DSP_Lib/Examples/arm_class_marks_example/ARM/arm_class_marks_example_f32.c

/* ----------------------------------------------------------------------
* Copyright (C) 2010-2012 ARM Limited. All rights reserved.
*
* $Date:         17. January 2013
* $Revision:     V1.4.0
*
* Project:       CMSIS DSP Library
* Title:         arm_class_marks_example_f32.c
*
* Description:   Example code to calculate Minimum, Maximum
*                Mean, std and variance of marks obtained in a class
*
* Target Processor: Cortex-M4/Cortex-M3
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
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*     notice, this list of conditions and the following disclaimer.
*   - Redistributions in binary form must reproduce the above copyright
*     notice, this list of conditions and the following disclaimer in
*     the documentation and/or other materials provided with the
*     distribution.
*   - Neither the name of ARM LIMITED nor the names of its contributors
*     may be used to endorse or promote products derived from this
*     software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* -------------------------------------------------------------------- */

/**
 * @ingroup groupExamples
 */

/**
 * @defgroup ClassMarks Class Marks Example
 *
 * \par Description:
 * \par
 * Demonstrates the use the Maximum, Minimum, Mean, Standard Deviation, Variance
 * and Matrix functions to calculate statistical values of marks obtained in a class.
 *
 * \note This example also demonstrates the usage of static initialization.
 *
 * \par Variables Description:
 * \par
 * \li \c testMarks_f32 points to the marks scored by 20 students in 4 subjects
 * \li \c max_marks     Maximum of all marks
 * \li \c min_marks     Minimum of all marks
 * \li \c mean          Mean of all marks
 * \li \c var           Variance of the marks
 * \li \c std           Standard deviation of the marks
 * \li \c numStudents   Total number of students in the class
 *
 * \par CMSIS DSP Software Library Functions Used:
 * \par
 * - arm_mat_init_f32()
 * - arm_mat_mult_f32()
 * - arm_max_f32()
 * - arm_min_f32()
 * - arm_mean_f32()
 * - arm_std_f32()
 * - arm_var_f32()
 *
 * <b> Refer  </b>
 * \link arm_class_marks_example_f32.c \endlink
 *
 */


/** \example arm_class_marks_example_f32.c
  */
#include "arm_math.h"

#define USE_STATIC_INIT

 /* ----------------------------------------------------------------------
** Global defines
** ------------------------------------------------------------------- */

#define TEST_LENGTH_SAMPLES   (20*4)

/* ----------------------------------------------------------------------
** List of Marks scored by 20 students for 4 subjects
** ------------------------------------------------------------------- */
const float32_t testMarks_f32[TEST_LENGTH_SAMPLES] =
{
  42.000000,  37.000000,  81.000000,  28.000000,
  83.000000,  72.000000,  36.000000,  38.000000,
  32.000000,  51.000000,  63.000000,  64.000000,
  97.000000,  82.000000,  95.000000,  90.000000,
  66.000000,  51.000000,  54.000000,  42.000000,
  67.000000,  56.000000,  45.000000,  57.000000,
  67.000000,  69.000000,  35.000000,  52.000000,
  29.000000,  81.000000,  58.000000,  47.000000,
  38.000000,  76.000000, 100.000000,  29.000000,
  33.000000,  47.000000,  29.000000,  50.000000,
  34.000000,  41.000000,  61.000000,  46.000000,
  52.000000,  50.000000,  48.000000,  36.000000,
  47.000000,  55.000000,  44.000000,  40.000000,
 100.000000,  94.000000,  84.000000,  37.000000,
  32.000000,  71.000000,  47.000000,  77.000000,
  31.000000,  50.000000,  49.000000,  35.000000,
  63.000000,  67.000000,  40.000000,  31.000000,
  29.000000,  68.000000,  61.000000,  38.000000,
  31.000000,  28.000000,  28.000000,  76.000000,
  55.000000,  33.000000,  29.000000,  39.000000
};


/* ----------------------------------------------------------------------
* Number of subjects X 1
* ------------------------------------------------------------------- */
const float32_t testUnity_f32[4] =
{
  1.000,  1.000,   1.000,  1.000
};


/* ----------------------------------------------------------------------
** f32 Output buffer
** ------------------------------------------------------------------- */
static float32_t testOutput[TEST_LENGTH_SAMPLES];


/* ------------------------------------------------------------------
* Global defines
*------------------------------------------------------------------- */
#define   NUMSTUDENTS  20
#define     NUMSUBJECTS  4

/* ------------------------------------------------------------------
* Global variables
*------------------------------------------------------------------- */

 uint32_t    numStudents = 20;
 uint32_t    numSubjects = 4;
float32_t    max_marks, min_marks, mean, std, var;
 uint32_t    student_num;

/* ----------------------------------------------------------------------------------
* Main f32 test function.  It returns maximum marks secured and student number
* ------------------------------------------------------------------------------- */

int32_t main()
{

#ifndef  USE_STATIC_INIT

  arm_matrix_instance_f32 srcA;
  arm_matrix_instance_f32 srcB;
  arm_matrix_instance_f32 dstC;

  /* Input and output matrices initializations */
  arm_mat_init_f32(&srcA, numStudents, numSubjects, (float32_t *)testMarks_f32);
  arm_mat_init_f32(&srcB, numSubjects, 1, (float32_t *)testUnity_f32);
  arm_mat_init_f32(&dstC, numStudents, 1, testOutput);

#else

  /* Static Initializations of Input and output matrix sizes and array */
  arm_matrix_instance_f32 srcA = {NUMSTUDENTS, NUMSUBJECTS, (float32_t *)testMarks_f32};
  arm_matrix_instance_f32 srcB = {NUMSUBJECTS, 1, (float32_t *)testUnity_f32};
  arm_matrix_instance_f32 dstC = {NUMSTUDENTS, 1, testOutput};

#endif


  /* ----------------------------------------------------------------------
  *Call the Matrix multiplication process function
  * ------------------------------------------------------------------- */
  arm_mat_mult_f32(&srcA, &srcB, &dstC);

  /* ----------------------------------------------------------------------
  ** Call the Max function to calculate max marks among numStudents
  ** ------------------------------------------------------------------- */
  arm_max_f32(testOutput, numStudents, &max_marks, &student_num);

  /* ----------------------------------------------------------------------
  ** Call the Min function to calculate min marks among numStudents
  ** ------------------------------------------------------------------- */
  arm_min_f32(testOutput, numStudents, &min_marks, &student_num);

  /* ----------------------------------------------------------------------
  ** Call the Mean function to calculate mean
  ** ------------------------------------------------------------------- */
  arm_mean_f32(testOutput, numStudents, &mean);

  /* ----------------------------------------------------------------------
  ** Call the std function to calculate standard deviation
  ** ------------------------------------------------------------------- */
  arm_std_f32(testOutput, numStudents, &std);

  /* ----------------------------------------------------------------------
  ** Call the var function to calculate variance
  ** ------------------------------------------------------------------- */
  arm_var_f32(testOutput, numStudents, &var);

  while(1);                             /* main function does not return */
}