CMSIS-DSP  
CMSIS DSP Software Library
arm_signal_converge_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_signal_converge_example_f32.c
*
* Description: Example code demonstrating convergence of an adaptive
* filter.
*
* 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.
* -------------------------------------------------------------------- */
#include "arm_math.h"
#include "math_helper.h"
#if defined(SEMIHOSTING)
#include <stdio.h>
#endif
/* ----------------------------------------------------------------------
** Global defines for the simulation
* ------------------------------------------------------------------- */
#define TEST_LENGTH_SAMPLES 1536
#define NUMTAPS 32
#define BLOCKSIZE 32
#define DELTA_ERROR 0.00009f
#define DELTA_COEFF 0.0001f
#define MU 0.5f
#define NUMFRAMES (TEST_LENGTH_SAMPLES / BLOCKSIZE)
/* ----------------------------------------------------------------------
* Declare FIR state buffers and structure
* ------------------------------------------------------------------- */
#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
#else
#endif
/* ----------------------------------------------------------------------
* Declare LMSNorm state buffers and structure
* ------------------------------------------------------------------- */
/* ----------------------------------------------------------------------
* Function Declarations for Signal Convergence Example
* ------------------------------------------------------------------- */
/* ----------------------------------------------------------------------
* Internal functions
* ------------------------------------------------------------------- */
uint32_t blockSize);
void getinput(float32_t* input,
uint32_t fr_cnt,
uint32_t blockSize);
/* ----------------------------------------------------------------------
* External Declarations for FIR F32 module Test
* ------------------------------------------------------------------- */
extern const float32_t FIRCoeff_f32[32];
/* ----------------------------------------------------------------------
* Declare I/O buffers
* ------------------------------------------------------------------- */
/* ----------------------------------------------------------------------
* Signal converge test
* ------------------------------------------------------------------- */
int32_t main(void)
{
uint32_t i;
uint32_t index;
float32_t minValue;
/* Initialize the LMSNorm data structure */
/* Initialize the FIR data structure */
/* ----------------------------------------------------------------------
* Loop over the frames of data and execute each of the processing
* functions in the system.
* ------------------------------------------------------------------- */
for(i=0; i < NUMFRAMES; i++)
{
/* Read the input data - uniformly distributed random noise - into wire1 */
/* Execute the FIR processing function. Input wire1 and output wire2 */
/* Execute the LMS Norm processing function*/
arm_lms_norm_f32(&lmsNorm_instance, /* LMSNorm instance */
wire1, /* Input signal */
wire2, /* Reference Signal */
wire3, /* Converged Signal */
err_signal, /* Error Signal, this will become small as the signal converges */
BLOCKSIZE); /* BlockSize */
/* apply overall gain */
arm_scale_f32(wire3, 5, wire3, BLOCKSIZE); /* in-place buffer */
}
/* -------------------------------------------------------------------------------
* Test whether the error signal has reached towards 0.
* ----------------------------------------------------------------------------- */
arm_min_f32(err_signal, BLOCKSIZE, &minValue, &index);
if (minValue > DELTA_ERROR)
{
}
/* ----------------------------------------------------------------------
* Test whether the filter coefficients have converged.
* ------------------------------------------------------------------- */
arm_min_f32(lmsNormCoeff_f32, NUMTAPS, &minValue, &index);
{
#if defined (SEMIHOSTING)
printf("FAILURE\n");
#else
while (1); /* main function does not return */
#endif
}
else
{
#if defined (SEMIHOSTING)
printf("SUCCESS\n");
#else
while (1); /* main function does not return */
#endif
}
}