/ Drivers / CMSIS / DSP / Examples / ARM / arm_variance_example / arm_variance_example_f32.c
arm_variance_example_f32.c
  1  /* ----------------------------------------------------------------------
  2  * Copyright (C) 2010-2012 ARM Limited. All rights reserved.
  3  *
  4  * $Date:         17. January 2013
  5  * $Revision:     V1.4.0
  6  *
  7  * Project:       CMSIS DSP Library
  8  * Title:         arm_variance_example_f32.c
  9  *
 10  * Description:   Example code demonstrating variance calculation of input sequence.
 11  *
 12  * Target Processor: Cortex-M4/Cortex-M3
 13  *
 14  * Redistribution and use in source and binary forms, with or without
 15  * modification, are permitted provided that the following conditions
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 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
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 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
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 29  * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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 38  * POSSIBILITY OF SUCH DAMAGE.
 39  * -------------------------------------------------------------------- */
 40  
 41  /**
 42   * @ingroup groupExamples
 43   */
 44  
 45  /**
 46   * @defgroup VarianceExample Variance Example
 47   *
 48   * \par Description:
 49   * \par
 50   * Demonstrates the use of Basic Math and Support Functions to calculate the variance of an
 51   * input sequence with N samples. Uniformly distributed white noise is taken as input.
 52   *
 53   * \par Algorithm:
 54   * \par
 55   * The variance of a sequence is the mean of the squared deviation of the sequence from its mean.
 56   * \par
 57   * This is denoted by the following equation:
 58   * <pre> variance = ((x[0] - x') * (x[0] - x') + (x[1] - x') * (x[1] - x') + ... + * (x[n-1] - x') * (x[n-1] - x')) / (N-1)</pre>
 59   * where, <code>x[n]</code> is the input sequence, <code>N</code> is the number of input samples, and
 60   * <code>x'</code> is the mean value of the input sequence, <code>x[n]</code>.
 61   * \par
 62   * The mean value <code>x'</code> is defined as:
 63   * <pre> x' = (x[0] + x[1] + ... + x[n-1]) / N</pre>
 64   *
 65   * \par Block Diagram:
 66   * \par
 67   * \image html Variance.gif
 68   *
 69   *
 70   * \par Variables Description:
 71   * \par
 72   * \li \c testInput_f32 points to the input data
 73   * \li \c wire1, \c wir2, \c wire3 temporary buffers
 74   * \li \c blockSize number of samples processed at a time
 75   * \li \c refVarianceOut reference variance value
 76   *
 77   * \par CMSIS DSP Software Library Functions Used:
 78   * \par
 79   * - arm_dot_prod_f32()
 80   * - arm_mult_f32()
 81   * - arm_sub_f32()
 82   * - arm_fill_f32()
 83   * - arm_copy_f32()
 84   *
 85   * <b> Refer  </b>
 86   * \link arm_variance_example_f32.c \endlink
 87   *
 88   */
 89  
 90  
 91  /** \example arm_variance_example_f32.c
 92    */
 93  
 94  #include <math.h>
 95  #include "arm_math.h"
 96  
 97  #if defined(SEMIHOSTING)
 98  #include <stdio.h>
 99  #endif
100  
101  /* ----------------------------------------------------------------------
102  * Defines each of the tests performed
103  * ------------------------------------------------------------------- */
104  #define MAX_BLOCKSIZE   32
105  #define DELTA           (0.000001f)
106  
107  
108  /* ----------------------------------------------------------------------
109  * Declare I/O buffers
110  * ------------------------------------------------------------------- */
111  float32_t wire1[MAX_BLOCKSIZE];
112  float32_t wire2[MAX_BLOCKSIZE];
113  float32_t wire3[MAX_BLOCKSIZE];
114  
115  /* ----------------------------------------------------------------------
116  * Test input data for Floating point Variance example for 32-blockSize
117  * Generated by the MATLAB randn() function
118  * ------------------------------------------------------------------- */
119  
120  float32_t testInput_f32[32] =
121  {
122    -0.432564811528221,  -1.665584378238097,   0.125332306474831,   0.287676420358549,
123    -1.146471350681464,   1.190915465642999,   1.189164201652103,  -0.037633276593318,
124     0.327292361408654,   0.174639142820925,  -0.186708577681439,   0.725790548293303,
125    -0.588316543014189,   2.183185818197101,  -0.136395883086596,   0.113931313520810,
126     1.066768211359189,   0.059281460523605,  -0.095648405483669,  -0.832349463650022,
127     0.294410816392640,  -1.336181857937804,   0.714324551818952,   1.623562064446271,
128    -0.691775701702287,   0.857996672828263,   1.254001421602532,  -1.593729576447477,
129    -1.440964431901020,   0.571147623658178,  -0.399885577715363,   0.689997375464345
130  
131  };
132  
133  /* ----------------------------------------------------------------------
134  * Declare Global variables
135  * ------------------------------------------------------------------- */
136  uint32_t blockSize = 32;
137  float32_t  refVarianceOut = 0.903941793931839;
138  
139  /* ----------------------------------------------------------------------
140  * Variance calculation test
141  * ------------------------------------------------------------------- */
142  
143  int32_t main(void)
144  {
145    arm_status status;
146    float32_t mean, oneByBlockSize;
147    float32_t variance;
148    float32_t diff;
149  
150    status = ARM_MATH_SUCCESS;
151  
152  #if defined(SEMIHOSTING)
153    printf("START\n");
154  #endif
155  
156   
157    /* Calculation of mean value of input */
158  
159    /* x' = 1/blockSize * (x(0)* 1 + x(1) * 1 + ... + x(n-1) * 1) */
160  
161    /* Fill wire1 buffer with 1.0 value */
162    arm_fill_f32(1.0,  wire1, blockSize);
163  
164    /* Calculate the dot product of wire1 and wire2 */
165    /* (x(0)* 1 + x(1) * 1 + ...+ x(n-1) * 1) */
166    arm_dot_prod_f32(testInput_f32, wire1, blockSize, &mean);
167  
168    /* Calculation of 1/blockSize */
169    oneByBlockSize = 1.0 / (blockSize);
170  
171    /* 1/blockSize * (x(0)* 1 + x(1) * 1 + ... + x(n-1) * 1)  */
172    arm_mult_f32(&mean, &oneByBlockSize, &mean, 1);
173  
174  
175    /* Calculation of variance value of input */
176  
177    /* (1/blockSize) * (x(0) - x') * (x(0) - x') + (x(1) - x') * (x(1) - x') + ... + (x(n-1) - x') * (x(n-1) - x') */
178  
179    /* Fill wire2 with mean value x' */
180    arm_fill_f32(mean,  wire2, blockSize);
181  
182    /* wire3 contains (x-x') */
183    arm_sub_f32(testInput_f32, wire2, wire3, blockSize);
184  
185    /* wire2 contains (x-x') */
186    arm_copy_f32(wire3, wire2, blockSize);
187  
188    /* (x(0) - x') * (x(0) - x') + (x(1) - x') * (x(1) - x') + ... + (x(n-1) - x') * (x(n-1) - x') */
189    arm_dot_prod_f32(wire2, wire3, blockSize, &variance);
190  
191      /* Calculation of 1/blockSize */
192    oneByBlockSize = 1.0 / (blockSize - 1);
193  
194    /* Calculation of variance */
195    arm_mult_f32(&variance, &oneByBlockSize, &variance, 1);
196  
197    /* absolute value of difference between ref and test */
198    diff = fabsf(refVarianceOut - variance);
199  
200    /* Comparison of variance value with reference */
201    status = (diff > DELTA) ? ARM_MATH_TEST_FAILURE : ARM_MATH_SUCCESS;
202  
203    if (status != ARM_MATH_SUCCESS)
204    {
205  #if defined (SEMIHOSTING)
206      printf("FAILURE\n");
207  #else
208      while (1);                             /* main function does not return */
209  #endif
210    }
211    else
212    {
213  #if defined (SEMIHOSTING)
214      printf("SUCCESS\n");
215  #else
216      while (1);                             /* main function does not return */
217  #endif
218    }
219  
220  }
221  
222   /** \endlink */
223  
224