes
* <code>blockSize</code> samples through the filter. <code>pSrc</code> and
* <code>pDst</code> point to input and output arrays containing <code>blockSize</code> values.
* \par Algorithm:
* \image html IIRLattice.gif "Infinite Impulse Response Lattice filter"
* <pre>
* fN(n) = x(n)
* fm-1(n) = fm(n) - km * gm-1(n-1) for m = N, N-1, ...1
* gm(n) = km * fm-1(n) + gm-1(n-1) for m = N, N-1, ...1
* y(n) = vN * gN(n) + vN-1 * gN-1(n) + ...+ v0 * g0(n)
* </pre>
* \par
* <code>pkCoeffs</code> points to array of reflection coefficients of size <code>numStages</code>.
* Reflection coefficients are stored in time-reversed order.
* \par
* <pre>
* {kN, kN-1, ....k1}
* </pre>
* <code>pvCoeffs</code> points to the array of ladder coefficients of size <code>(numStages+1)</code>.
* Ladder coefficients are stored in time-reversed order.
* \par
* <pre>
* {vN, vN-1, ...v0}
* </pre>
* <code>pState</code> points to a state array of size <code>numStages + blockSize</code>.
* The state variables shown in the figure above (the g values) are stored in the <code>pState</code> array.
* The state variables are updated after each block of data is processed; the coefficients are untouched.
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter.
* Coefficient arrays may be shared among several instances while state variable arrays cannot be shared.
* There are separate instance structure declarations for each of the 3 supported data types.
*
* \par Initialization Functions
* There is also an associated initialization function for each data type.
* The initialization function performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numStages, pkCoeffs, pvCoeffs, pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros and then manually initialize the instance structure as follows:
* <pre>
*arm_iir_lattice_instance_f32 S = {numStages, pState, pkCoeffs, pvCoeffs};
*arm_iir_lattice_instance_q31 S = {numStages, pState, pkCoeffs, pvCoeffs};
*arm_iir_lattice_instance_q15 S = {numStages, pState, pkCoeffs, pvCoeffs};
* </pre>
* \par
* where <code>numStages</code> is the number of stages in the filter; <code>pState</code> points to the state buffer array;
* <code>pkCoeffs</code> points to array of the reflection coefficients; <code>pvCoeffs</code> points to the array of ladder coefficients.
* \par Fixed-Point Behavior
* Care must be taken when using the fixed-point versions of the IIR lattice filter functions.
* In particular, the overflow and saturation behavior of the accumulator used in each function must be considered.
* Refer to the function specific documentation below for usage guidelines.
*/
/**
* @addtogroup IIR_Lattice
* @{
*/
/**
* @brief Processing function for the floating-point IIR lattice filter.
* @param[in] *S points to an instance of the floating-point IIR lattice structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process.
* @return none.
*/
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
void arm_iir_lattice_f32(
const arm_iir_lattice_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t fnext1, gcurr1, gnext; /* Temporary variables for lattice stages */
float32_t acc; /* Accumlator */
uint32_t blkCnt, tapCnt; /* temporary variables for counts */
float32_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */
uint32_t numStages = S->numStages; /* number of stages */
float32_t *pState; /* State pointer */
float32_t *pStateCurnt; /* State current pointer */
float32_t k1, k2;
float32_t v1, v2, v3, v4;
float32_t gcurr2;
float32_t fnext2;
/* initialise loop count */
blkCnt = blockSize;
/* initialise state pointer */
pState = &S->pState[0];
/* Sample processing */
while (blkCnt > 0U)
{
/* Read Sample from input buffer */
/* fN(n) = x(n) */
fnext2 = *pSrc++;
/* Initialize Ladder coeff pointer */
pv = &S->pvCoeffs[0];
/* Initialize Reflection coeff pointer */
pk = &S->pkCoeffs[0];
/* Initialize state read pointer */
px1 = pState;
/* Initialize state write pointer */
px2 = pState;
/* Set accumulator to zero */
acc = 0.0;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = (numStages) >> 2;
while (tapCnt > 0U)
{
/* Read gN-1(n-1) from state buffer */
gcurr1 = *px1;
/* read reflection coefficient kN */
k1 = *pk;
/* fN-1(n) = fN(n) - kN * gN-1(n-1) */
fnext1 = fnext2 - (k1 * gcurr1);
/* read ladder coefficient vN */
v1 = *pv;
/* read next reflection coefficient kN-1 */
k2 = *(pk + 1U);
/* Read gN-2(n-1) from state buffer */
gcurr2 = *(px1 + 1U);
/* read next ladder coefficient vN-1 */
v2 = *(pv + 1U);
/* fN-2(n) = fN-1(n) - kN-1 * gN-2(n-1) */
fnext2 = fnext1 - (k2 * gcurr2);
/* gN(n) = kN * fN-1(n) + gN-1(n-1) */
gnext = gcurr1 + (k1 * fnext1);
/* read reflection coefficient kN-2 */
k1 = *(pk + 2U);
/* write gN(n) into state for next sample processing */
*px2++ = gnext;
/* Read gN-3(n-1) from state buffer */
gcurr1 = *(px1 + 2U);
/* y(n) += gN(n) * vN */
acc += (gnext * v1);
/* fN-3(n) = fN-2(n) - kN-2 * gN-3(n-1) */
fnext1 = fnext2 - (k1 * gcurr1);
/* gN-1(n) = kN-1 * fN-2(n) + gN-2(n-1) */
gnext = gcurr2 + (k2 * fnext2);
/* Read gN-4(n-1) from state buffer */
gcurr2 = *(px1 + 3U);
/* y(n) += gN-1(n) * vN-1 */
acc += (gnext * v2);
/* read reflection coefficient kN-3 */
k2 = *(pk + 3U);
/* write gN-1(n) into state for next sample processing */
*px2++ = gnext;
/* fN-4(n) = fN-3(n) - kN-3 * gN-4(n-1) */
fnext2 = fnext1 - (k2 * gcurr2);
/* gN-2(n) = kN-2 * fN-3(n) + gN-3(n-1) */
gnext = gcurr1 + (k1 * fnext1);
/* read ladder coefficient vN-2 */
v3 = *(pv + 2U);
/* y(n) += gN-2(n) * vN-2 */
acc += (gnext * v3);
/* write gN-2(n) into state for next sample processing */
*px2++ = gnext;
/* update pointer */
pk += 4U;
/* gN-3(n) = kN-3 * fN-4(n) + gN-4(n-1) */
gnext = (fnext2 * k2) + gcurr2;
/* read next ladder coefficient vN-3 */
v4 = *(pv + 3U);
/* y(n) += gN-4(n) * vN-4 */
acc += (gnext * v4);
/* write gN-3(n) into state for next sample processing */
*px2++ = gnext;
/* update pointers */
px1 += 4U;
pv += 4U;
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = (numStages) % 0x4U;
while (tapCnt > 0U)
{
gcurr1 = *px1++;
/* Process sample for last taps */
fnext1 = fnext2 - ((*pk) * gcurr1);
gnext = (fnext1 * (*pk++)) + gcurr1;
/* Output samples for last taps */
acc += (gnext * (*pv++));
*px2++ = gnext;
fnext2 = fnext1;
tapCnt--;
}
/* y(n) += g0(n) * v0 */
acc += (fnext2 * (*pv));
*px2++ = fnext2;
/* write out into pDst */
*pDst++ = acc;
/* Advance the state pointer by 4 to process the next group of 4 samples */
pState = pState + 1U;
blkCnt--;
}
/* Processing is complete. Now copy last S->numStages samples to start of the buffer
for the preperation of next frame process */
/* Points to the start of the state buffer */
pStateCurnt = &S->pState[0];
pState = &S->pState[blockSize];
tapCnt = numStages >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numStages) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#else
void arm_iir_lattice_f32(
const arm_iir_lattice_instance_f32 * S,
float32_t * pSrc,
float32_t * pDst,
uint32_t blockSize)
{
float32_t fcurr, fnext = 0, gcurr, gnext; /* Temporary variables for lattice stages */
float32_t acc; /* Accumlator */
uint32_t blkCnt, tapCnt; /* temporary variables for counts */
float32_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */
uint32_t numStages = S->numStages; /* number of stages */
float32_t *pState; /* State pointer */
float32_t *pStateCurnt; /* State current pointer */
/* Run the below code for Cortex-M0 */
blkCnt = blockSize;
pState = &S->pState[0];
/* Sample processing */
while (blkCnt > 0U)
{
/* Read Sample from input buffer */
/* fN(n) = x(n) */
fcurr = *pSrc++;
/* Initialize state read pointer */
px1 = pState;
/* Initialize state write pointer */
px2 = pState;
/* Set accumulator to zero */
acc = 0.0f;
/* Initialize Ladder coeff pointer */
pv = &S->pvCoeffs[0];
/* Initialize Reflection coeff pointer */
pk = &S->pkCoeffs[0];
/* Process sample for numStages */
tapCnt = numStages;
while (tapCnt > 0U)
{
gcurr = *px1++;
/* Process sample for last taps */
fnext = fcurr - ((*pk) * gcurr);
gnext = (fnext * (*pk++)) + gcurr;
/* Output samples for last taps */
acc += (gnext * (*pv++));
*px2++ = gnext;
fcurr = fnext;
/* Decrementing loop counter */
tapCnt--;
}
/* y(n) += g0(n) * v0 */
acc += (fnext * (*pv));
*px2++ = fnext;
/* write out into pDst */
*pDst++ = acc;
/* Advance the state pointer by 1 to process the next group of samples */
pState = pState + 1U;
blkCnt--;
}
/* Processing is complete. Now copy last S->numStages samples to start of the buffer
for the preperation of next frame process */
/* Points to the start of the state buffer */
pStateCurnt = &S->pState[0];
pState = &S->pState[blockSize];
tapCnt = numStages;
/* Copy the data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
}
#endif /* #if defined (ARM_MATH_DSP) */
/**
* @} end of IIR_Lattice group
*/

View File

@@ -1,79 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_iir_lattice_init_f32.c
* Description: Floating-point IIR lattice filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup IIR_Lattice
* @{
*/
/**
* @brief Initialization function for the floating-point IIR lattice filter.
* @param[in] *S points to an instance of the floating-point IIR lattice structure.
* @param[in] numStages number of stages in the filter.
* @param[in] *pkCoeffs points to the reflection coefficient buffer. The array is of length numStages.
* @param[in] *pvCoeffs points to the ladder coefficient buffer. The array is of length numStages+1.
* @param[in] *pState points to the state buffer. The array is of length numStages+blockSize.
* @param[in] blockSize number of samples to process.
* @return none.
*/
void arm_iir_lattice_init_f32(
arm_iir_lattice_instance_f32 * S,
uint16_t numStages,
float32_t * pkCoeffs,
float32_t * pvCoeffs,
float32_t * pState,
uint32_t blockSize)
{
/* Assign filter taps */
S->numStages = numStages;
/* Assign reflection coefficient pointer */
S->pkCoeffs = pkCoeffs;
/* Assign ladder coefficient pointer */
S->pvCoeffs = pvCoeffs;
/* Clear state buffer and size is always blockSize + numStages */
memset(pState, 0, (numStages + blockSize) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of IIR_Lattice group
*/

View File

@@ -1,79 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_iir_lattice_init_q15.c
* Description: Q15 IIR lattice filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup IIR_Lattice
* @{
*/
/**
* @brief Initialization function for the Q15 IIR lattice filter.
* @param[in] *S points to an instance of the Q15 IIR lattice structure.
* @param[in] numStages number of stages in the filter.
* @param[in] *pkCoeffs points to reflection coefficient buffer. The array is of length numStages.
* @param[in] *pvCoeffs points to ladder coefficient buffer. The array is of length numStages+1.
* @param[in] *pState points to state buffer. The array is of length numStages+blockSize.
* @param[in] blockSize number of samples to process per call.
* @return none.
*/
void arm_iir_lattice_init_q15(
arm_iir_lattice_instance_q15 * S,
uint16_t numStages,
q15_t * pkCoeffs,
q15_t * pvCoeffs,
q15_t * pState,
uint32_t blockSize)
{
/* Assign filter taps */
S->numStages = numStages;
/* Assign reflection coefficient pointer */
S->pkCoeffs = pkCoeffs;
/* Assign ladder coefficient pointer */
S->pvCoeffs = pvCoeffs;
/* Clear state buffer and size is always blockSize + numStages */
memset(pState, 0, (numStages + blockSize) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of IIR_Lattice group
*/

View File

@@ -1,79 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_iir_lattice_init_q31.c
* Description: Initialization function for the Q31 IIR lattice filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup IIR_Lattice
* @{
*/
/**
* @brief Initialization function for the Q31 IIR lattice filter.
* @param[in] *S points to an instance of the Q31 IIR lattice structure.
* @param[in] numStages number of stages in the filter.
* @param[in] *pkCoeffs points to the reflection coefficient buffer. The array is of length numStages.
* @param[in] *pvCoeffs points to the ladder coefficient buffer. The array is of length numStages+1.
* @param[in] *pState points to the state buffer. The array is of length numStages+blockSize.
* @param[in] blockSize number of samples to process.
* @return none.
*/
void arm_iir_lattice_init_q31(
arm_iir_lattice_instance_q31 * S,
uint16_t numStages,
q31_t * pkCoeffs,
q31_t * pvCoeffs,
q31_t * pState,
uint32_t blockSize)
{
/* Assign filter taps */
S->numStages = numStages;
/* Assign reflection coefficient pointer */
S->pkCoeffs = pkCoeffs;
/* Assign ladder coefficient pointer */
S->pvCoeffs = pvCoeffs;
/* Clear state buffer and size is always blockSize + numStages */
memset(pState, 0, (numStages + blockSize) * sizeof(q31_t));
/* Assign state pointer */
S->pState = pState;
}
/**
* @} end of IIR_Lattice group
*/

View File

@@ -1,452 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_iir_lattice_q15.c
* Description: Q15 IIR lattice filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup IIR_Lattice
* @{
*/
/**
* @brief Processing function for the Q15 IIR lattice filter.
* @param[in] *S points to an instance of the Q15 IIR lattice structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved.
* After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits.
* Lastly, the accumulator is saturated to yield a result in 1.15 format.
*/
void arm_iir_lattice_q15(
const arm_iir_lattice_instance_q15 * S,
q15_t * pSrc,
q15_t * pDst,
uint32_t blockSize)
{
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
q31_t fcurr, fnext, gcurr = 0, gnext; /* Temporary variables for lattice stages */
q15_t gnext1, gnext2; /* Temporary variables for lattice stages */
uint32_t stgCnt; /* Temporary variables for counts */
q63_t acc; /* Accumlator */
uint32_t blkCnt, tapCnt; /* Temporary variables for counts */
q15_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */
uint32_t numStages = S->numStages; /* number of stages */
q15_t *pState; /* State pointer */
q15_t *pStateCurnt; /* State current pointer */
q15_t out; /* Temporary variable for output */
q31_t v; /* Temporary variable for ladder coefficient */
#ifdef UNALIGNED_SUPPORT_DISABLE
q15_t v1, v2;
#endif
blkCnt = blockSize;
pState = &S->pState[0];
/* Sample processing */
while (blkCnt > 0U)
{
/* Read Sample from input buffer */
/* fN(n) = x(n) */
fcurr = *pSrc++;
/* Initialize state read pointer */
px1 = pState;
/* Initialize state write pointer */
px2 = pState;
/* Set accumulator to zero */
acc = 0;
/* Initialize Ladder coeff pointer */
pv = &S->pvCoeffs[0];
/* Initialize Reflection coeff pointer */
pk = &S->pkCoeffs[0];
/* Process sample for first tap */
gcurr = *px1++;
/* fN-1(n) = fN(n) - kN * gN-1(n-1) */
fnext = fcurr - (((q31_t) gcurr * (*pk)) >> 15);
fnext = __SSAT(fnext, 16);
/* gN(n) = kN * fN-1(n) + gN-1(n-1) */
gnext = (((q31_t) fnext * (*pk++)) >> 15) + gcurr;
gnext = __SSAT(gnext, 16);
/* write gN(n) into state for next sample processing */
*px2++ = (q15_t) gnext;
/* y(n) += gN(n) * vN */
acc += (q31_t) ((gnext * (*pv++)));
/* Update f values for next coefficient processing */
fcurr = fnext;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = (numStages - 1U) >> 2;
while (tapCnt > 0U)
{
/* Process sample for 2nd, 6th ...taps */
/* Read gN-2(n-1) from state buffer */
gcurr = *px1++;
/* Process sample for 2nd, 6th .. taps */
/* fN-2(n) = fN-1(n) - kN-1 * gN-2(n-1) */
fnext = fcurr - (((q31_t) gcurr * (*pk)) >> 15);
fnext = __SSAT(fnext, 16);
/* gN-1(n) = kN-1 * fN-2(n) + gN-2(n-1) */
gnext = (((q31_t) fnext * (*pk++)) >> 15) + gcurr;
gnext1 = (q15_t) __SSAT(gnext, 16);
/* write gN-1(n) into state */
*px2++ = (q15_t) gnext1;
/* Process sample for 3nd, 7th ...taps */
/* Read gN-3(n-1) from state */
gcurr = *px1++;
/* Process sample for 3rd, 7th .. taps */
/* fN-3(n) = fN-2(n) - kN-2 * gN-3(n-1) */
fcurr = fnext - (((q31_t) gcurr * (*pk)) >> 15);
fcurr = __SSAT(fcurr, 16);
/* gN-2(n) = kN-2 * fN-3(n) + gN-3(n-1) */
gnext = (((q31_t) fcurr * (*pk++)) >> 15) + gcurr;
gnext2 = (q15_t) __SSAT(gnext, 16);
/* write gN-2(n) into state */
*px2++ = (q15_t) gnext2;
/* Read vN-1 and vN-2 at a time */
#ifndef UNALIGNED_SUPPORT_DISABLE
v = *__SIMD32(pv)++;
#else
v1 = *pv++;
v2 = *pv++;
#ifndef ARM_MATH_BIG_ENDIAN
v = __PKHBT(v1, v2, 16);
#else
v = __PKHBT(v2, v1, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Pack gN-1(n) and gN-2(n) */
#ifndef ARM_MATH_BIG_ENDIAN
gnext = __PKHBT(gnext1, gnext2, 16);
#else
gnext = __PKHBT(gnext2, gnext1, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* y(n) += gN-1(n) * vN-1 */
/* process for gN-5(n) * vN-5, gN-9(n) * vN-9 ... */
/* y(n) += gN-2(n) * vN-2 */
/* process for gN-6(n) * vN-6, gN-10(n) * vN-10 ... */
acc = __SMLALD(gnext, v, acc);
/* Process sample for 4th, 8th ...taps */
/* Read gN-4(n-1) from state */
gcurr = *px1++;
/* Process sample for 4th, 8th .. taps */
/* fN-4(n) = fN-3(n) - kN-3 * gN-4(n-1) */
fnext = fcurr - (((q31_t) gcurr * (*pk)) >> 15);
fnext = __SSAT(fnext, 16);
/* gN-3(n) = kN-3 * fN-1(n) + gN-1(n-1) */
gnext = (((q31_t) fnext * (*pk++)) >> 15) + gcurr;
gnext1 = (q15_t) __SSAT(gnext, 16);
/* write gN-3(n) for the next sample process */
*px2++ = (q15_t) gnext1;
/* Process sample for 5th, 9th ...taps */
/* Read gN-5(n-1) from state */
gcurr = *px1++;
/* Process sample for 5th, 9th .. taps */
/* fN-5(n) = fN-4(n) - kN-4 * gN-5(n-1) */
fcurr = fnext - (((q31_t) gcurr * (*pk)) >> 15);
fcurr = __SSAT(fcurr, 16);
/* gN-4(n) = kN-4 * fN-5(n) + gN-5(n-1) */
gnext = (((q31_t) fcurr * (*pk++)) >> 15) + gcurr;
gnext2 = (q15_t) __SSAT(gnext, 16);
/* write gN-4(n) for the next sample process */
*px2++ = (q15_t) gnext2;
/* Read vN-3 and vN-4 at a time */
#ifndef UNALIGNED_SUPPORT_DISABLE
v = *__SIMD32(pv)++;
#else
v1 = *pv++;
v2 = *pv++;
#ifndef ARM_MATH_BIG_ENDIAN
v = __PKHBT(v1, v2, 16);
#else
v = __PKHBT(v2, v1, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Pack gN-3(n) and gN-4(n) */
#ifndef ARM_MATH_BIG_ENDIAN
gnext = __PKHBT(gnext1, gnext2, 16);
#else
gnext = __PKHBT(gnext2, gnext1, 16);
#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
/* y(n) += gN-4(n) * vN-4 */
/* process for gN-8(n) * vN-8, gN-12(n) * vN-12 ... */
/* y(n) += gN-3(n) * vN-3 */
/* process for gN-7(n) * vN-7, gN-11(n) * vN-11 ... */
acc = __SMLALD(gnext, v, acc);
tapCnt--;
}
fnext = fcurr;
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = (numStages - 1U) % 0x4U;
while (tapCnt > 0U)
{
gcurr = *px1++;
/* Process sample for last taps */
fnext = fcurr - (((q31_t) gcurr * (*pk)) >> 15);
fnext = __SSAT(fnext, 16);
gnext = (((q31_t) fnext * (*pk++)) >> 15) + gcurr;
gnext = __SSAT(gnext, 16);
/* Output samples for last taps */
acc += (q31_t) (((q31_t) gnext * (*pv++)));
*px2++ = (q15_t) gnext;
fcurr = fnext;
tapCnt--;
}
/* y(n) += g0(n) * v0 */
acc += (q31_t) (((q31_t) fnext * (*pv++)));
out = (q15_t) __SSAT(acc >> 15, 16);
*px2++ = (q15_t) fnext;
/* write out into pDst */
*pDst++ = out;
/* Advance the state pointer by 4 to process the next group of 4 samples */
pState = pState + 1U;
blkCnt--;
}
/* Processing is complete. Now copy last S->numStages samples to start of the buffer
for the preperation of next frame process */
/* Points to the start of the state buffer */
pStateCurnt = &S->pState[0];
pState = &S->pState[blockSize];
stgCnt = (numStages >> 2U);
/* copy data */
while (stgCnt > 0U)
{
#ifndef UNALIGNED_SUPPORT_DISABLE
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
#else
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Decrement the loop counter */
stgCnt--;
}
/* Calculation of count for remaining q15_t data */
stgCnt = (numStages) % 0x4U;
/* copy data */
while (stgCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
stgCnt--;
}
#else
/* Run the below code for Cortex-M0 */
q31_t fcurr, fnext = 0, gcurr = 0, gnext; /* Temporary variables for lattice stages */
uint32_t stgCnt; /* Temporary variables for counts */
q63_t acc; /* Accumlator */
uint32_t blkCnt, tapCnt; /* Temporary variables for counts */
q15_t *px1, *px2, *pk, *pv; /* temporary pointers for state and coef */
uint32_t numStages = S->numStages; /* number of stages */
q15_t *pState; /* State pointer */
q15_t *pStateCurnt; /* State current pointer */
q15_t out; /* Temporary variable for output */
blkCnt = blockSize;
pState = &S->pState[0];
/* Sample processing */
while (blkCnt > 0U)
{
/* Read Sample from input buffer */
/* fN(n) = x(n) */
fcurr = *pSrc++;
/* Initialize state read pointer */
px1 = pState;
/* Initialize state write pointer */
px2 = pState;
/* Set accumulator to zero */
acc = 0;
/* Initialize Ladder coeff pointer */
pv = &S->pvCoeffs[0];
/* Initialize Reflection coeff pointer */
pk = &S->pkCoeffs[0];
tapCnt = numStages;
while (tapCnt > 0U)
{
gcurr = *px1++;
/* Process sample */
/* fN-1(n) = fN(n) - kN * gN-1(n-1) */
fnext = fcurr - ((gcurr * (*pk)) >> 15);
fnext = __SSAT(fnext, 16);
/* gN(n) = kN * fN-1(n) + gN-1(n-1) */
gnext = ((fnext * (*pk++)) >> 15) + gcurr;
gnext = __SSAT(gnext, 16);
/* Output samples */
/* y(n) += gN(n) * vN */
acc += (q31_t) ((gnext * (*pv++)));
/* write gN(n) into state for next sample processing */
*px2++ = (q15_t) gnext;
/* Update f values for next coefficient processing */
fcurr = fnext;
tapCnt--;
}
/* y(n) += g0(n) * v0 */
acc += (q31_t) ((fnext * (*pv++)));
out = (q15_t) __SSAT(acc >> 15, 16);
*px2++ = (q15_t) fnext;
/* write out into pDst */
*pDst++ = out;
/* Advance the state pointer by 1 to process the next group of samples */
pState = pState + 1U;
blkCnt--;
}
/* Processing is complete. Now copy last S->numStages samples to start of the buffer
for the preperation of next frame process */
/* Points to the start of the state buffer */
pStateCurnt = &S->pState[0];
pState = &S->pState[blockSize];
stgCnt = numStages;
/* copy data */
while (stgCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
stgCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of IIR_Lattice group
*/

View File

@@ -1,338 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_iir_lattice_q31.c
* Description: Q31 IIR lattice filter processing function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup IIR_Lattice
* @{
*/
/**
* @brief Processing function for the Q31 IIR lattice filter.
* @param[in] *S points to an instance of the Q31 IIR lattice structure.
* @param[in] *pSrc points to the block of input data.
* @param[out] *pDst points to the block of output data.
* @param[in] blockSize number of samples to process.
* @return none.
*
* @details
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around rather than clip.
* In order to avoid overflows completely the input signal must be scaled down by 2*log2(numStages) bits.
* After all multiply-accumulates are performed, the 2.62 accumulator is saturated to 1.32 format and then truncated to 1.31 format.
*/
void arm_iir_lattice_q31(
const arm_iir_lattice_instance_q31 * S,
q31_t * pSrc,
q31_t * pDst,
uint32_t blockSize)
{
q31_t fcurr, fnext = 0, gcurr = 0, gnext; /* Temporary variables for lattice stages */
q63_t acc; /* Accumlator */
uint32_t blkCnt, tapCnt; /* Temporary variables for counts */
q31_t *px1, *px2, *pk, *pv; /* Temporary pointers for state and coef */
uint32_t numStages = S->numStages; /* number of stages */
q31_t *pState; /* State pointer */
q31_t *pStateCurnt; /* State current pointer */
blkCnt = blockSize;
pState = &S->pState[0];
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
/* Sample processing */
while (blkCnt > 0U)
{
/* Read Sample from input buffer */
/* fN(n) = x(n) */
fcurr = *pSrc++;
/* Initialize state read pointer */
px1 = pState;
/* Initialize state write pointer */
px2 = pState;
/* Set accumulator to zero */
acc = 0;
/* Initialize Ladder coeff pointer */
pv = &S->pvCoeffs[0];
/* Initialize Reflection coeff pointer */
pk = &S->pkCoeffs[0];
/* Process sample for first tap */
gcurr = *px1++;
/* fN-1(n) = fN(n) - kN * gN-1(n-1) */
fnext = __QSUB(fcurr, (q31_t) (((q63_t) gcurr * (*pk)) >> 31));
/* gN(n) = kN * fN-1(n) + gN-1(n-1) */
gnext = __QADD(gcurr, (q31_t) (((q63_t) fnext * (*pk++)) >> 31));
/* write gN-1(n-1) into state for next sample processing */
*px2++ = gnext;
/* y(n) += gN(n) * vN */
acc += ((q63_t) gnext * *pv++);
/* Update f values for next coefficient processing */
fcurr = fnext;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = (numStages - 1U) >> 2;
while (tapCnt > 0U)
{
/* Process sample for 2nd, 6th .. taps */
/* Read gN-2(n-1) from state buffer */
gcurr = *px1++;
/* fN-2(n) = fN-1(n) - kN-1 * gN-2(n-1) */
fnext = __QSUB(fcurr, (q31_t) (((q63_t) gcurr * (*pk)) >> 31));
/* gN-1(n) = kN-1 * fN-2(n) + gN-2(n-1) */
gnext = __QADD(gcurr, (q31_t) (((q63_t) fnext * (*pk++)) >> 31));
/* y(n) += gN-1(n) * vN-1 */
/* process for gN-5(n) * vN-5, gN-9(n) * vN-9 ... */
acc += ((q63_t) gnext * *pv++);
/* write gN-1(n) into state for next sample processing */
*px2++ = gnext;
/* Process sample for 3nd, 7th ...taps */
/* Read gN-3(n-1) from state buffer */
gcurr = *px1++;
/* Process sample for 3rd, 7th .. taps */
/* fN-3(n) = fN-2(n) - kN-2 * gN-3(n-1) */
fcurr = __QSUB(fnext, (q31_t) (((q63_t) gcurr * (*pk)) >> 31));
/* gN-2(n) = kN-2 * fN-3(n) + gN-3(n-1) */
gnext = __QADD(gcurr, (q31_t) (((q63_t) fcurr * (*pk++)) >> 31));
/* y(n) += gN-2(n) * vN-2 */
/* process for gN-6(n) * vN-6, gN-10(n) * vN-10 ... */
acc += ((q63_t) gnext * *pv++);
/* write gN-2(n) into state for next sample processing */
*px2++ = gnext;
/* Process sample for 4th, 8th ...taps */
/* Read gN-4(n-1) from state buffer */
gcurr = *px1++;
/* Process sample for 4th, 8th .. taps */
/* fN-4(n) = fN-3(n) - kN-3 * gN-4(n-1) */
fnext = __QSUB(fcurr, (q31_t) (((q63_t) gcurr * (*pk)) >> 31));
/* gN-3(n) = kN-3 * fN-4(n) + gN-4(n-1) */
gnext = __QADD(gcurr, (q31_t) (((q63_t) fnext * (*pk++)) >> 31));
/* y(n) += gN-3(n) * vN-3 */
/* process for gN-7(n) * vN-7, gN-11(n) * vN-11 ... */
acc += ((q63_t) gnext * *pv++);
/* write gN-3(n) into state for next sample processing */
*px2++ = gnext;
/* Process sample for 5th, 9th ...taps */
/* Read gN-5(n-1) from state buffer */
gcurr = *px1++;
/* Process sample for 5th, 9th .. taps */
/* fN-5(n) = fN-4(n) - kN-4 * gN-1(n-1) */
fcurr = __QSUB(fnext, (q31_t) (((q63_t) gcurr * (*pk)) >> 31));
/* gN-4(n) = kN-4 * fN-5(n) + gN-5(n-1) */
gnext = __QADD(gcurr, (q31_t) (((q63_t) fcurr * (*pk++)) >> 31));
/* y(n) += gN-4(n) * vN-4 */
/* process for gN-8(n) * vN-8, gN-12(n) * vN-12 ... */
acc += ((q63_t) gnext * *pv++);
/* write gN-4(n) into state for next sample processing */
*px2++ = gnext;
tapCnt--;
}
fnext = fcurr;
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = (numStages - 1U) % 0x4U;
while (tapCnt > 0U)
{
gcurr = *px1++;
/* Process sample for last taps */
fnext = __QSUB(fcurr, (q31_t) (((q63_t) gcurr * (*pk)) >> 31));
gnext = __QADD(gcurr, (q31_t) (((q63_t) fnext * (*pk++)) >> 31));
/* Output samples for last taps */
acc += ((q63_t) gnext * *pv++);
*px2++ = gnext;
fcurr = fnext;
tapCnt--;
}
/* y(n) += g0(n) * v0 */
acc += (q63_t) fnext *(
*pv++);
*px2++ = fnext;
/* write out into pDst */
*pDst++ = (q31_t) (acc >> 31U);
/* Advance the state pointer by 4 to process the next group of 4 samples */
pState = pState + 1U;
blkCnt--;
}
/* Processing is complete. Now copy last S->numStages samples to start of the buffer
for the preperation of next frame process */
/* Points to the start of the state buffer */
pStateCurnt = &S->pState[0];
pState = &S->pState[blockSize];
tapCnt = numStages >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numStages) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
};
#else
/* Run the below code for Cortex-M0 */
/* Sample processing */
while (blkCnt > 0U)
{
/* Read Sample from input buffer */
/* fN(n) = x(n) */
fcurr = *pSrc++;
/* Initialize state read pointer */
px1 = pState;
/* Initialize state write pointer */
px2 = pState;
/* Set accumulator to zero */
acc = 0;
/* Initialize Ladder coeff pointer */
pv = &S->pvCoeffs[0];
/* Initialize Reflection coeff pointer */
pk = &S->pkCoeffs[0];
tapCnt = numStages;
while (tapCnt > 0U)
{
gcurr = *px1++;
/* Process sample */
/* fN-1(n) = fN(n) - kN * gN-1(n-1) */
fnext =
clip_q63_to_q31(((q63_t) fcurr -
((q31_t) (((q63_t) gcurr * (*pk)) >> 31))));
/* gN(n) = kN * fN-1(n) + gN-1(n-1) */
gnext =
clip_q63_to_q31(((q63_t) gcurr +
((q31_t) (((q63_t) fnext * (*pk++)) >> 31))));
/* Output samples */
/* y(n) += gN(n) * vN */
acc += ((q63_t) gnext * *pv++);
/* write gN-1(n-1) into state for next sample processing */
*px2++ = gnext;
/* Update f values for next coefficient processing */
fcurr = fnext;
tapCnt--;
}
/* y(n) += g0(n) * v0 */
acc += (q63_t) fnext *(
*pv++);
*px2++ = fnext;
/* write out into pDst */
*pDst++ = (q31_t) (acc >> 31U);
/* Advance the state pointer by 1 to process the next group of samples */
pState = pState + 1U;
blkCnt--;
}
/* Processing is complete. Now copy last S->numStages samples to start of the buffer
for the preperation of next frame process */
/* Points to the start of the state buffer */
pStateCurnt = &S->pState[0];
pState = &S->pState[blockSize];
tapCnt = numStages;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of IIR_Lattice group
*/

View File

@@ -1,430 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_f32.c
* Description: Processing function for the floating-point LMS filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup LMS Least Mean Square (LMS) Filters
*
* LMS filters are a class of adaptive filters that are able to "learn" an unknown transfer functions.
* LMS filters use a gradient descent method in which the filter coefficients are updated based on the instantaneous error signal.
* Adaptive filters are often used in communication systems, equalizers, and noise removal.
* The CMSIS DSP Library contains LMS filter functions that operate on Q15, Q31, and floating-point data types.
* The library also contains normalized LMS filters in which the filter coefficient adaptation is indepedent of the level of the input signal.
*
* An LMS filter consists of two components as shown below.
* The first component is a standard transversal or FIR filter.
* The second component is a coefficient update mechanism.
* The LMS filter has two input signals.
* The "input" feeds the FIR filter while the "reference input" corresponds to the desired output of the FIR filter.
* That is, the FIR filter coefficients are updated so that the output of the FIR filter matches the reference input.
* The filter coefficient update mechanism is based on the difference between the FIR filter output and the reference input.
* This "error signal" tends towards zero as the filter adapts.
* The LMS processing functions accept the input and reference input signals and generate the filter output and error signal.
* \image html LMS.gif "Internal structure of the Least Mean Square filter"
*
* The functions operate on blocks of data and each call to the function processes
* <code>blockSize</code> samples through the filter.
* <code>pSrc</code> points to input signal, <code>pRef</code> points to reference signal,
* <code>pOut</code> points to output signal and <code>pErr</code> points to error signal.
* All arrays contain <code>blockSize</code> values.
*
* The functions operate on a block-by-block basis.
* Internally, the filter coefficients <code>b[n]</code> are updated on a sample-by-sample basis.
* The convergence of the LMS filter is slower compared to the normalized LMS algorithm.
*
* \par Algorithm:
* The output signal <code>y[n]</code> is computed by a standard FIR filter:
* <pre>
* y[n] = b[0] * x[n] + b[1] * x[n-1] + b[2] * x[n-2] + ...+ b[numTaps-1] * x[n-numTaps+1]
* </pre>
*
* \par
* The error signal equals the difference between the reference signal <code>d[n]</code> and the filter output:
* <pre>
* e[n] = d[n] - y[n].
* </pre>
*
* \par
* After each sample of the error signal is computed, the filter coefficients <code>b[k]</code> are updated on a sample-by-sample basis:
* <pre>
* b[k] = b[k] + e[n] * mu * x[n-k], for k=0, 1, ..., numTaps-1
* </pre>
* where <code>mu</code> is the step size and controls the rate of coefficient convergence.
*\par
* In the APIs, <code>pCoeffs</code> points to a coefficient array of size <code>numTaps</code>.
* Coefficients are stored in time reversed order.
* \par
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to a state array of size <code>numTaps + blockSize - 1</code>.
* Samples in the state buffer are stored in the order:
* \par
* <pre>
* {x[n-numTaps+1], x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2]....x[0], x[1], ..., x[blockSize-1]}
* </pre>
* \par
* Note that the length of the state buffer exceeds the length of the coefficient array by <code>blockSize-1</code> samples.
* The increased state buffer length allows circular addressing, which is traditionally used in FIR filters,
* to be avoided and yields a significant speed improvement.
* The state variables are updated after each block of data is processed.
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter and
* coefficient and state arrays cannot be shared among instances.
* There are separate instance structure declarations for each of the 3 supported data types.
*
* \par Initialization Functions
* There is also an associated initialization function for each data type.
* The initialization function performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numTaps, pCoeffs, mu, postShift (not for f32), pState. Also set all of the values in pState to zero.
*
* \par
* Use of the initialization function is optional.
* However, if the initialization function is used, then the instance structure cannot be placed into a const data section.
* To place an instance structure into a const data section, the instance structure must be manually initialized.
* Set the values in the state buffer to zeros before static initialization.
* The code below statically initializes each of the 3 different data type filter instance structures
* <pre>
* arm_lms_instance_f32 S = {numTaps, pState, pCoeffs, mu};
* arm_lms_instance_q31 S = {numTaps, pState, pCoeffs, mu, postShift};
* arm_lms_instance_q15 S = {numTaps, pState, pCoeffs, mu, postShift};
* </pre>
* where <code>numTaps</code> is the number of filter coefficients in the filter; <code>pState</code> is the address of the state buffer;
* <code>pCoeffs</code> is the address of the coefficient buffer; <code>mu</code> is the step size parameter; and <code>postShift</code> is the shift applied to coefficients.
*
* \par Fixed-Point Behavior:
* Care must be taken when using the Q15 and Q31 versions of the LMS filter.
* The following issues must be considered:
* - Scaling of coefficients
* - Overflow and saturation
*
* \par Scaling of Coefficients:
* Filter coefficients are represented as fractional values and
* coefficients are restricted to lie in the range <code>[-1 +1)</code>.
* The fixed-point functions have an additional scaling parameter <code>postShift</code>.
* At the output of the filter's accumulator is a shift register which shifts the result by <code>postShift</code> bits.
* This essentially scales the filter coefficients by <code>2^postShift</code> and
* allows the filter coefficients to exceed the range <code>[+1 -1)</code>.
* The value of <code>postShift</code> is set by the user based on the expected gain through the system being modeled.
*
* \par Overflow and Saturation:
* Overflow and saturation behavior of the fixed-point Q15 and Q31 versions are
* described separately as part of the function specific documentation below.
*/
/**
* @addtogroup LMS
* @{
*/
/**
* @details
* This function operates on floating-point data types.
*
* @brief Processing function for floating-point LMS filter.
* @param[in] *S points to an instance of the floating-point LMS filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[in] *pRef points to the block of reference data.
* @param[out] *pOut points to the block of output data.
* @param[out] *pErr points to the block of error data.
* @param[in] blockSize number of samples to process.
* @return none.
*/
void arm_lms_f32(
const arm_lms_instance_f32 * S,
float32_t * pSrc,
float32_t * pRef,
float32_t * pOut,
float32_t * pErr,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *pStateCurnt; /* Points to the current sample of the state */
float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */
float32_t mu = S->mu; /* Adaptive factor */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t tapCnt, blkCnt; /* Loop counters */
float32_t sum, e, d; /* accumulator, error, reference data sample */
float32_t w = 0.0f; /* weight factor */
e = 0.0f;
d = 0.0f;
/* S->pState points to state array which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
blkCnt = blockSize;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Set the accumulator to zero */
sum = 0.0f;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
sum += (*px++) * (*pb++);
sum += (*px++) * (*pb++);
sum += (*px++) * (*pb++);
sum += (*px++) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
sum += (*px++) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* The result in the accumulator, store in the destination buffer. */
*pOut++ = sum;
/* Compute and store error */
d = (float32_t) (*pRef++);
e = d - sum;
*pErr++ = e;
/* Calculation of Weighting factor for the updating filter coefficients */
w = e * mu;
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Update filter coefficients */
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
*pb = *pb + (w * (*px++));
pb++;
*pb = *pb + (w * (*px++));
pb++;
*pb = *pb + (w * (*px++));
pb++;
*pb = *pb + (w * (*px++));
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
*pb = *pb + (w * (*px++));
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete. Now copy the last numTaps - 1 samples to the
satrt of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Loop unrolling for (numTaps - 1U) samples copy */
tapCnt = (numTaps - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#else
/* Run the below code for Cortex-M0 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Initialize pState pointer */
px = pState;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Set the accumulator to zero */
sum = 0.0f;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
sum += (*px++) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* The result is stored in the destination buffer. */
*pOut++ = sum;
/* Compute and store error */
d = (float32_t) (*pRef++);
e = d - sum;
*pErr++ = e;
/* Weighting factor for the LMS version */
w = e * mu;
/* Initialize pState pointer */
px = pState;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
*pb = *pb + (w * (*px++));
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete. Now copy the last numTaps - 1 samples to the
* start of the state buffer. This prepares the state buffer for the
* next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Copy (numTaps - 1U) samples */
tapCnt = (numTaps - 1U);
/* Copy the data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of LMS group
*/

View File

@@ -1,83 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_init_f32.c
* Description: Floating-point LMS filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @addtogroup LMS
* @{
*/
/**
* @brief Initialization function for floating-point LMS filter.
* @param[in] *S points to an instance of the floating-point LMS filter structure.
* @param[in] numTaps number of filter coefficients.
* @param[in] *pCoeffs points to the coefficient buffer.
* @param[in] *pState points to state buffer.
* @param[in] mu step size that controls filter coefficient updates.
* @param[in] blockSize number of samples to process.
* @return none.
*/
/**
* \par Description:
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* The initial filter coefficients serve as a starting point for the adaptive filter.
* <code>pState</code> points to an array of length <code>numTaps+blockSize-1</code> samples, where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_lms_f32()</code>.
*/
void arm_lms_init_f32(
arm_lms_instance_f32 * S,
uint16_t numTaps,
float32_t * pCoeffs,
float32_t * pState,
float32_t mu,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always blockSize + numTaps */
memset(pState, 0, (numTaps + (blockSize - 1)) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
/* Assign Step size value */
S->mu = mu;
}
/**
* @} end of LMS group
*/

View File

@@ -1,93 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_init_q15.c
* Description: Q15 LMS filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup LMS
* @{
*/
/**
* @brief Initialization function for the Q15 LMS filter.
* @param[in] *S points to an instance of the Q15 LMS filter structure.
* @param[in] numTaps number of filter coefficients.
* @param[in] *pCoeffs points to the coefficient buffer.
* @param[in] *pState points to the state buffer.
* @param[in] mu step size that controls filter coefficient updates.
* @param[in] blockSize number of samples to process.
* @param[in] postShift bit shift applied to coefficients.
* @return none.
*
* \par Description:
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* The initial filter coefficients serve as a starting point for the adaptive filter.
* <code>pState</code> points to the array of state variables and size of array is
* <code>numTaps+blockSize-1</code> samples, where <code>blockSize</code> is the number of
* input samples processed by each call to <code>arm_lms_q15()</code>.
*/
void arm_lms_init_q15(
arm_lms_instance_q15 * S,
uint16_t numTaps,
q15_t * pCoeffs,
q15_t * pState,
q15_t mu,
uint32_t blockSize,
uint32_t postShift)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always blockSize + numTaps - 1 */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q15_t));
/* Assign state pointer */
S->pState = pState;
/* Assign Step size value */
S->mu = mu;
/* Assign postShift value to be applied */
S->postShift = postShift;
}
/**
* @} end of LMS group
*/

View File

@@ -1,93 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_init_q31.c
* Description: Q31 LMS filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup LMS
* @{
*/
/**
* @brief Initialization function for Q31 LMS filter.
* @param[in] *S points to an instance of the Q31 LMS filter structure.
* @param[in] numTaps number of filter coefficients.
* @param[in] *pCoeffs points to coefficient buffer.
* @param[in] *pState points to state buffer.
* @param[in] mu step size that controls filter coefficient updates.
* @param[in] blockSize number of samples to process.
* @param[in] postShift bit shift applied to coefficients.
* @return none.
*
* \par Description:
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* The initial filter coefficients serve as a starting point for the adaptive filter.
* <code>pState</code> points to an array of length <code>numTaps+blockSize-1</code> samples,
* where <code>blockSize</code> is the number of input samples processed by each call to
* <code>arm_lms_q31()</code>.
*/
void arm_lms_init_q31(
arm_lms_instance_q31 * S,
uint16_t numTaps,
q31_t * pCoeffs,
q31_t * pState,
q31_t mu,
uint32_t blockSize,
uint32_t postShift)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always blockSize + numTaps - 1 */
memset(pState, 0, ((uint32_t) numTaps + (blockSize - 1U)) * sizeof(q31_t));
/* Assign state pointer */
S->pState = pState;
/* Assign Step size value */
S->mu = mu;
/* Assign postShift value to be applied */
S->postShift = postShift;
}
/**
* @} end of LMS group
*/

View File

@@ -1,454 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_norm_f32.c
* Description: Processing function for the floating-point Normalised LMS
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @defgroup LMS_NORM Normalized LMS Filters
*
* This set of functions implements a commonly used adaptive filter.
* It is related to the Least Mean Square (LMS) adaptive filter and includes an additional normalization
* factor which increases the adaptation rate of the filter.
* The CMSIS DSP Library contains normalized LMS filter functions that operate on Q15, Q31, and floating-point data types.
*
* A normalized least mean square (NLMS) filter consists of two components as shown below.
* The first component is a standard transversal or FIR filter.
* The second component is a coefficient update mechanism.
* The NLMS filter has two input signals.
* The "input" feeds the FIR filter while the "reference input" corresponds to the desired output of the FIR filter.
* That is, the FIR filter coefficients are updated so that the output of the FIR filter matches the reference input.
* The filter coefficient update mechanism is based on the difference between the FIR filter output and the reference input.
* This "error signal" tends towards zero as the filter adapts.
* The NLMS processing functions accept the input and reference input signals and generate the filter output and error signal.
* \image html LMS.gif "Internal structure of the NLMS adaptive filter"
*
* The functions operate on blocks of data and each call to the function processes
* <code>blockSize</code> samples through the filter.
* <code>pSrc</code> points to input signal, <code>pRef</code> points to reference signal,
* <code>pOut</code> points to output signal and <code>pErr</code> points to error signal.
* All arrays contain <code>blockSize</code> values.
*
* The functions operate on a block-by-block basis.
* Internally, the filter coefficients <code>b[n]</code> are updated on a sample-by-sample basis.
* The convergence of the LMS filter is slower compared to the normalized LMS algorithm.
*
* \par Algorithm:
* The output signal <code>y[n]</code> is computed by a standard FIR filter:
* <pre>
* y[n] = b[0] * x[n] + b[1] * x[n-1] + b[2] * x[n-2] + ...+ b[numTaps-1] * x[n-numTaps+1]
* </pre>
*
* \par
* The error signal equals the difference between the reference signal <code>d[n]</code> and the filter output:
* <pre>
* e[n] = d[n] - y[n].
* </pre>
*
* \par
* After each sample of the error signal is computed the instanteous energy of the filter state variables is calculated:
* <pre>
* E = x[n]^2 + x[n-1]^2 + ... + x[n-numTaps+1]^2.
* </pre>
* The filter coefficients <code>b[k]</code> are then updated on a sample-by-sample basis:
* <pre>
* b[k] = b[k] + e[n] * (mu/E) * x[n-k], for k=0, 1, ..., numTaps-1
* </pre>
* where <code>mu</code> is the step size and controls the rate of coefficient convergence.
*\par
* In the APIs, <code>pCoeffs</code> points to a coefficient array of size <code>numTaps</code>.
* Coefficients are stored in time reversed order.
* \par
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* \par
* <code>pState</code> points to a state array of size <code>numTaps + blockSize - 1</code>.
* Samples in the state buffer are stored in the order:
* \par
* <pre>
* {x[n-numTaps+1], x[n-numTaps], x[n-numTaps-1], x[n-numTaps-2]....x[0], x[1], ..., x[blockSize-1]}
* </pre>
* \par
* Note that the length of the state buffer exceeds the length of the coefficient array by <code>blockSize-1</code> samples.
* The increased state buffer length allows circular addressing, which is traditionally used in FIR filters,
* to be avoided and yields a significant speed improvement.
* The state variables are updated after each block of data is processed.
* \par Instance Structure
* The coefficients and state variables for a filter are stored together in an instance data structure.
* A separate instance structure must be defined for each filter and
* coefficient and state arrays cannot be shared among instances.
* There are separate instance structure declarations for each of the 3 supported data types.
*
* \par Initialization Functions
* There is also an associated initialization function for each data type.
* The initialization function performs the following operations:
* - Sets the values of the internal structure fields.
* - Zeros out the values in the state buffer.
* To do this manually without calling the init function, assign the follow subfields of the instance structure:
* numTaps, pCoeffs, mu, energy, x0, pState. Also set all of the values in pState to zero.
* For Q7, Q15, and Q31 the following fields must also be initialized;
* recipTable, postShift
*
* \par
* Instance structure cannot be placed into a const data section and it is recommended to use the initialization function.
* \par Fixed-Point Behavior:
* Care must be taken when using the Q15 and Q31 versions of the normalised LMS filter.
* The following issues must be considered:
* - Scaling of coefficients
* - Overflow and saturation
*
* \par Scaling of Coefficients:
* Filter coefficients are represented as fractional values and
* coefficients are restricted to lie in the range <code>[-1 +1)</code>.
* The fixed-point functions have an additional scaling parameter <code>postShift</code>.
* At the output of the filter's accumulator is a shift register which shifts the result by <code>postShift</code> bits.
* This essentially scales the filter coefficients by <code>2^postShift</code> and
* allows the filter coefficients to exceed the range <code>[+1 -1)</code>.
* The value of <code>postShift</code> is set by the user based on the expected gain through the system being modeled.
*
* \par Overflow and Saturation:
* Overflow and saturation behavior of the fixed-point Q15 and Q31 versions are
* described separately as part of the function specific documentation below.
*/
/**
* @addtogroup LMS_NORM
* @{
*/
/**
* @brief Processing function for floating-point normalized LMS filter.
* @param[in] *S points to an instance of the floating-point normalized LMS filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[in] *pRef points to the block of reference data.
* @param[out] *pOut points to the block of output data.
* @param[out] *pErr points to the block of error data.
* @param[in] blockSize number of samples to process.
* @return none.
*/
void arm_lms_norm_f32(
arm_lms_norm_instance_f32 * S,
float32_t * pSrc,
float32_t * pRef,
float32_t * pOut,
float32_t * pErr,
uint32_t blockSize)
{
float32_t *pState = S->pState; /* State pointer */
float32_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
float32_t *pStateCurnt; /* Points to the current sample of the state */
float32_t *px, *pb; /* Temporary pointers for state and coefficient buffers */
float32_t mu = S->mu; /* Adaptive factor */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t tapCnt, blkCnt; /* Loop counters */
float32_t energy; /* Energy of the input */
float32_t sum, e, d; /* accumulator, error, reference data sample */
float32_t w, x0, in; /* weight factor, temporary variable to hold input sample and state */
/* Initializations of error, difference, Coefficient update */
e = 0.0f;
d = 0.0f;
w = 0.0f;
energy = S->energy;
x0 = S->x0;
/* S->pState points to buffer which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Loop over blockSize number of values */
blkCnt = blockSize;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc;
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Read the sample from input buffer */
in = *pSrc++;
/* Update the energy calculation */
energy -= x0 * x0;
energy += in * in;
/* Set the accumulator to zero */
sum = 0.0f;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
sum += (*px++) * (*pb++);
sum += (*px++) * (*pb++);
sum += (*px++) * (*pb++);
sum += (*px++) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
sum += (*px++) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* The result in the accumulator, store in the destination buffer. */
*pOut++ = sum;
/* Compute and store error */
d = (float32_t) (*pRef++);
e = d - sum;
*pErr++ = e;
/* Calculation of Weighting factor for updating filter coefficients */
/* epsilon value 0.000000119209289f */
w = (e * mu) / (energy + 0.000000119209289f);
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Update filter coefficients */
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
*pb += w * (*px++);
pb++;
*pb += w * (*px++);
pb++;
*pb += w * (*px++);
pb++;
*pb += w * (*px++);
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
*pb += w * (*px++);
pb++;
/* Decrement the loop counter */
tapCnt--;
}
x0 = *pState;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
S->energy = energy;
S->x0 = x0;
/* Processing is complete. Now copy the last numTaps - 1 samples to the
satrt of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Loop unrolling for (numTaps - 1U)/4 samples copy */
tapCnt = (numTaps - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#else
/* Run the below code for Cortex-M0 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc;
/* Initialize pState pointer */
px = pState;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Read the sample from input buffer */
in = *pSrc++;
/* Update the energy calculation */
energy -= x0 * x0;
energy += in * in;
/* Set the accumulator to zero */
sum = 0.0f;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
sum += (*px++) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* The result in the accumulator is stored in the destination buffer. */
*pOut++ = sum;
/* Compute and store error */
d = (float32_t) (*pRef++);
e = d - sum;
*pErr++ = e;
/* Calculation of Weighting factor for updating filter coefficients */
/* epsilon value 0.000000119209289f */
w = (e * mu) / (energy + 0.000000119209289f);
/* Initialize pState pointer */
px = pState;
/* Initialize pCcoeffs pointer */
pb = pCoeffs;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
*pb += w * (*px++);
pb++;
/* Decrement the loop counter */
tapCnt--;
}
x0 = *pState;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
S->energy = energy;
S->x0 = x0;
/* Processing is complete. Now copy the last numTaps - 1 samples to the
satrt of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Copy (numTaps - 1U) samples */
tapCnt = (numTaps - 1U);
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of LMS_NORM group
*/

View File

@@ -1,93 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_norm_init_f32.c
* Description: Floating-point NLMS filter initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup LMS_NORM
* @{
*/
/**
* @brief Initialization function for floating-point normalized LMS filter.
* @param[in] *S points to an instance of the floating-point LMS filter structure.
* @param[in] numTaps number of filter coefficients.
* @param[in] *pCoeffs points to coefficient buffer.
* @param[in] *pState points to state buffer.
* @param[in] mu step size that controls filter coefficient updates.
* @param[in] blockSize number of samples to process.
* @return none.
*
* \par Description:
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* The initial filter coefficients serve as a starting point for the adaptive filter.
* <code>pState</code> points to an array of length <code>numTaps+blockSize-1</code> samples,
* where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_lms_norm_f32()</code>.
*/
void arm_lms_norm_init_f32(
arm_lms_norm_instance_f32 * S,
uint16_t numTaps,
float32_t * pCoeffs,
float32_t * pState,
float32_t mu,
uint32_t blockSize)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always blockSize + numTaps - 1 */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(float32_t));
/* Assign state pointer */
S->pState = pState;
/* Assign Step size value */
S->mu = mu;
/* Initialise Energy to zero */
S->energy = 0.0f;
/* Initialise x0 to zero */
S->x0 = 0.0f;
}
/**
* @} end of LMS_NORM group
*/

View File

@@ -1,100 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_norm_init_q15.c
* Description: Q15 NLMS initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
#include "arm_common_tables.h"
/**
* @addtogroup LMS_NORM
* @{
*/
/**
* @brief Initialization function for Q15 normalized LMS filter.
* @param[in] *S points to an instance of the Q15 normalized LMS filter structure.
* @param[in] numTaps number of filter coefficients.
* @param[in] *pCoeffs points to coefficient buffer.
* @param[in] *pState points to state buffer.
* @param[in] mu step size that controls filter coefficient updates.
* @param[in] blockSize number of samples to process.
* @param[in] postShift bit shift applied to coefficients.
* @return none.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* The initial filter coefficients serve as a starting point for the adaptive filter.
* <code>pState</code> points to the array of state variables and size of array is
* <code>numTaps+blockSize-1</code> samples, where <code>blockSize</code> is the number of input samples processed
* by each call to <code>arm_lms_norm_q15()</code>.
*/
void arm_lms_norm_init_q15(
arm_lms_norm_instance_q15 * S,
uint16_t numTaps,
q15_t * pCoeffs,
q15_t * pState,
q15_t mu,
uint32_t blockSize,
uint8_t postShift)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always blockSize + numTaps - 1 */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q15_t));
/* Assign post Shift value applied to coefficients */
S->postShift = postShift;
/* Assign state pointer */
S->pState = pState;
/* Assign Step size value */
S->mu = mu;
/* Initialize reciprocal pointer table */
S->recipTable = (q15_t *) armRecipTableQ15;
/* Initialise Energy to zero */
S->energy = 0;
/* Initialise x0 to zero */
S->x0 = 0;
}
/**
* @} end of LMS_NORM group
*/

View File

@@ -1,99 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_norm_init_q31.c
* Description: Q31 NLMS initialization function
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
#include "arm_common_tables.h"
/**
* @addtogroup LMS_NORM
* @{
*/
/**
* @brief Initialization function for Q31 normalized LMS filter.
* @param[in] *S points to an instance of the Q31 normalized LMS filter structure.
* @param[in] numTaps number of filter coefficients.
* @param[in] *pCoeffs points to coefficient buffer.
* @param[in] *pState points to state buffer.
* @param[in] mu step size that controls filter coefficient updates.
* @param[in] blockSize number of samples to process.
* @param[in] postShift bit shift applied to coefficients.
* @return none.
*
* <b>Description:</b>
* \par
* <code>pCoeffs</code> points to the array of filter coefficients stored in time reversed order:
* <pre>
* {b[numTaps-1], b[numTaps-2], b[N-2], ..., b[1], b[0]}
* </pre>
* The initial filter coefficients serve as a starting point for the adaptive filter.
* <code>pState</code> points to an array of length <code>numTaps+blockSize-1</code> samples,
* where <code>blockSize</code> is the number of input samples processed by each call to <code>arm_lms_norm_q31()</code>.
*/
void arm_lms_norm_init_q31(
arm_lms_norm_instance_q31 * S,
uint16_t numTaps,
q31_t * pCoeffs,
q31_t * pState,
q31_t mu,
uint32_t blockSize,
uint8_t postShift)
{
/* Assign filter taps */
S->numTaps = numTaps;
/* Assign coefficient pointer */
S->pCoeffs = pCoeffs;
/* Clear state buffer and size is always blockSize + numTaps - 1 */
memset(pState, 0, (numTaps + (blockSize - 1U)) * sizeof(q31_t));
/* Assign post Shift value applied to coefficients */
S->postShift = postShift;
/* Assign state pointer */
S->pState = pState;
/* Assign Step size value */
S->mu = mu;
/* Initialize reciprocal pointer table */
S->recipTable = (q31_t *) armRecipTableQ31;
/* Initialise Energy to zero */
S->energy = 0;
/* Initialise x0 to zero */
S->x0 = 0;
}
/**
* @} end of LMS_NORM group
*/

View File

@@ -1,428 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_norm_q15.c
* Description: Q15 NLMS filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup LMS_NORM
* @{
*/
/**
* @brief Processing function for Q15 normalized LMS filter.
* @param[in] *S points to an instance of the Q15 normalized LMS filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[in] *pRef points to the block of reference data.
* @param[out] *pOut points to the block of output data.
* @param[out] *pErr points to the block of error data.
* @param[in] blockSize number of samples to process.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using a 64-bit internal accumulator.
* Both coefficients and state variables are represented in 1.15 format and
* multiplications yield a 2.30 result. The 2.30 intermediate results are
* accumulated in a 64-bit accumulator in 34.30 format.
* There is no risk of internal overflow with this approach and the full
* precision of intermediate multiplications is preserved. After all additions
* have been performed, the accumulator is truncated to 34.15 format by
* discarding low 15 bits. Lastly, the accumulator is saturated to yield a
* result in 1.15 format.
*
* \par
* In this filter, filter coefficients are updated for each sample and the updation of filter cofficients are saturted.
*
*/
void arm_lms_norm_q15(
arm_lms_norm_instance_q15 * S,
q15_t * pSrc,
q15_t * pRef,
q15_t * pOut,
q15_t * pErr,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t *px, *pb; /* Temporary pointers for state and coefficient buffers */
q15_t mu = S->mu; /* Adaptive factor */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t tapCnt, blkCnt; /* Loop counters */
q31_t energy; /* Energy of the input */
q63_t acc; /* Accumulator */
q15_t e = 0, d = 0; /* error, reference data sample */
q15_t w = 0, in; /* weight factor and state */
q15_t x0; /* temporary variable to hold input sample */
//uint32_t shift = (uint32_t) S->postShift + 1U; /* Shift to be applied to the output */
q15_t errorXmu, oneByEnergy; /* Temporary variables to store error and mu product and reciprocal of energy */
q15_t postShift; /* Post shift to be applied to weight after reciprocal calculation */
q31_t coef; /* Teporary variable for coefficient */
q31_t acc_l, acc_h;
int32_t lShift = (15 - (int32_t) S->postShift); /* Post shift */
int32_t uShift = (32 - lShift);
energy = S->energy;
x0 = S->x0;
/* S->pState points to buffer which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Loop over blockSize number of values */
blkCnt = blockSize;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc;
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Read the sample from input buffer */
in = *pSrc++;
/* Update the energy calculation */
energy -= (((q31_t) x0 * (x0)) >> 15);
energy += (((q31_t) in * (in)) >> 15);
/* Set the accumulator to zero */
acc = 0;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
#ifndef UNALIGNED_SUPPORT_DISABLE
acc = __SMLALD(*__SIMD32(px)++, (*__SIMD32(pb)++), acc);
acc = __SMLALD(*__SIMD32(px)++, (*__SIMD32(pb)++), acc);
#else
acc += (((q31_t) * px++ * (*pb++)));
acc += (((q31_t) * px++ * (*pb++)));
acc += (((q31_t) * px++ * (*pb++)));
acc += (((q31_t) * px++ * (*pb++)));
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += (((q31_t) * px++ * (*pb++)));
/* Decrement the loop counter */
tapCnt--;
}
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Converting the result to 1.15 format and saturate the output */
acc = __SSAT(acc, 16U);
/* Store the result from accumulator into the destination buffer. */
*pOut++ = (q15_t) acc;
/* Compute and store error */
d = *pRef++;
e = d - (q15_t) acc;
*pErr++ = e;
/* Calculation of 1/energy */
postShift = arm_recip_q15((q15_t) energy + DELTA_Q15,
&oneByEnergy, S->recipTable);
/* Calculation of e * mu value */
errorXmu = (q15_t) (((q31_t) e * mu) >> 15);
/* Calculation of (e * mu) * (1/energy) value */
acc = (((q31_t) errorXmu * oneByEnergy) >> (15 - postShift));
/* Weighting factor for the normalized version */
w = (q15_t) __SSAT((q31_t) acc, 16);
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Update filter coefficients */
while (tapCnt > 0U)
{
coef = *pb + (((q31_t) w * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
coef = *pb + (((q31_t) w * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
coef = *pb + (((q31_t) w * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
coef = *pb + (((q31_t) w * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
coef = *pb + (((q31_t) w * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
/* Decrement the loop counter */
tapCnt--;
}
/* Read the sample from state buffer */
x0 = *pState;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1U;
/* Decrement the loop counter */
blkCnt--;
}
/* Save energy and x0 values for the next frame */
S->energy = (q15_t) energy;
S->x0 = x0;
/* Processing is complete. Now copy the last numTaps - 1 samples to the
satrt of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Calculation of count for copying integer writes */
tapCnt = (numTaps - 1U) >> 2;
while (tapCnt > 0U)
{
#ifndef UNALIGNED_SUPPORT_DISABLE
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
#else
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
#endif
tapCnt--;
}
/* Calculation of count for remaining q15_t data */
tapCnt = (numTaps - 1U) % 0x4U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#else
/* Run the below code for Cortex-M0 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc;
/* Initialize pState pointer */
px = pState;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Read the sample from input buffer */
in = *pSrc++;
/* Update the energy calculation */
energy -= (((q31_t) x0 * (x0)) >> 15);
energy += (((q31_t) in * (in)) >> 15);
/* Set the accumulator to zero */
acc = 0;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += (((q31_t) * px++ * (*pb++)));
/* Decrement the loop counter */
tapCnt--;
}
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Converting the result to 1.15 format and saturate the output */
acc = __SSAT(acc, 16U);
/* Converting the result to 1.15 format */
//acc = __SSAT((acc >> (16U - shift)), 16U);
/* Store the result from accumulator into the destination buffer. */
*pOut++ = (q15_t) acc;
/* Compute and store error */
d = *pRef++;
e = d - (q15_t) acc;
*pErr++ = e;
/* Calculation of 1/energy */
postShift = arm_recip_q15((q15_t) energy + DELTA_Q15,
&oneByEnergy, S->recipTable);
/* Calculation of e * mu value */
errorXmu = (q15_t) (((q31_t) e * mu) >> 15);
/* Calculation of (e * mu) * (1/energy) value */
acc = (((q31_t) errorXmu * oneByEnergy) >> (15 - postShift));
/* Weighting factor for the normalized version */
w = (q15_t) __SSAT((q31_t) acc, 16);
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
coef = *pb + (((q31_t) w * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
/* Decrement the loop counter */
tapCnt--;
}
/* Read the sample from state buffer */
x0 = *pState;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1U;
/* Decrement the loop counter */
blkCnt--;
}
/* Save energy and x0 values for the next frame */
S->energy = (q15_t) energy;
S->x0 = x0;
/* Processing is complete. Now copy the last numTaps - 1 samples to the
satrt of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* copy (numTaps - 1U) data */
tapCnt = (numTaps - 1U);
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of LMS_NORM group
*/

View File

@@ -1,419 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_norm_q31.c
* Description: Processing function for the Q31 NLMS filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup LMS_NORM
* @{
*/
/**
* @brief Processing function for Q31 normalized LMS filter.
* @param[in] *S points to an instance of the Q31 normalized LMS filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[in] *pRef points to the block of reference data.
* @param[out] *pOut points to the block of output data.
* @param[out] *pErr points to the block of error data.
* @param[in] blockSize number of samples to process.
* @return none.
*
* <b>Scaling and Overflow Behavior:</b>
* \par
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate
* multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around rather than clip.
* In order to avoid overflows completely the input signal must be scaled down by
* log2(numTaps) bits. The reference signal should not be scaled down.
* After all multiply-accumulates are performed, the 2.62 accumulator is shifted
* and saturated to 1.31 format to yield the final result.
* The output signal and error signal are in 1.31 format.
*
* \par
* In this filter, filter coefficients are updated for each sample and the
* updation of filter cofficients are saturted.
*
*/
void arm_lms_norm_q31(
arm_lms_norm_instance_q31 * S,
q31_t * pSrc,
q31_t * pRef,
q31_t * pOut,
q31_t * pErr,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *pStateCurnt; /* Points to the current sample of the state */
q31_t *px, *pb; /* Temporary pointers for state and coefficient buffers */
q31_t mu = S->mu; /* Adaptive factor */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
uint32_t tapCnt, blkCnt; /* Loop counters */
q63_t energy; /* Energy of the input */
q63_t acc; /* Accumulator */
q31_t e = 0, d = 0; /* error, reference data sample */
q31_t w = 0, in; /* weight factor and state */
q31_t x0; /* temporary variable to hold input sample */
// uint32_t shift = 32U - ((uint32_t) S->postShift + 1U); /* Shift to be applied to the output */
q31_t errorXmu, oneByEnergy; /* Temporary variables to store error and mu product and reciprocal of energy */
q31_t postShift; /* Post shift to be applied to weight after reciprocal calculation */
q31_t coef; /* Temporary variable for coef */
q31_t acc_l, acc_h; /* temporary input */
uint32_t uShift = ((uint32_t) S->postShift + 1U);
uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */
energy = S->energy;
x0 = S->x0;
/* S->pState points to buffer which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Loop over blockSize number of values */
blkCnt = blockSize;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc;
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Read the sample from input buffer */
in = *pSrc++;
/* Update the energy calculation */
energy = (q31_t) ((((q63_t) energy << 32) -
(((q63_t) x0 * x0) << 1)) >> 32);
energy = (q31_t) (((((q63_t) in * in) << 1) + (energy << 32)) >> 32);
/* Set the accumulator to zero */
acc = 0;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += ((q63_t) (*px++)) * (*pb++);
acc += ((q63_t) (*px++)) * (*pb++);
acc += ((q63_t) (*px++)) * (*pb++);
acc += ((q63_t) (*px++)) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += ((q63_t) (*px++)) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* Converting the result to 1.31 format */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
acc = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the result from accumulator into the destination buffer. */
*pOut++ = (q31_t) acc;
/* Compute and store error */
d = *pRef++;
e = d - (q31_t) acc;
*pErr++ = e;
/* Calculates the reciprocal of energy */
postShift = arm_recip_q31(energy + DELTA_Q31,
&oneByEnergy, &S->recipTable[0]);
/* Calculation of product of (e * mu) */
errorXmu = (q31_t) (((q63_t) e * mu) >> 31);
/* Weighting factor for the normalized version */
w = clip_q63_to_q31(((q63_t) errorXmu * oneByEnergy) >> (31 - postShift));
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Update filter coefficients */
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
/* coef is in 2.30 format */
coef = (q31_t) (((q63_t) w * (*px++)) >> (32));
/* get coef in 1.31 format by left shifting */
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
/* update coefficient buffer to next coefficient */
pb++;
coef = (q31_t) (((q63_t) w * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
coef = (q31_t) (((q63_t) w * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
coef = (q31_t) (((q63_t) w * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
coef = (q31_t) (((q63_t) w * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* Read the sample from state buffer */
x0 = *pState;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Save energy and x0 values for the next frame */
S->energy = (q31_t) energy;
S->x0 = x0;
/* Processing is complete. Now copy the last numTaps - 1 samples to the
satrt of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Loop unrolling for (numTaps - 1U) samples copy */
tapCnt = (numTaps - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#else
/* Run the below code for Cortex-M0 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc;
/* Initialize pState pointer */
px = pState;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Read the sample from input buffer */
in = *pSrc++;
/* Update the energy calculation */
energy =
(q31_t) ((((q63_t) energy << 32) - (((q63_t) x0 * x0) << 1)) >> 32);
energy = (q31_t) (((((q63_t) in * in) << 1) + (energy << 32)) >> 32);
/* Set the accumulator to zero */
acc = 0;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += ((q63_t) (*px++)) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* Converting the result to 1.31 format */
/* Converting the result to 1.31 format */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
acc = (uint32_t) acc_l >> lShift | acc_h << uShift;
//acc = (q31_t) (acc >> shift);
/* Store the result from accumulator into the destination buffer. */
*pOut++ = (q31_t) acc;
/* Compute and store error */
d = *pRef++;
e = d - (q31_t) acc;
*pErr++ = e;
/* Calculates the reciprocal of energy */
postShift =
arm_recip_q31(energy + DELTA_Q31, &oneByEnergy, &S->recipTable[0]);
/* Calculation of product of (e * mu) */
errorXmu = (q31_t) (((q63_t) e * mu) >> 31);
/* Weighting factor for the normalized version */
w = clip_q63_to_q31(((q63_t) errorXmu * oneByEnergy) >> (31 - postShift));
/* Initialize pState pointer */
px = pState;
/* Initialize coeff pointer */
pb = (pCoeffs);
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
/* coef is in 2.30 format */
coef = (q31_t) (((q63_t) w * (*px++)) >> (32));
/* get coef in 1.31 format by left shifting */
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
/* update coefficient buffer to next coefficient */
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* Read the sample from state buffer */
x0 = *pState;
/* Advance state pointer by 1 for the next sample */
pState = pState + 1;
/* Decrement the loop counter */
blkCnt--;
}
/* Save energy and x0 values for the next frame */
S->energy = (q31_t) energy;
S->x0 = x0;
/* Processing is complete. Now copy the last numTaps - 1 samples to the
start of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Loop for (numTaps - 1U) samples copy */
tapCnt = (numTaps - 1U);
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of LMS_NORM group
*/

View File

@@ -1,368 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_q15.c
* Description: Processing function for the Q15 LMS filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup LMS
* @{
*/
/**
* @brief Processing function for Q15 LMS filter.
* @param[in] *S points to an instance of the Q15 LMS filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[in] *pRef points to the block of reference data.
* @param[out] *pOut points to the block of output data.
* @param[out] *pErr points to the block of error data.
* @param[in] blockSize number of samples to process.
* @return none.
*
* \par Scaling and Overflow Behavior:
* The function is implemented using a 64-bit internal accumulator.
* Both coefficients and state variables are represented in 1.15 format and multiplications yield a 2.30 result.
* The 2.30 intermediate results are accumulated in a 64-bit accumulator in 34.30 format.
* There is no risk of internal overflow with this approach and the full precision of intermediate multiplications is preserved.
* After all additions have been performed, the accumulator is truncated to 34.15 format by discarding low 15 bits.
* Lastly, the accumulator is saturated to yield a result in 1.15 format.
*
* \par
* In this filter, filter coefficients are updated for each sample and the updation of filter cofficients are saturted.
*
*/
void arm_lms_q15(
const arm_lms_instance_q15 * S,
q15_t * pSrc,
q15_t * pRef,
q15_t * pOut,
q15_t * pErr,
uint32_t blockSize)
{
q15_t *pState = S->pState; /* State pointer */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
q15_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q15_t *pStateCurnt; /* Points to the current sample of the state */
q15_t mu = S->mu; /* Adaptive factor */
q15_t *px; /* Temporary pointer for state */
q15_t *pb; /* Temporary pointer for coefficient buffer */
uint32_t tapCnt, blkCnt; /* Loop counters */
q63_t acc; /* Accumulator */
q15_t e = 0; /* error of data sample */
q15_t alpha; /* Intermediate constant for taps update */
q31_t coef; /* Teporary variable for coefficient */
q31_t acc_l, acc_h;
int32_t lShift = (15 - (int32_t) S->postShift); /* Post shift */
int32_t uShift = (32 - lShift);
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
/* S->pState points to buffer which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Initializing blkCnt with blockSize */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Initialize state pointer */
px = pState;
/* Initialize coefficient pointer */
pb = pCoeffs;
/* Set the accumulator to zero */
acc = 0;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2U;
while (tapCnt > 0U)
{
/* acc += b[N] * x[n-N] + b[N-1] * x[n-N-1] */
/* Perform the multiply-accumulate */
#ifndef UNALIGNED_SUPPORT_DISABLE
acc = __SMLALD(*__SIMD32(px)++, (*__SIMD32(pb)++), acc);
acc = __SMLALD(*__SIMD32(px)++, (*__SIMD32(pb)++), acc);
#else
acc += (q63_t) (((q31_t) (*px++) * (*pb++)));
acc += (q63_t) (((q31_t) (*px++) * (*pb++)));
acc += (q63_t) (((q31_t) (*px++) * (*pb++)));
acc += (q63_t) (((q31_t) (*px++) * (*pb++)));
#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += (q63_t) (((q31_t) (*px++) * (*pb++)));
/* Decrement the loop counter */
tapCnt--;
}
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Converting the result to 1.15 format and saturate the output */
acc = __SSAT(acc, 16);
/* Store the result from accumulator into the destination buffer. */
*pOut++ = (q15_t) acc;
/* Compute and store error */
e = *pRef++ - (q15_t) acc;
*pErr++ = (q15_t) e;
/* Compute alpha i.e. intermediate constant for taps update */
alpha = (q15_t) (((q31_t) e * (mu)) >> 15);
/* Initialize state pointer */
/* Advance state pointer by 1 for the next sample */
px = pState++;
/* Initialize coefficient pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2U;
/* Update filter coefficients */
while (tapCnt > 0U)
{
coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
/* Decrement the loop counter */
tapCnt--;
}
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete. Now copy the last numTaps - 1 samples to the
satrt of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Calculation of count for copying integer writes */
tapCnt = (numTaps - 1U) >> 2;
while (tapCnt > 0U)
{
#ifndef UNALIGNED_SUPPORT_DISABLE
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
*__SIMD32(pStateCurnt)++ = *__SIMD32(pState)++;
#else
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
#endif
tapCnt--;
}
/* Calculation of count for remaining q15_t data */
tapCnt = (numTaps - 1U) % 0x4U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#else
/* Run the below code for Cortex-M0 */
/* S->pState points to buffer which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Loop over blockSize number of values */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Initialize pState pointer */
px = pState;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Set the accumulator to zero */
acc = 0;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += (q63_t) ((q31_t) (*px++) * (*pb++));
/* Decrement the loop counter */
tapCnt--;
}
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
/* Apply shift for lower part of acc and upper part of acc */
acc = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Converting the result to 1.15 format and saturate the output */
acc = __SSAT(acc, 16);
/* Store the result from accumulator into the destination buffer. */
*pOut++ = (q15_t) acc;
/* Compute and store error */
e = *pRef++ - (q15_t) acc;
*pErr++ = (q15_t) e;
/* Compute alpha i.e. intermediate constant for taps update */
alpha = (q15_t) (((q31_t) e * (mu)) >> 15);
/* Initialize pState pointer */
/* Advance state pointer by 1 for the next sample */
px = pState++;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
coef = (q31_t) * pb + (((q31_t) alpha * (*px++)) >> 15);
*pb++ = (q15_t) __SSAT((coef), 16);
/* Decrement the loop counter */
tapCnt--;
}
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete. Now copy the last numTaps - 1 samples to the
start of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Copy (numTaps - 1U) samples */
tapCnt = (numTaps - 1U);
/* Copy the data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of LMS group
*/

View File

@@ -1,357 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_lms_q31.c
* Description: Processing function for the Q31 LMS filter
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupFilters
*/
/**
* @addtogroup LMS
* @{
*/
/**
* @brief Processing function for Q31 LMS filter.
* @param[in] *S points to an instance of the Q15 LMS filter structure.
* @param[in] *pSrc points to the block of input data.
* @param[in] *pRef points to the block of reference data.
* @param[out] *pOut points to the block of output data.
* @param[out] *pErr points to the block of error data.
* @param[in] blockSize number of samples to process.
* @return none.
*
* \par Scaling and Overflow Behavior:
* The function is implemented using an internal 64-bit accumulator.
* The accumulator has a 2.62 format and maintains full precision of the intermediate
* multiplication results but provides only a single guard bit.
* Thus, if the accumulator result overflows it wraps around rather than clips.
* In order to avoid overflows completely the input signal must be scaled down by
* log2(numTaps) bits.
* The reference signal should not be scaled down.
* After all multiply-accumulates are performed, the 2.62 accumulator is shifted
* and saturated to 1.31 format to yield the final result.
* The output signal and error signal are in 1.31 format.
*
* \par
* In this filter, filter coefficients are updated for each sample and the updation of filter cofficients are saturted.
*/
void arm_lms_q31(
const arm_lms_instance_q31 * S,
q31_t * pSrc,
q31_t * pRef,
q31_t * pOut,
q31_t * pErr,
uint32_t blockSize)
{
q31_t *pState = S->pState; /* State pointer */
uint32_t numTaps = S->numTaps; /* Number of filter coefficients in the filter */
q31_t *pCoeffs = S->pCoeffs; /* Coefficient pointer */
q31_t *pStateCurnt; /* Points to the current sample of the state */
q31_t mu = S->mu; /* Adaptive factor */
q31_t *px; /* Temporary pointer for state */
q31_t *pb; /* Temporary pointer for coefficient buffer */
uint32_t tapCnt, blkCnt; /* Loop counters */
q63_t acc; /* Accumulator */
q31_t e = 0; /* error of data sample */
q31_t alpha; /* Intermediate constant for taps update */
q31_t coef; /* Temporary variable for coef */
q31_t acc_l, acc_h; /* temporary input */
uint32_t uShift = ((uint32_t) S->postShift + 1U);
uint32_t lShift = 32U - uShift; /* Shift to be applied to the output */
/* S->pState points to buffer which contains previous frame (numTaps - 1) samples */
/* pStateCurnt points to the location where the new input data should be written */
pStateCurnt = &(S->pState[(numTaps - 1U)]);
/* Initializing blkCnt with blockSize */
blkCnt = blockSize;
#if defined (ARM_MATH_DSP)
/* Run the below code for Cortex-M4 and Cortex-M3 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Initialize state pointer */
px = pState;
/* Initialize coefficient pointer */
pb = pCoeffs;
/* Set the accumulator to zero */
acc = 0;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
/* acc += b[N] * x[n-N] */
acc += ((q63_t) (*px++)) * (*pb++);
/* acc += b[N-1] * x[n-N-1] */
acc += ((q63_t) (*px++)) * (*pb++);
/* acc += b[N-2] * x[n-N-2] */
acc += ((q63_t) (*px++)) * (*pb++);
/* acc += b[N-3] * x[n-N-3] */
acc += ((q63_t) (*px++)) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += ((q63_t) (*px++)) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* Converting the result to 1.31 format */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
acc = (uint32_t) acc_l >> lShift | acc_h << uShift;
/* Store the result from accumulator into the destination buffer. */
*pOut++ = (q31_t) acc;
/* Compute and store error */
e = *pRef++ - (q31_t) acc;
*pErr++ = (q31_t) e;
/* Compute alpha i.e. intermediate constant for taps update */
alpha = (q31_t) (((q63_t) e * mu) >> 31);
/* Initialize state pointer */
/* Advance state pointer by 1 for the next sample */
px = pState++;
/* Initialize coefficient pointer */
pb = pCoeffs;
/* Loop unrolling. Process 4 taps at a time. */
tapCnt = numTaps >> 2;
/* Update filter coefficients */
while (tapCnt > 0U)
{
/* coef is in 2.30 format */
coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32));
/* get coef in 1.31 format by left shifting */
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
/* update coefficient buffer to next coefficient */
pb++;
coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* If the filter length is not a multiple of 4, compute the remaining filter taps */
tapCnt = numTaps % 0x4U;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete. Now copy the last numTaps - 1 samples to the
satrt of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Loop unrolling for (numTaps - 1U) samples copy */
tapCnt = (numTaps - 1U) >> 2U;
/* copy data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
/* Calculate remaining number of copies */
tapCnt = (numTaps - 1U) % 0x4U;
/* Copy the remaining q31_t data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#else
/* Run the below code for Cortex-M0 */
while (blkCnt > 0U)
{
/* Copy the new input sample into the state buffer */
*pStateCurnt++ = *pSrc++;
/* Initialize pState pointer */
px = pState;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Set the accumulator to zero */
acc = 0;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
acc += ((q63_t) (*px++)) * (*pb++);
/* Decrement the loop counter */
tapCnt--;
}
/* Converting the result to 1.31 format */
/* Store the result from accumulator into the destination buffer. */
/* Calc lower part of acc */
acc_l = acc & 0xffffffff;
/* Calc upper part of acc */
acc_h = (acc >> 32) & 0xffffffff;
acc = (uint32_t) acc_l >> lShift | acc_h << uShift;
*pOut++ = (q31_t) acc;
/* Compute and store error */
e = *pRef++ - (q31_t) acc;
*pErr++ = (q31_t) e;
/* Weighting factor for the LMS version */
alpha = (q31_t) (((q63_t) e * mu) >> 31);
/* Initialize pState pointer */
/* Advance state pointer by 1 for the next sample */
px = pState++;
/* Initialize pCoeffs pointer */
pb = pCoeffs;
/* Loop over numTaps number of values */
tapCnt = numTaps;
while (tapCnt > 0U)
{
/* Perform the multiply-accumulate */
coef = (q31_t) (((q63_t) alpha * (*px++)) >> (32));
*pb = clip_q63_to_q31((q63_t) * pb + (coef << 1U));
pb++;
/* Decrement the loop counter */
tapCnt--;
}
/* Decrement the loop counter */
blkCnt--;
}
/* Processing is complete. Now copy the last numTaps - 1 samples to the
start of the state buffer. This prepares the state buffer for the
next function call. */
/* Points to the start of the pState buffer */
pStateCurnt = S->pState;
/* Copy (numTaps - 1U) samples */
tapCnt = (numTaps - 1U);
/* Copy the data */
while (tapCnt > 0U)
{
*pStateCurnt++ = *pState++;
/* Decrement the loop counter */
tapCnt--;
}
#endif /* #if defined (ARM_MATH_DSP) */
}
/**
* @} end of LMS group
*/

View File

@@ -1,196 +0,0 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_mat_add_f32.c
* Description: Floating-point matrix addition
*
* $Date: 27. January 2017
* $Revision: V.1.5.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_math.h"
/**
* @ingroup groupMatrix
*/
/**
* @defgroup MatrixAdd Matrix Addition
*
* Adds two matrices.
* \image html MatrixAddition.gif "Addition of two 3 x 3 matrices"
*
* The functions check to make sure that
* <code>pSrcA</code>, <code>pSrcB</code>, and <code>pDst</code> have the same
* number of rows and columns.
*/
/**
* @addtogroup MatrixAdd
* @{
*/
/**
* @brief Floating-point matrix addition.
* @param[in] *pSrcA points to the first input matrix structure
* @param[in] *pSrcB points to the second input matrix structure
* @param[out] *pDst points to output matrix structure
* @return The function returns either
* <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.
*/
arm_status arm_mat_add_f32(
const arm_matrix_instance_f32 * pSrcA,
const arm_matrix_instance_f32 * pSrcB,
arm_matrix_instance_f32 * pDst)
{
float32_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */
float32_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */
float32_t *pOut = pDst->pData; /* output data matrix pointer */
#if defined (ARM_MATH_DSP)
float32_t inA1, inA2, inB1, inB2, out1, out2; /* temporary variables */
#endif // #if defined (ARM_MATH_DSP)
uint32_t numSamples; /* total number of elements in the matrix */
uint32_t blkCnt; /* loop counters */
arm_status status; /* status of matrix addition */
#ifdef ARM_MATH_MATRIX_CHECK
/* Check for matrix mismatch condition */
if ((pSrcA->numRows != pSrcB->numRows) ||
(pSrcA->numCols != pSrcB->numCols) ||
(pSrcA->numRows != pDst->numRows) || (pSrcA->numCols != pDst->numCols))
{
/* Set status as ARM_MATH_SIZE_MISMATCH */
status = ARM_MATH_SIZE_MISMATCH;
}
else
#endif
{
/* Total number of samples in the input matrix */
numSamples = (uint32_t) pSrcA->numRows * pSrcA->numCols;
#if defined (ARM_MATH_DSP)
/* Loop unrolling */
blkCnt = numSamples >> 2U;
/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* C(m,n) = A(m,n) + B(m,n) */
/* Add and then store the results in the destination buffer. */
/* Read values from source A */
inA1 = pIn1[0];
/* Read values from source B */
inB1 = pIn2[0];
/* Read values from source A */
inA2 = pIn1[1];
/* out = sourceA + sourceB */
out1 = inA1 + inB1;
/* Read values from source B */
inB2 = pIn2[1];
/* Read values from source A */
inA1 = pIn1[2];
/* out = sourceA + sourceB */
out2 = inA2 + inB2;
/* Read values from source B */
inB1 = pIn2[2];
/* Store result in destination */
pOut[0] = out1;
pOut[1] = out2;
/* Read values from source A */
inA2 = pIn1[3];
/* Read values from source B */
inB2 = pIn2[3];
/* out = sourceA + sourceB */
out1 = inA1 + inB1;
/* out = sourceA + sourceB */
out2 = inA2 + inB2;
/* Store result in destination */
pOut[2] = out1;
/* Store result in destination */
pOut[3] = out2;
/* update pointers to process next sampels */
pIn1 += 4U;
pIn2 += 4U;
pOut += 4U;
/* Decrement the loop counter */
blkCnt--;
}
/* If the numSamples is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = numSamples % 0x4U;
#else
/* Run the below code for Cortex-M0 */
/* Initialize blkCnt with number of samples */
blkCnt = numSamples;
#endif /* #if defined (ARM_MATH_DSP) */
while (blkCnt > 0U)
{
/* C(m,n) = A(m,n) + B(m,n) */
/* Add and then store the results in the destination buffer. */
*pOut++ = (*pIn1++) + (*pIn2++);
/* Decrement the loop counter */
blkCnt--;
}
/* set status as ARM_MATH_SUCCESS */
status = ARM_MATH_SUCCESS;
}
/* Return to application */
return (status);
}
/**
* @} end of MatrixAdd group
*/

Some files were not shown because too many files have changed in this diff Show More