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/* ----------------------------------------------------------------------
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* Copyright (C) 2010-2012 ARM Limited. All rights reserved.
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*
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* $Date:         17. January 2013
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* $Revision:     V1.4.0
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*
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* Project:       CMSIS DSP Library
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* Title:         arm_variance_example_f32.c
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*
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* Description:   Example code demonstrating variance calculation of input sequence.
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*
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* Target Processor: Cortex-M4/Cortex-M3
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*   - Redistributions of source code must retain the above copyright
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*     notice, this list of conditions and the following disclaimer.
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*   - Redistributions in binary form must reproduce the above copyright
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*     notice, this list of conditions and the following disclaimer in
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*     the documentation and/or other materials provided with the
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*     distribution.
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*   - Neither the name of ARM LIMITED nor the names of its contributors
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*     may be used to endorse or promote products derived from this
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*     software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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* -------------------------------------------------------------------- */
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/**
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 * @ingroup groupExamples
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 */
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/**
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 * @defgroup VarianceExample Variance Example
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 *
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 * \par Description:
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 * \par
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 * Demonstrates the use of Basic Math and Support Functions to calculate the variance of an
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 * input sequence with N samples. Uniformly distributed white noise is taken as input.
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 *
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 * \par Algorithm:
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 * \par
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 * The variance of a sequence is the mean of the squared deviation of the sequence from its mean.
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 * \par
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 * This is denoted by the following equation:
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 * <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>
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 * where, <code>x[n]</code> is the input sequence, <code>N</code> is the number of input samples, and
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 * <code>x'</code> is the mean value of the input sequence, <code>x[n]</code>.
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 * \par
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 * The mean value <code>x'</code> is defined as:
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 * <pre> x' = (x[0] + x[1] + ... + x[n-1]) / N</pre>
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 *
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 * \par Block Diagram:
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 * \par
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 * \image html Variance.gif
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 *
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 *
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 * \par Variables Description:
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 * \par
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 * \li \c testInput_f32 points to the input data
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 * \li \c wire1, \c wir2, \c wire3 temporary buffers
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 * \li \c blockSize number of samples processed at a time
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 * \li \c refVarianceOut reference variance value
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 *
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 * \par CMSIS DSP Software Library Functions Used:
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 * \par
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 * - arm_dot_prod_f32()
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 * - arm_mult_f32()
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 * - arm_sub_f32()
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 * - arm_fill_f32()
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 * - arm_copy_f32()
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 *
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 * <b> Refer  </b>
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 * \link arm_variance_example_f32.c \endlink
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 *
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 */
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/** \example arm_variance_example_f32.c
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  */
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#include <math.h>
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#include "arm_math.h"
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/* ----------------------------------------------------------------------
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* Defines each of the tests performed
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* ------------------------------------------------------------------- */
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#define MAX_BLOCKSIZE   32
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#define DELTA           (0.000001f)
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/* ----------------------------------------------------------------------
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* Declare I/O buffers
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* ------------------------------------------------------------------- */
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float32_t wire1[MAX_BLOCKSIZE];
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float32_t wire2[MAX_BLOCKSIZE];
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float32_t wire3[MAX_BLOCKSIZE];
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/* ----------------------------------------------------------------------
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* Test input data for Floating point Variance example for 32-blockSize
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* Generated by the MATLAB randn() function
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* ------------------------------------------------------------------- */
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float32_t testInput_f32[32] =
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{
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  -0.432564811528221,  -1.665584378238097,   0.125332306474831,   0.287676420358549,
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  -1.146471350681464,   1.190915465642999,   1.189164201652103,  -0.037633276593318,
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   0.327292361408654,   0.174639142820925,  -0.186708577681439,   0.725790548293303,
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  -0.588316543014189,   2.183185818197101,  -0.136395883086596,   0.113931313520810,
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   1.066768211359189,   0.059281460523605,  -0.095648405483669,  -0.832349463650022,
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   0.294410816392640,  -1.336181857937804,   0.714324551818952,   1.623562064446271,
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  -0.691775701702287,   0.857996672828263,   1.254001421602532,  -1.593729576447477,
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  -1.440964431901020,   0.571147623658178,  -0.399885577715363,   0.689997375464345
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};
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/* ----------------------------------------------------------------------
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* Declare Global variables
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* ------------------------------------------------------------------- */
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uint32_t blockSize = 32;
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float32_t  refVarianceOut = 0.903941793931839;
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/* ----------------------------------------------------------------------
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* Variance calculation test
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* ------------------------------------------------------------------- */
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int32_t main(void)
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{
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  arm_status status;
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  float32_t mean, oneByBlockSize;
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  float32_t variance;
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  float32_t diff;
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  status = ARM_MATH_SUCCESS;
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  /* Calculation of mean value of input */
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  /* x' = 1/blockSize * (x(0)* 1 + x(1) * 1 + ... + x(n-1) * 1) */
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  /* Fill wire1 buffer with 1.0 value */
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  arm_fill_f32(1.0,  wire1, blockSize);
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  /* Calculate the dot product of wire1 and wire2 */
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  /* (x(0)* 1 + x(1) * 1 + ...+ x(n-1) * 1) */
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  arm_dot_prod_f32(testInput_f32, wire1, blockSize, &mean);
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  /* Calculation of 1/blockSize */
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  oneByBlockSize = 1.0 / (blockSize);
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  /* 1/blockSize * (x(0)* 1 + x(1) * 1 + ... + x(n-1) * 1)  */
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  arm_mult_f32(&mean, &oneByBlockSize, &mean, 1);
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  /* Calculation of variance value of input */
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  /* (1/blockSize) * (x(0) - x') * (x(0) - x') + (x(1) - x') * (x(1) - x') + ... + (x(n-1) - x') * (x(n-1) - x') */
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  /* Fill wire2 with mean value x' */
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  arm_fill_f32(mean,  wire2, blockSize);
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  /* wire3 contains (x-x') */
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  arm_sub_f32(testInput_f32, wire2, wire3, blockSize);
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  /* wire2 contains (x-x') */
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  arm_copy_f32(wire3, wire2, blockSize);
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  /* (x(0) - x') * (x(0) - x') + (x(1) - x') * (x(1) - x') + ... + (x(n-1) - x') * (x(n-1) - x') */
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  arm_dot_prod_f32(wire2, wire3, blockSize, &variance);
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    /* Calculation of 1/blockSize */
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  oneByBlockSize = 1.0 / (blockSize - 1);
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  /* Calculation of variance */
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  arm_mult_f32(&variance, &oneByBlockSize, &variance, 1);
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  /* absolute value of difference between ref and test */
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  diff = fabsf(refVarianceOut - variance);
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  /* Comparison of variance value with reference */
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  if (diff > DELTA)
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  {
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    status = ARM_MATH_TEST_FAILURE;
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  }
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  if ( status != ARM_MATH_SUCCESS)
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  {
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    while (1);
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  }
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  while (1);                             /* main function does not return */
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}
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 /** \endlink */