/* ---------------------------------------------------------------------- * Copyright (C) 2010-2013 ARM Limited. All rights reserved. * * $Date: 17. January 2013 * $Revision: V1.4.1 * * Project: CMSIS DSP Library * Title: arm_conv_partial_q31.c * * Description: Partial convolution of Q31 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 */ /** * @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 arm_conv_partial_fast_q31() 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) { #ifndef ARM_MATH_CM0_FAMILY /* 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); blockSize3 = (blockSize3 > 0) ? blockSize3 : 0; 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 */ 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 */ 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 = (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 */ 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 /* #ifndef ARM_MATH_CM0_FAMILY */ } /** * @} end of PartialConv group */