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/* ----------------------------------------------------------------------
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* Copyright (C) 2010 ARM Limited. All rights reserved.
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*
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* $Date: 15. July 2011
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* $Revision: V1.0.10
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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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*
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* Description: Processing function for the Q15 Complex Dot product
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*
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* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
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*
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* Version 1.0.10 2011/7/15
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* Big Endian support added and Merged M0 and M3/M4 Source code.
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*
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* Version 1.0.3 2010/11/29
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* Re-organized the CMSIS folders and updated documentation.
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*
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* Version 1.0.2 2010/11/11
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* Documentation updated.
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*
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* Version 1.0.1 2010/10/05
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* Production release and review comments incorporated.
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*
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* Version 1.0.0 2010/09/20
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* Production release and review comments incorporated.
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* -------------------------------------------------------------------- */
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#include "arm_math.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 *pSrcA points to the first input vector
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* @param *pSrcB points to the second input vector
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* @param numSamples number of complex samples in each vector
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* @param *realResult real part of the result returned here
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* @param *imagResult imaginary part of the result returned here
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* @return none.
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*
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* <b>Scaling and Overflow Behavior:</b>
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* \par
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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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void arm_cmplx_dot_prod_q15(
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q15_t * pSrcA,
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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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q63_t real_sum = 0, imag_sum = 0; /* Temporary result storage */
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#ifndef ARM_MATH_CM0
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/* Run the below code for Cortex-M4 and Cortex-M3 */
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uint32_t blkCnt; /* loop counter */
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/*loop Unrolling */
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blkCnt = numSamples >> 2u;
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/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
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** a second loop below computes the remaining 1 to 3 samples. */
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while(blkCnt > 0u)
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{
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/* CReal = A[0]* B[0] + A[2]* B[2] + A[4]* B[4] + .....+ A[numSamples-2]* B[numSamples-2] */
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real_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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/* CImag = A[1]* B[1] + A[3]* B[3] + A[5]* B[5] + .....+ A[numSamples-1]* B[numSamples-1] */
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imag_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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real_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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imag_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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real_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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imag_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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real_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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imag_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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/* Decrement the loop counter */
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blkCnt--;
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}
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/* If the numSamples is not a multiple of 4, compute any remaining output samples here.
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** No loop unrolling is used. */
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blkCnt = numSamples % 0x4u;
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while(blkCnt > 0u)
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{
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/* CReal = A[0]* B[0] + A[2]* B[2] + A[4]* B[4] + .....+ A[numSamples-2]* B[numSamples-2] */
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real_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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/* CImag = A[1]* B[1] + A[3]* B[3] + A[5]* B[5] + .....+ A[numSamples-1]* B[numSamples-1] */
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imag_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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/* Decrement the loop counter */
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blkCnt--;
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}
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#else
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/* Run the below code for Cortex-M0 */
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while(numSamples > 0u)
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{
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/* CReal = A[0]* B[0] + A[2]* B[2] + A[4]* B[4] + .....+ A[numSamples-2]* B[numSamples-2] */
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real_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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/* CImag = A[1]* B[1] + A[3]* B[3] + A[5]* B[5] + .....+ A[numSamples-1]* B[numSamples-1] */
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imag_sum += ((q31_t) * pSrcA++ * *pSrcB++);
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/* Decrement the loop counter */
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numSamples--;
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}
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#endif /* #ifndef ARM_MATH_CM0 */
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/* Store the real and imaginary results 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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/**
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* @} end of cmplx_dot_prod group
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*/
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