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-/* ----------------------------------------------------------------------
-* 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
-* are met:
-* - Redistributions of source code must retain the above copyright
-* 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
-* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
-* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-* POSSIBILITY OF SUCH DAMAGE.
-* -------------------------------------------------------------------- */
-
-/**
- * @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 */
-}