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comparison f103c8/Drivers/CMSIS/DSP_Lib/Source/StatisticsFunctions/arm_var_q15.c @ 2:0c59e7a7782a
Working on GPIO and RCC
author | cin |
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date | Mon, 16 Jan 2017 11:04:47 +0300 |
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1 /* ---------------------------------------------------------------------- | |
2 * Copyright (C) 2010-2014 ARM Limited. All rights reserved. | |
3 * | |
4 * $Date: 19. March 2015 | |
5 * $Revision: V.1.4.5 | |
6 * | |
7 * Project: CMSIS DSP Library | |
8 * Title: arm_var_q15.c | |
9 * | |
10 * Description: Variance of an array of Q15 type. | |
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 * @addtogroup variance | |
49 * @{ | |
50 */ | |
51 | |
52 /** | |
53 * @brief Variance of the elements of a Q15 vector. | |
54 * @param[in] *pSrc points to the input vector | |
55 * @param[in] blockSize length of the input vector | |
56 * @param[out] *pResult variance value returned here | |
57 * @return none. | |
58 * | |
59 * @details | |
60 * <b>Scaling and Overflow Behavior:</b> | |
61 * | |
62 * \par | |
63 * The function is implemented using a 64-bit internal accumulator. | |
64 * The input is represented in 1.15 format. | |
65 * Intermediate multiplication yields a 2.30 format, and this | |
66 * result is added without saturation to a 64-bit accumulator in 34.30 format. | |
67 * With 33 guard bits in the accumulator, there is no risk of overflow, and the | |
68 * full precision of the intermediate multiplication is preserved. | |
69 * Finally, the 34.30 result is truncated to 34.15 format by discarding the lower | |
70 * 15 bits, and then saturated to yield a result in 1.15 format. | |
71 * | |
72 */ | |
73 | |
74 | |
75 void arm_var_q15( | |
76 q15_t * pSrc, | |
77 uint32_t blockSize, | |
78 q15_t * pResult) | |
79 { | |
80 | |
81 q31_t sum = 0; /* Accumulator */ | |
82 q31_t meanOfSquares, squareOfMean; /* square of mean and mean of square */ | |
83 uint32_t blkCnt; /* loop counter */ | |
84 q63_t sumOfSquares = 0; /* Accumulator */ | |
85 | |
86 #ifndef ARM_MATH_CM0_FAMILY | |
87 | |
88 /* Run the below code for Cortex-M4 and Cortex-M3 */ | |
89 | |
90 q31_t in; /* input value */ | |
91 q15_t in1; /* input value */ | |
92 | |
93 if(blockSize == 1) | |
94 { | |
95 *pResult = 0; | |
96 return; | |
97 } | |
98 | |
99 /*loop Unrolling */ | |
100 blkCnt = blockSize >> 2u; | |
101 | |
102 /* First part of the processing with loop unrolling. Compute 4 outputs at a time. | |
103 ** a second loop below computes the remaining 1 to 3 samples. */ | |
104 while(blkCnt > 0u) | |
105 { | |
106 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ | |
107 /* Compute Sum of squares of the input samples | |
108 * and then store the result in a temporary variable, sum. */ | |
109 in = *__SIMD32(pSrc)++; | |
110 sum += ((in << 16) >> 16); | |
111 sum += (in >> 16); | |
112 sumOfSquares = __SMLALD(in, in, sumOfSquares); | |
113 in = *__SIMD32(pSrc)++; | |
114 sum += ((in << 16) >> 16); | |
115 sum += (in >> 16); | |
116 sumOfSquares = __SMLALD(in, in, sumOfSquares); | |
117 | |
118 /* Decrement the loop counter */ | |
119 blkCnt--; | |
120 } | |
121 | |
122 /* If the blockSize is not a multiple of 4, compute any remaining output samples here. | |
123 ** No loop unrolling is used. */ | |
124 blkCnt = blockSize % 0x4u; | |
125 | |
126 while(blkCnt > 0u) | |
127 { | |
128 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ | |
129 /* Compute Sum of squares of the input samples | |
130 * and then store the result in a temporary variable, sum. */ | |
131 in1 = *pSrc++; | |
132 sumOfSquares = __SMLALD(in1, in1, sumOfSquares); | |
133 sum += in1; | |
134 | |
135 /* Decrement the loop counter */ | |
136 blkCnt--; | |
137 } | |
138 | |
139 /* Compute Mean of squares of the input samples | |
140 * and then store the result in a temporary variable, meanOfSquares. */ | |
141 meanOfSquares = (q31_t) (sumOfSquares / (q63_t)(blockSize - 1)); | |
142 | |
143 /* Compute square of mean */ | |
144 squareOfMean = (q31_t)((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1))); | |
145 | |
146 /* mean of the squares minus the square of the mean. */ | |
147 *pResult = (meanOfSquares - squareOfMean) >> 15; | |
148 | |
149 #else | |
150 | |
151 /* Run the below code for Cortex-M0 */ | |
152 q15_t in; /* input value */ | |
153 | |
154 if(blockSize == 1) | |
155 { | |
156 *pResult = 0; | |
157 return; | |
158 } | |
159 | |
160 /* Loop over blockSize number of values */ | |
161 blkCnt = blockSize; | |
162 | |
163 while(blkCnt > 0u) | |
164 { | |
165 /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */ | |
166 /* Compute Sum of squares of the input samples | |
167 * and then store the result in a temporary variable, sumOfSquares. */ | |
168 in = *pSrc++; | |
169 sumOfSquares += (in * in); | |
170 | |
171 /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */ | |
172 /* Compute sum of all input values and then store the result in a temporary variable, sum. */ | |
173 sum += in; | |
174 | |
175 /* Decrement the loop counter */ | |
176 blkCnt--; | |
177 } | |
178 | |
179 /* Compute Mean of squares of the input samples | |
180 * and then store the result in a temporary variable, meanOfSquares. */ | |
181 meanOfSquares = (q31_t) (sumOfSquares / (q63_t)(blockSize - 1)); | |
182 | |
183 /* Compute square of mean */ | |
184 squareOfMean = (q31_t)((q63_t)sum * sum / (q63_t)(blockSize * (blockSize - 1))); | |
185 | |
186 /* mean of the squares minus the square of the mean. */ | |
187 *pResult = (meanOfSquares - squareOfMean) >> 15; | |
188 | |
189 #endif /* #ifndef ARM_MATH_CM0_FAMILY */ | |
190 | |
191 } | |
192 | |
193 /** | |
194 * @} end of variance group | |
195 */ |