CMSIS DSP Library from CMSIS 2.0. See http://www.onarm.com/cmsis/ for full details
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arm_mean_q31.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_mean_q31.c 00009 * 00010 * Description: Mean value of two Q31 arrays. 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 00027 #include "arm_math.h" 00028 00029 /** 00030 * @ingroup groupStats 00031 */ 00032 00033 /** 00034 * @addtogroup mean 00035 * @{ 00036 */ 00037 00038 /** 00039 * @brief Mean value of a Q31 vector. 00040 * @param[in] *pSrc points to the input vector 00041 * @param[in] blockSize length of the input vector 00042 * @param[out] *pResult mean value returned here 00043 * @return none. 00044 * 00045 * @details 00046 * <b>Scaling and Overflow Behavior:</b> 00047 *\par 00048 * The function is implemented using a 64-bit internal accumulator. 00049 * The input is represented in 1.31 format and is accumulated in a 64-bit 00050 * accumulator in 33.31 format. 00051 * There is no risk of internal overflow with this approach, and the 00052 * full precision of intermediate result is preserved. 00053 * Finally, the accumulator is truncated to yield a result of 1.31 format. 00054 * 00055 */ 00056 00057 00058 void arm_mean_q31( 00059 q31_t * pSrc, 00060 uint32_t blockSize, 00061 q31_t * pResult) 00062 { 00063 q63_t sum = 0; /* Temporary result storage */ 00064 uint32_t blkCnt; /* loop counter */ 00065 00066 /*loop Unrolling */ 00067 blkCnt = blockSize >> 2u; 00068 00069 /* First part of the processing with loop unrolling. Compute 4 outputs at a time. 00070 ** a second loop below computes the remaining 1 to 3 samples. */ 00071 while(blkCnt > 0u) 00072 { 00073 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 00074 sum += *pSrc++; 00075 sum += *pSrc++; 00076 sum += *pSrc++; 00077 sum += *pSrc++; 00078 00079 /* Decrement the loop counter */ 00080 blkCnt--; 00081 } 00082 00083 /* If the blockSize is not a multiple of 4, compute any remaining output samples here. 00084 ** No loop unrolling is used. */ 00085 blkCnt = blockSize % 0x4u; 00086 00087 while(blkCnt > 0u) 00088 { 00089 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 00090 sum += *pSrc++; 00091 00092 /* Decrement the loop counter */ 00093 blkCnt--; 00094 } 00095 00096 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ 00097 /* Store the result to the destination */ 00098 *pResult = (q31_t) (sum / (int32_t) blockSize); 00099 } 00100 00101 /** 00102 * @} end of mean group 00103 */
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