From 76177aa280494bb36d7a0bcbda1078d4db717020 Mon Sep 17 00:00:00 2001 From: Ali Labbene Date: Mon, 9 Dec 2019 11:25:19 +0100 Subject: Official ARM version: v4.5 --- .../html/arm_matrix_example_f32_8c-example.html | 309 +++++++++++++++++++++ 1 file changed, 309 insertions(+) create mode 100644 Documentation/DSP/html/arm_matrix_example_f32_8c-example.html (limited to 'Documentation/DSP/html/arm_matrix_example_f32_8c-example.html') diff --git a/Documentation/DSP/html/arm_matrix_example_f32_8c-example.html b/Documentation/DSP/html/arm_matrix_example_f32_8c-example.html new file mode 100644 index 0000000..18b8b05 --- /dev/null +++ b/Documentation/DSP/html/arm_matrix_example_f32_8c-example.html @@ -0,0 +1,309 @@ + + + + + +arm_matrix_example_f32.c +CMSIS-DSP: arm_matrix_example_f32.c + + + + + + + + + + + + + + + +
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CMSIS-DSP +  Version 1.4.7 +
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CMSIS DSP Software Library
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arm_matrix_example_f32.c
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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_matrix_example_f32.c
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*
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* Description: Example code demonstrating least square fit to data
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* using matrix functions
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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
+
* modification, are permitted provided that the following conditions
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* 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
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* 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
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+
* 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;
+
* 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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#include "arm_math.h"
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#include "math_helper.h"
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#define SNR_THRESHOLD 90
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/* --------------------------------------------------------------------------------
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* Test input data(Cycles) taken from FIR Q15 module for differant cases of blockSize
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* and tapSize
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* --------------------------------------------------------------------------------- */
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const float32_t B_f32[4] =
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{
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782.0, 7577.0, 470.0, 4505.0
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};
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/* --------------------------------------------------------------------------------
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* Formula to fit is C1 + C2 * numTaps + C3 * blockSize + C4 * numTaps * blockSize
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* -------------------------------------------------------------------------------- */
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const float32_t A_f32[16] =
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{
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/* Const, numTaps, blockSize, numTaps*blockSize */
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1.0, 32.0, 4.0, 128.0,
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1.0, 32.0, 64.0, 2048.0,
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1.0, 16.0, 4.0, 64.0,
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1.0, 16.0, 64.0, 1024.0,
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};
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/* ----------------------------------------------------------------------
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* Temporary buffers for storing intermediate values
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* ------------------------------------------------------------------- */
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/* Transpose of A Buffer */
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float32_t AT_f32[16];
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/* (Transpose of A * A) Buffer */
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float32_t ATMA_f32[16];
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/* Inverse(Transpose of A * A) Buffer */
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float32_t ATMAI_f32[16];
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/* Test Output Buffer */
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float32_t X_f32[4];
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/* ----------------------------------------------------------------------
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* Reference ouput buffer C1, C2, C3 and C4 taken from MATLAB
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* ------------------------------------------------------------------- */
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const float32_t xRef_f32[4] = {73.0, 8.0, 21.25, 2.875};
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float32_t snr;
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+
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/* ----------------------------------------------------------------------
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* Max magnitude FFT Bin test
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* ------------------------------------------------------------------- */
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int32_t main(void)
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{
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arm_matrix_instance_f32 A; /* Matrix A Instance */
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arm_matrix_instance_f32 AT; /* Matrix AT(A transpose) instance */
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arm_matrix_instance_f32 ATMA; /* Matrix ATMA( AT multiply with A) instance */
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arm_matrix_instance_f32 ATMAI; /* Matrix ATMAI(Inverse of ATMA) instance */
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arm_matrix_instance_f32 B; /* Matrix B instance */
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arm_matrix_instance_f32 X; /* Matrix X(Unknown Matrix) instance */
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uint32_t srcRows, srcColumns; /* Temporary variables */
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arm_status status;
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/* Initialise A Matrix Instance with numRows, numCols and data array(A_f32) */
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srcRows = 4;
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srcColumns = 4;
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arm_mat_init_f32(&A, srcRows, srcColumns, (float32_t *)A_f32);
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/* Initialise Matrix Instance AT with numRows, numCols and data array(AT_f32) */
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srcRows = 4;
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srcColumns = 4;
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arm_mat_init_f32(&AT, srcRows, srcColumns, AT_f32);
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/* calculation of A transpose */
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status = arm_mat_trans_f32(&A, &AT);
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/* Initialise ATMA Matrix Instance with numRows, numCols and data array(ATMA_f32) */
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srcRows = 4;
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srcColumns = 4;
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arm_mat_init_f32(&ATMA, srcRows, srcColumns, ATMA_f32);
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/* calculation of AT Multiply with A */
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status = arm_mat_mult_f32(&AT, &A, &ATMA);
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/* Initialise ATMAI Matrix Instance with numRows, numCols and data array(ATMAI_f32) */
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srcRows = 4;
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srcColumns = 4;
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arm_mat_init_f32(&ATMAI, srcRows, srcColumns, ATMAI_f32);
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/* calculation of Inverse((Transpose(A) * A) */
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status = arm_mat_inverse_f32(&ATMA, &ATMAI);
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/* calculation of (Inverse((Transpose(A) * A)) * Transpose(A)) */
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status = arm_mat_mult_f32(&ATMAI, &AT, &ATMA);
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/* Initialise B Matrix Instance with numRows, numCols and data array(B_f32) */
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srcRows = 4;
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srcColumns = 1;
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arm_mat_init_f32(&B, srcRows, srcColumns, (float32_t *)B_f32);
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/* Initialise X Matrix Instance with numRows, numCols and data array(X_f32) */
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srcRows = 4;
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srcColumns = 1;
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arm_mat_init_f32(&X, srcRows, srcColumns, X_f32);
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/* calculation ((Inverse((Transpose(A) * A)) * Transpose(A)) * B) */
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status = arm_mat_mult_f32(&ATMA, &B, &X);
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/* Comparison of reference with test output */
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snr = arm_snr_f32((float32_t *)xRef_f32, X_f32, 4);
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/*------------------------------------------------------------------------------
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* Initialise status depending on SNR calculations
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*------------------------------------------------------------------------------*/
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if( snr > SNR_THRESHOLD)
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{
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status = ARM_MATH_SUCCESS;
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}
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else
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{
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status = ARM_MATH_TEST_FAILURE;
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}
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/* ----------------------------------------------------------------------
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** Loop here if the signals fail the PASS check.
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** This denotes a 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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+
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+ + + + -- cgit