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_matrix_example_f32.c * * Description: Example code demonstrating least square fit to data * using matrix functions * * 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" #include "math_helper.h" #define SNR_THRESHOLD 90 /* -------------------------------------------------------------------------------- * Test input data(Cycles) taken from FIR Q15 module for differant cases of blockSize * and tapSize * --------------------------------------------------------------------------------- */ const float32_t B_f32[4] = { 782.0, 7577.0, 470.0, 4505.0 }; /* -------------------------------------------------------------------------------- * Formula to fit is C1 + C2 * numTaps + C3 * blockSize + C4 * numTaps * blockSize * -------------------------------------------------------------------------------- */ const float32_t A_f32[16] = { /* Const, numTaps, blockSize, numTaps*blockSize */ 1.0, 32.0, 4.0, 128.0, 1.0, 32.0, 64.0, 2048.0, 1.0, 16.0, 4.0, 64.0, 1.0, 16.0, 64.0, 1024.0, }; /* ---------------------------------------------------------------------- * Temporary buffers for storing intermediate values * ------------------------------------------------------------------- */ /* Transpose of A Buffer */ float32_t AT_f32[16]; /* (Transpose of A * A) Buffer */ float32_t ATMA_f32[16]; /* Inverse(Transpose of A * A) Buffer */ float32_t ATMAI_f32[16]; /* Test Output Buffer */ float32_t X_f32[4]; /* ---------------------------------------------------------------------- * Reference ouput buffer C1, C2, C3 and C4 taken from MATLAB * ------------------------------------------------------------------- */ const float32_t xRef_f32[4] = {73.0, 8.0, 21.25, 2.875}; float32_t snr; /* ---------------------------------------------------------------------- * Max magnitude FFT Bin test * ------------------------------------------------------------------- */ int32_t main(void) { arm_matrix_instance_f32 A; /* Matrix A Instance */ arm_matrix_instance_f32 AT; /* Matrix AT(A transpose) instance */ arm_matrix_instance_f32 ATMA; /* Matrix ATMA( AT multiply with A) instance */ arm_matrix_instance_f32 ATMAI; /* Matrix ATMAI(Inverse of ATMA) instance */ arm_matrix_instance_f32 B; /* Matrix B instance */ arm_matrix_instance_f32 X; /* Matrix X(Unknown Matrix) instance */ uint32_t srcRows, srcColumns; /* Temporary variables */ arm_status status; /* Initialise A Matrix Instance with numRows, numCols and data array(A_f32) */ srcRows = 4; srcColumns = 4; arm_mat_init_f32(&A, srcRows, srcColumns, (float32_t *)A_f32); /* Initialise Matrix Instance AT with numRows, numCols and data array(AT_f32) */ srcRows = 4; srcColumns = 4; arm_mat_init_f32(&AT, srcRows, srcColumns, AT_f32); /* calculation of A transpose */ status = arm_mat_trans_f32(&A, &AT); /* Initialise ATMA Matrix Instance with numRows, numCols and data array(ATMA_f32) */ srcRows = 4; srcColumns = 4; arm_mat_init_f32(&ATMA, srcRows, srcColumns, ATMA_f32); /* calculation of AT Multiply with A */ status = arm_mat_mult_f32(&AT, &A, &ATMA); /* Initialise ATMAI Matrix Instance with numRows, numCols and data array(ATMAI_f32) */ srcRows = 4; srcColumns = 4; arm_mat_init_f32(&ATMAI, srcRows, srcColumns, ATMAI_f32); /* calculation of Inverse((Transpose(A) * A) */ status = arm_mat_inverse_f32(&ATMA, &ATMAI); /* calculation of (Inverse((Transpose(A) * A)) * Transpose(A)) */ status = arm_mat_mult_f32(&ATMAI, &AT, &ATMA); /* Initialise B Matrix Instance with numRows, numCols and data array(B_f32) */ srcRows = 4; srcColumns = 1; arm_mat_init_f32(&B, srcRows, srcColumns, (float32_t *)B_f32); /* Initialise X Matrix Instance with numRows, numCols and data array(X_f32) */ srcRows = 4; srcColumns = 1; arm_mat_init_f32(&X, srcRows, srcColumns, X_f32); /* calculation ((Inverse((Transpose(A) * A)) * Transpose(A)) * B) */ status = arm_mat_mult_f32(&ATMA, &B, &X); /* Comparison of reference with test output */ snr = arm_snr_f32((float32_t *)xRef_f32, X_f32, 4); /*------------------------------------------------------------------------------ * Initialise status depending on SNR calculations *------------------------------------------------------------------------------*/ if( snr > SNR_THRESHOLD) { status = ARM_MATH_SUCCESS; } else { status = ARM_MATH_TEST_FAILURE; } /* ---------------------------------------------------------------------- ** Loop here if the signals fail the PASS check. ** This denotes a test failure ** ------------------------------------------------------------------- */ if( status != ARM_MATH_SUCCESS) { while(1); } while(1); /* main function does not return */ }