CMSIS-DSP
Verison 1.1.0
CMSIS DSP Software Library
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/* ---------------------------------------------------------------------- * Copyright (C) 2010 ARM Limited. All rights reserved. * * $Date: 29. November 2010 * $Revision: V1.0.3 * * 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 * * Version 1.0.3 2010/11/29 * Re-organized the CMSIS folders and updated documentation. * * Version 1.0.1 2010/10/05 KK * Production release and review comments incorporated. * * Version 1.0.0 2010/09/20 KK * Production release and review comments incorporated. * ------------------------------------------------------------------- */ #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 */ }