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arm_mean_f32.c
00001 /* ---------------------------------------------------------------------- 00002 * Project: CMSIS DSP Library 00003 * Title: arm_mean_f32.c 00004 * Description: Mean value of a floating-point vector 00005 * 00006 * $Date: 27. January 2017 00007 * $Revision: V.1.5.1 00008 * 00009 * Target Processor: Cortex-M cores 00010 * -------------------------------------------------------------------- */ 00011 /* 00012 * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved. 00013 * 00014 * SPDX-License-Identifier: Apache-2.0 00015 * 00016 * Licensed under the Apache License, Version 2.0 (the License); you may 00017 * not use this file except in compliance with the License. 00018 * You may obtain a copy of the License at 00019 * 00020 * www.apache.org/licenses/LICENSE-2.0 00021 * 00022 * Unless required by applicable law or agreed to in writing, software 00023 * distributed under the License is distributed on an AS IS BASIS, WITHOUT 00024 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 00025 * See the License for the specific language governing permissions and 00026 * limitations under the License. 00027 */ 00028 00029 #include "arm_math.h" 00030 00031 /** 00032 * @ingroup groupStats 00033 */ 00034 00035 /** 00036 * @defgroup mean Mean 00037 * 00038 * Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector. 00039 * The underlying algorithm is used: 00040 * 00041 * <pre> 00042 * Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize; 00043 * </pre> 00044 * 00045 * There are separate functions for floating-point, Q31, Q15, and Q7 data types. 00046 */ 00047 00048 /** 00049 * @addtogroup mean 00050 * @{ 00051 */ 00052 00053 00054 /** 00055 * @brief Mean value of a floating-point vector. 00056 * @param[in] *pSrc points to the input vector 00057 * @param[in] blockSize length of the input vector 00058 * @param[out] *pResult mean value returned here 00059 * @return none. 00060 */ 00061 00062 void arm_mean_f32( 00063 float32_t * pSrc, 00064 uint32_t blockSize, 00065 float32_t * pResult) 00066 { 00067 float32_t sum = 0.0f; /* Temporary result storage */ 00068 uint32_t blkCnt; /* loop counter */ 00069 00070 #if defined (ARM_MATH_DSP) 00071 /* Run the below code for Cortex-M4 and Cortex-M3 */ 00072 00073 float32_t in1, in2, in3, in4; 00074 00075 /*loop Unrolling */ 00076 blkCnt = blockSize >> 2U; 00077 00078 /* First part of the processing with loop unrolling. Compute 4 outputs at a time. 00079 ** a second loop below computes the remaining 1 to 3 samples. */ 00080 while (blkCnt > 0U) 00081 { 00082 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 00083 in1 = *pSrc++; 00084 in2 = *pSrc++; 00085 in3 = *pSrc++; 00086 in4 = *pSrc++; 00087 00088 sum += in1; 00089 sum += in2; 00090 sum += in3; 00091 sum += in4; 00092 00093 /* Decrement the loop counter */ 00094 blkCnt--; 00095 } 00096 00097 /* If the blockSize is not a multiple of 4, compute any remaining output samples here. 00098 ** No loop unrolling is used. */ 00099 blkCnt = blockSize % 0x4U; 00100 00101 #else 00102 /* Run the below code for Cortex-M0 */ 00103 00104 /* Loop over blockSize number of values */ 00105 blkCnt = blockSize; 00106 00107 #endif /* #if defined (ARM_MATH_DSP) */ 00108 00109 while (blkCnt > 0U) 00110 { 00111 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ 00112 sum += *pSrc++; 00113 00114 /* Decrement the loop counter */ 00115 blkCnt--; 00116 } 00117 00118 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */ 00119 /* Store the result to the destination */ 00120 *pResult = sum / (float32_t) blockSize; 00121 } 00122 00123 /** 00124 * @} end of mean group 00125 */ 00126
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