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1 /* ----------------------------------------------------------------------
2 * Copyright (C) 2010-2013 ARM Limited. All rights reserved.
3 *
4 * $Date: 17. January 2013
5 * $Revision: V1.4.1
6 *
7 * Project: CMSIS DSP Library
8 * Title: arm_mean_f32.c
9 *
10 * Description: Mean value of a floating-point vector.
11 *
12 * Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
13 *
14 * Redistribution and use in source and binary forms, with or without
15 * modification, are permitted provided that the following conditions
16 * are met:
17 * - Redistributions of source code must retain the above copyright
18 * notice, this list of conditions and the following disclaimer.
19 * - Redistributions in binary form must reproduce the above copyright
20 * notice, this list of conditions and the following disclaimer in
21 * the documentation and/or other materials provided with the
22 * distribution.
23 * - Neither the name of ARM LIMITED nor the names of its contributors
24 * may be used to endorse or promote products derived from this
25 * software without specific prior written permission.
26 *
27 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
28 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
29 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
30 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
31 * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
32 * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
33 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
34 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
35 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
36 * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
37 * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
38 * POSSIBILITY OF SUCH DAMAGE.
39 * ---------------------------------------------------------------------------- */
40
41 #include "arm_math.h"
42
43 /**
44 * @ingroup groupStats
45 */
46
47 /**
48 * @defgroup mean Mean
49 *
50 * Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector.
51 * The underlying algorithm is used:
52 *
53 * <pre>
54 * Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize;
55 * </pre>
56 *
57 * There are separate functions for floating-point, Q31, Q15, and Q7 data types.
58 */
59
60 /**
61 * @addtogroup mean
62 * @{
63 */
64
65
66 /**
67 * @brief Mean value of a floating-point vector.
68 * @param[in] *pSrc points to the input vector
69 * @param[in] blockSize length of the input vector
70 * @param[out] *pResult mean value returned here
71 * @return none.
72 */
73
74
75 void arm_mean_f32(
76 float32_t * pSrc,
77 uint32_t blockSize,
78 float32_t * pResult)
79 {
80 float32_t sum = 0.0f; /* Temporary result storage */
81 uint32_t blkCnt; /* loop counter */
82
83 #ifndef ARM_MATH_CM0_FAMILY
84
85 /* Run the below code for Cortex-M4 and Cortex-M3 */
86 float32_t in1, in2, in3, in4;
87
88 /*loop Unrolling */
89 blkCnt = blockSize >> 2u;
90
91 /* First part of the processing with loop unrolling. Compute 4 outputs at a time.
92 ** a second loop below computes the remaining 1 to 3 samples. */
93 while(blkCnt > 0u)
94 {
95 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
96 in1 = *pSrc++;
97 in2 = *pSrc++;
98 in3 = *pSrc++;
99 in4 = *pSrc++;
100
101 sum += in1;
102 sum += in2;
103 sum += in3;
104 sum += in4;
105
106 /* Decrement the loop counter */
107 blkCnt--;
108 }
109
110 /* If the blockSize is not a multiple of 4, compute any remaining output samples here.
111 ** No loop unrolling is used. */
112 blkCnt = blockSize % 0x4u;
113
114 #else
115
116 /* Run the below code for Cortex-M0 */
117
118 /* Loop over blockSize number of values */
119 blkCnt = blockSize;
120
121 #endif /* #ifndef ARM_MATH_CM0_FAMILY */
122
123 while(blkCnt > 0u)
124 {
125 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
126 sum += *pSrc++;
127
128 /* Decrement the loop counter */
129 blkCnt--;
130 }
131
132 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */
133 /* Store the result to the destination */
134 *pResult = sum / (float32_t) blockSize;
135 }
136
137 /**
138 * @} end of mean group
139 */
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