source: S-port/trunk/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_rms_f32.c

Last change on this file was 1, checked in by AlexLir, 3 years ago
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1/* ----------------------------------------------------------------------
2 * Project: CMSIS DSP Library
3 * Title: arm_rms_f32.c
4 * Description: Root mean square value of an array of F32 type
5 *
6 * $Date: 27. January 2017
7 * $Revision: V.1.5.1
8 *
9 * Target Processor: Cortex-M cores
10 * -------------------------------------------------------------------- */
11/*
12 * Copyright (C) 2010-2017 ARM Limited or its affiliates. All rights reserved.
13 *
14 * SPDX-License-Identifier: Apache-2.0
15 *
16 * Licensed under the Apache License, Version 2.0 (the License); you may
17 * not use this file except in compliance with the License.
18 * You may obtain a copy of the License at
19 *
20 * www.apache.org/licenses/LICENSE-2.0
21 *
22 * Unless required by applicable law or agreed to in writing, software
23 * distributed under the License is distributed on an AS IS BASIS, WITHOUT
24 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
25 * See the License for the specific language governing permissions and
26 * limitations under the License.
27 */
28
29#include "arm_math.h"
30
31/**
32 * @ingroup groupStats
33 */
34
35/**
36 * @defgroup RMS Root mean square (RMS)
37 *
38 *
39 * Calculates the Root Mean Sqaure of the elements in the input vector.
40 * The underlying algorithm is used:
41 *
42 * <pre>
43 * Result = sqrt(((pSrc[0] * pSrc[0] + pSrc[1] * pSrc[1] + ... + pSrc[blockSize-1] * pSrc[blockSize-1]) / blockSize));
44 * </pre>
45 *
46 * There are separate functions for floating point, Q31, and Q15 data types.
47 */
48
49/**
50 * @addtogroup RMS
51 * @{
52 */
53
54
55/**
56 * @brief Root Mean Square of the elements of a floating-point vector.
57 * @param[in] *pSrc points to the input vector
58 * @param[in] blockSize length of the input vector
59 * @param[out] *pResult rms value returned here
60 * @return none.
61 *
62 */
63
64void arm_rms_f32(
65 float32_t * pSrc,
66 uint32_t blockSize,
67 float32_t * pResult)
68{
69 float32_t sum = 0.0f; /* Accumulator */
70 float32_t in; /* Tempoprary variable to store input value */
71 uint32_t blkCnt; /* loop counter */
72
73#if defined (ARM_MATH_DSP)
74 /* Run the below code for Cortex-M4 and Cortex-M3 */
75
76 /* loop Unrolling */
77 blkCnt = blockSize >> 2U;
78
79 /* First part of the processing with loop unrolling. Compute 4 outputs at a time.
80 ** a second loop below computes the remaining 1 to 3 samples. */
81 while (blkCnt > 0U)
82 {
83 /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
84 /* Compute sum of the squares and then store the result in a temporary variable, sum */
85 in = *pSrc++;
86 sum += in * in;
87 in = *pSrc++;
88 sum += in * in;
89 in = *pSrc++;
90 sum += in * in;
91 in = *pSrc++;
92 sum += in * in;
93
94 /* Decrement the loop counter */
95 blkCnt--;
96 }
97
98 /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
99 ** No loop unrolling is used. */
100 blkCnt = blockSize % 0x4U;
101
102#else
103 /* Run the below code for Cortex-M0 */
104
105 /* Loop over blockSize number of values */
106 blkCnt = blockSize;
107
108#endif /* #if defined (ARM_MATH_DSP) */
109
110 while (blkCnt > 0U)
111 {
112 /* C = A[0] * A[0] + A[1] * A[1] + A[2] * A[2] + ... + A[blockSize-1] * A[blockSize-1] */
113 /* Compute sum of the squares and then store the results in a temporary variable, sum */
114 in = *pSrc++;
115 sum += in * in;
116
117 /* Decrement the loop counter */
118 blkCnt--;
119 }
120
121 /* Compute Rms and store the result in the destination */
122 arm_sqrt_f32(sum / (float32_t) blockSize, pResult);
123}
124
125/**
126 * @} end of RMS group
127 */
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