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Diffstat (limited to 'DSP_Lib/Source/FilteringFunctions/arm_conv_f32.c')
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diff --git a/DSP_Lib/Source/FilteringFunctions/arm_conv_f32.c b/DSP_Lib/Source/FilteringFunctions/arm_conv_f32.c deleted file mode 100644 index 1fdc6a1..0000000 --- a/DSP_Lib/Source/FilteringFunctions/arm_conv_f32.c +++ /dev/null @@ -1,647 +0,0 @@ -/* ---------------------------------------------------------------------------- -* Copyright (C) 2010-2014 ARM Limited. All rights reserved. -* -* $Date: 19. March 2015 -* $Revision: V.1.4.5 -* -* Project: CMSIS DSP Library -* Title: arm_conv_f32.c -* -* Description: Convolution of floating-point sequences. -* -* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0 -* -* Redistribution and use in source and binary forms, with or without -* modification, are permitted provided that the following conditions -* are met: -* - Redistributions of source code must retain the above copyright -* notice, this list of conditions and the following disclaimer. -* - Redistributions in binary form must reproduce the above copyright -* notice, this list of conditions and the following disclaimer in -* the documentation and/or other materials provided with the -* distribution. -* - Neither the name of ARM LIMITED nor the names of its contributors -* may be used to endorse or promote products derived from this -* software without specific prior written permission. -* -* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS -* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT -* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS -* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE -* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, -* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, -* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; -* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER -* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT -* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN -* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE -* POSSIBILITY OF SUCH DAMAGE. -* -------------------------------------------------------------------------- */ - -#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) -{ - - -#ifndef ARM_MATH_CM0_FAMILY - - /* 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 /* #ifndef ARM_MATH_CM0_FAMILY */ - -} - -/** - * @} end of Conv group - */ |