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arm_rms_f32.c
00001 /* ---------------------------------------------------------------------- 00002 * Project: CMSIS DSP Library 00003 * Title: arm_rms_f32.c 00004 * Description: Root mean square value of an array of F32 type 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 RMS Root mean square (RMS) 00037 * 00038 * 00039 * Calculates the Root Mean Sqaure of the elements in the input vector. 00040 * The underlying algorithm is used: 00041 * 00042 * <pre> 00043 * Result = sqrt(((pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] * pSrc[blockSize-1]) / blockSize)); 00044 * </pre> 00045 * 00046 * There are separate functions for floating point, Q31, and Q15 data types. 00047 */ 00048 00049 /** 00050 * @addtogroup RMS 00051 * @{ 00052 */ 00053 00054 00055 /** 00056 * @brief Root Mean Square of the elements of a floating-point vector. 00057 * @param[in] *pSrc points to the input vector 00058 * @param[in] blockSize length of the input vector 00059 * @param[out] *pResult rms value returned here 00060 * @return none. 00061 * 00062 */ 00063 00064 void arm_rms_f32( 00065 float32_t * pSrc, 00066 uint32_t blockSize, 00067 float32_t * pResult) 00068 { 00069 float32_t sum = 0.0f; /* Accumulator */ 00070 float32_t in; /* Tempoprary variable to store input value */ 00071 uint32_t blkCnt; /* loop counter */ 00072 00073 #if defined (ARM_MATH_DSP) 00074 /* Run the below code for Cortex-M4 and Cortex-M3 */ 00075 00076 /* loop Unrolling */ 00077 blkCnt = blockSize >> 2U; 00078 00079 /* First part of the processing with loop unrolling. Compute 4 outputs at a time. 00080 ** a second loop below computes the remaining 1 to 3 samples. */ 00081 while (blkCnt > 0U) 00082 { 00083 /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ 00084 /* Compute sum of the squares and then store the result in a temporary variable, sum */ 00085 in = *pSrc++; 00086 sum += in * in; 00087 in = *pSrc++; 00088 sum += in * in; 00089 in = *pSrc++; 00090 sum += in * in; 00091 in = *pSrc++; 00092 sum += in * in; 00093 00094 /* Decrement the loop counter */ 00095 blkCnt--; 00096 } 00097 00098 /* If the blockSize is not a multiple of 4, compute any remaining output samples here. 00099 ** No loop unrolling is used. */ 00100 blkCnt = blockSize % 0x4U; 00101 00102 #else 00103 /* Run the below code for Cortex-M0 */ 00104 00105 /* Loop over blockSize number of values */ 00106 blkCnt = blockSize; 00107 00108 #endif /* #if defined (ARM_MATH_DSP) */ 00109 00110 while (blkCnt > 0U) 00111 { 00112 /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */ 00113 /* Compute sum of the squares and then store the results in a temporary variable, sum */ 00114 in = *pSrc++; 00115 sum += in * in; 00116 00117 /* Decrement the loop counter */ 00118 blkCnt--; 00119 } 00120 00121 /* Compute Rms and store the result in the destination */ 00122 arm_sqrt_f32(sum / (float32_t) blockSize, pResult); 00123 } 00124 00125 /** 00126 * @} end of RMS group 00127 */ 00128
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