CMSIS DSP Library from CMSIS 2.0. See http://www.onarm.com/cmsis/ for full details
Dependents: K22F_DSP_Matrix_least_square BNO055-ELEC3810 1BNO055 ECE4180Project--Slave2 ... more
arm_dot_prod_q15.c
00001 /* ---------------------------------------------------------------------- 00002 * Copyright (C) 2010 ARM Limited. All rights reserved. 00003 * 00004 * $Date: 29. November 2010 00005 * $Revision: V1.0.3 00006 * 00007 * Project: CMSIS DSP Library 00008 * Title: arm_dot_prod_q15.c 00009 * 00010 * Description: Q15 dot product. 00011 * 00012 * Target Processor: Cortex-M4/Cortex-M3 00013 * 00014 * Version 1.0.3 2010/11/29 00015 * Re-organized the CMSIS folders and updated documentation. 00016 * 00017 * Version 1.0.2 2010/11/11 00018 * Documentation updated. 00019 * 00020 * Version 1.0.1 2010/10/05 00021 * Production release and review comments incorporated. 00022 * 00023 * Version 1.0.0 2010/09/20 00024 * Production release and review comments incorporated. 00025 * 00026 * Version 0.0.7 2010/06/10 00027 * Misra-C changes done 00028 * -------------------------------------------------------------------- */ 00029 00030 #include "arm_math.h" 00031 00032 /** 00033 * @ingroup groupMath 00034 */ 00035 00036 /** 00037 * @addtogroup dot_prod 00038 * @{ 00039 */ 00040 00041 /** 00042 * @brief Dot product of Q15 vectors. 00043 * @param[in] *pSrcA points to the first input vector 00044 * @param[in] *pSrcB points to the second input vector 00045 * @param[in] blockSize number of samples in each vector 00046 * @param[out] *result output result returned here 00047 * @return none. 00048 * 00049 * <b>Scaling and Overflow Behavior:</b> 00050 * \par 00051 * The intermediate multiplications are in 1.15 x 1.15 = 2.30 format and these 00052 * results are added to a 64-bit accumulator in 34.30 format. 00053 * Nonsaturating additions are used and given that there are 33 guard bits in the accumulator 00054 * there is no risk of overflow. 00055 * The return result is in 34.30 format. 00056 */ 00057 00058 void arm_dot_prod_q15( 00059 q15_t * pSrcA, 00060 q15_t * pSrcB, 00061 uint32_t blockSize, 00062 q63_t * result) 00063 { 00064 q63_t sum = 0; /* Temporary result storage */ 00065 uint32_t blkCnt; /* loop counter */ 00066 00067 00068 /*loop Unrolling */ 00069 blkCnt = blockSize >> 2u; 00070 00071 /* First part of the processing with loop unrolling. Compute 4 outputs at a time. 00072 ** a second loop below computes the remaining 1 to 3 samples. */ 00073 while(blkCnt > 0u) 00074 { 00075 /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ 00076 /* Calculate dot product and then store the result in a temporary buffer. */ 00077 sum = __SMLALD(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++, sum); 00078 sum = __SMLALD(*__SIMD32(pSrcA)++, *__SIMD32(pSrcB)++, sum); 00079 00080 /* Decrement the loop counter */ 00081 blkCnt--; 00082 } 00083 00084 /* If the blockSize is not a multiple of 4, compute any remaining output samples here. 00085 ** No loop unrolling is used. */ 00086 blkCnt = blockSize % 0x4u; 00087 00088 while(blkCnt > 0u) 00089 { 00090 /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ 00091 /* Calculate dot product and then store the results in a temporary buffer. */ 00092 sum = __SMLALD(*pSrcA++, *pSrcB++, sum); 00093 00094 /* Decrement the loop counter */ 00095 blkCnt--; 00096 } 00097 00098 /* Store the result in the destination buffer in 34.30 format */ 00099 *result = sum; 00100 } 00101 00102 /** 00103 * @} end of dot_prod group 00104 */
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