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CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_q15.c
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CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_q15.c
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/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_cmplx_dot_prod_q15.c
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* Description: Processing function for the Q15 Complex Dot product
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*
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* $Date: 23 April 2021
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* $Revision: V1.9.0
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*
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* Target Processor: Cortex-M and Cortex-A cores
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* -------------------------------------------------------------------- */
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/*
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* Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved.
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the License); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "dsp/complex_math_functions.h"
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/**
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@ingroup groupCmplxMath
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*/
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/**
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@addtogroup cmplx_dot_prod
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@{
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*/
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/**
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@brief Q15 complex dot product.
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@param[in] pSrcA points to the first input vector
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@param[in] pSrcB points to the second input vector
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@param[in] numSamples number of samples in each vector
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@param[out] realResult real part of the result returned here
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@param[out] imagResult imaginary part of the result returned her
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@return none
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@par Scaling and Overflow Behavior
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The function is implemented using an internal 64-bit accumulator.
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The intermediate 1.15 by 1.15 multiplications are performed with full precision and yield a 2.30 result.
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These are accumulated in a 64-bit accumulator with 34.30 precision.
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As a final step, the accumulators are converted to 8.24 format.
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The return results <code>realResult</code> and <code>imagResult</code> are in 8.24 format.
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*/
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#if defined(ARM_MATH_MVEI) && !defined(ARM_MATH_AUTOVECTORIZE)
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void arm_cmplx_dot_prod_q15(
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const q15_t * pSrcA,
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const q15_t * pSrcB,
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uint32_t numSamples,
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q31_t * realResult,
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q31_t * imagResult)
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{
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int32_t blkCnt;
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q63_t accReal = 0LL;
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q63_t accImag = 0LL;
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q15x8_t vecSrcA, vecSrcB;
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q15x8_t vecSrcC, vecSrcD;
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blkCnt = (numSamples >> 3);
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blkCnt -= 1;
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if (blkCnt > 0) {
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/* should give more freedom to generate stall free code */
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vecSrcA = vld1q(pSrcA);
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vecSrcB = vld1q(pSrcB);
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pSrcA += 8;
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pSrcB += 8;
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while (blkCnt > 0) {
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accReal = vmlsldavaq(accReal, vecSrcA, vecSrcB);
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vecSrcC = vld1q(pSrcA);
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pSrcA += 8;
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accImag = vmlaldavaxq(accImag, vecSrcA, vecSrcB);
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vecSrcD = vld1q(pSrcB);
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pSrcB += 8;
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accReal = vmlsldavaq(accReal, vecSrcC, vecSrcD);
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vecSrcA = vld1q(pSrcA);
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pSrcA += 8;
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accImag = vmlaldavaxq(accImag, vecSrcC, vecSrcD);
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vecSrcB = vld1q(pSrcB);
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pSrcB += 8;
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/*
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* Decrement the blockSize loop counter
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*/
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blkCnt--;
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}
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/* process last elements out of the loop avoid the armclang breaking the SW pipeline */
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accReal = vmlsldavaq(accReal, vecSrcA, vecSrcB);
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vecSrcC = vld1q(pSrcA);
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accImag = vmlaldavaxq(accImag, vecSrcA, vecSrcB);
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vecSrcD = vld1q(pSrcB);
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accReal = vmlsldavaq(accReal, vecSrcC, vecSrcD);
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vecSrcA = vld1q(pSrcA);
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accImag = vmlaldavaxq(accImag, vecSrcC, vecSrcD);
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vecSrcB = vld1q(pSrcB);
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/*
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* tail
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*/
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blkCnt = CMPLX_DIM * (numSamples & 7);
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do {
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mve_pred16_t p = vctp16q(blkCnt);
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pSrcA += 8;
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pSrcB += 8;
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vecSrcA = vldrhq_z_s16(pSrcA, p);
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vecSrcB = vldrhq_z_s16(pSrcB, p);
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accReal = vmlsldavaq_p(accReal, vecSrcA, vecSrcB, p);
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accImag = vmlaldavaxq_p(accImag, vecSrcA, vecSrcB, p);
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blkCnt -= 8;
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}
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while ((int32_t) blkCnt > 0);
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} else {
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blkCnt = numSamples * CMPLX_DIM;
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while (blkCnt > 0) {
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mve_pred16_t p = vctp16q(blkCnt);
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vecSrcA = vldrhq_z_s16(pSrcA, p);
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vecSrcB = vldrhq_z_s16(pSrcB, p);
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accReal = vmlsldavaq_p(accReal, vecSrcA, vecSrcB, p);
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accImag = vmlaldavaxq_p(accImag, vecSrcA, vecSrcB, p);
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/*
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* Decrement the blkCnt loop counter
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* Advance vector source and destination pointers
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*/
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pSrcA += 8;
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pSrcB += 8;
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blkCnt -= 8;
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}
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}
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*realResult = asrl(accReal, (14 - 8));
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*imagResult = asrl(accImag, (14 - 8));
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}
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#else
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void arm_cmplx_dot_prod_q15(
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const q15_t * pSrcA,
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const q15_t * pSrcB,
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uint32_t numSamples,
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q31_t * realResult,
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q31_t * imagResult)
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{
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uint32_t blkCnt; /* Loop counter */
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q63_t real_sum = 0, imag_sum = 0; /* Temporary result variables */
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q15_t a0,b0,c0,d0;
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#if defined (ARM_MATH_LOOPUNROLL)
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/* Loop unrolling: Compute 4 outputs at a time */
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blkCnt = numSamples >> 2U;
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while (blkCnt > 0U)
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{
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a0 = *pSrcA++;
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b0 = *pSrcA++;
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c0 = *pSrcB++;
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d0 = *pSrcB++;
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real_sum += (q31_t)a0 * c0;
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imag_sum += (q31_t)a0 * d0;
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real_sum -= (q31_t)b0 * d0;
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imag_sum += (q31_t)b0 * c0;
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a0 = *pSrcA++;
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b0 = *pSrcA++;
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c0 = *pSrcB++;
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d0 = *pSrcB++;
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real_sum += (q31_t)a0 * c0;
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imag_sum += (q31_t)a0 * d0;
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real_sum -= (q31_t)b0 * d0;
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imag_sum += (q31_t)b0 * c0;
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a0 = *pSrcA++;
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b0 = *pSrcA++;
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c0 = *pSrcB++;
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d0 = *pSrcB++;
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real_sum += (q31_t)a0 * c0;
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imag_sum += (q31_t)a0 * d0;
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real_sum -= (q31_t)b0 * d0;
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imag_sum += (q31_t)b0 * c0;
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a0 = *pSrcA++;
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b0 = *pSrcA++;
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c0 = *pSrcB++;
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d0 = *pSrcB++;
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real_sum += (q31_t)a0 * c0;
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imag_sum += (q31_t)a0 * d0;
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real_sum -= (q31_t)b0 * d0;
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imag_sum += (q31_t)b0 * c0;
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/* Decrement loop counter */
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blkCnt--;
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}
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/* Loop unrolling: Compute remaining outputs */
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blkCnt = numSamples % 0x4U;
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#else
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/* Initialize blkCnt with number of samples */
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blkCnt = numSamples;
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#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
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while (blkCnt > 0U)
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{
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a0 = *pSrcA++;
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b0 = *pSrcA++;
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c0 = *pSrcB++;
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d0 = *pSrcB++;
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real_sum += (q31_t)a0 * c0;
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imag_sum += (q31_t)a0 * d0;
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real_sum -= (q31_t)b0 * d0;
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imag_sum += (q31_t)b0 * c0;
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/* Decrement loop counter */
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blkCnt--;
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}
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/* Store real and imaginary result in 8.24 format */
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/* Convert real data in 34.30 to 8.24 by 6 right shifts */
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*realResult = (q31_t) (real_sum >> 6);
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/* Convert imaginary data in 34.30 to 8.24 by 6 right shifts */
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*imagResult = (q31_t) (imag_sum >> 6);
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}
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#endif /* defined(ARM_MATH_MVEI) */
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/**
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@} end of cmplx_dot_prod group
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*/
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