testprog4.c

Test del Filtro Fir LMS con la suma de tres señales sinusoidales en pi/32 12pi/32 y 20pi/32 en la entrada "x", y una senhal en pi/32 y 12pi/32 en la señal "d".

Autor

Fernando Pujaico Rivera

Fecha

28-12-2011
Ademas la señal de entrada "x" tiene una constante igual 1. La frecuencia de muestro es 2*pi. El filtro LMS FIR es evaluado con un vector de entrada.
Test de un filtro FIR.

Señal de entrada d[n].

Señal de entrada x[n].

Señal de salida e[n].

Señal de salida y[n].

FFT de la respuesta al impulso final h[i].

/*
 * testprog4.c
 * 
 * Copyright 2011 Fernando Pujaico Rivera <fernando.pujaico.rivera@gmail.com>
 * 
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 * 
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 * 
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
 * MA 02110-1301, USA.
 * 
 */


#include <config.h>
#include <stdlib.h>
#include <pds/pdsdf.h>
#include <pds/pdsvector.h>
#include "extras.h"
#include <math.h>

int main(int argc, char** argv)
{
        PdsFirLms *FirLms=NULL;

        PdsVector *D=NULL;
        PdsVector *X=NULL;
        PdsVector *E=NULL;
        PdsVector *Y=NULL;
        PdsDfReal d,x,y,e;
        PdsDfNatural n,N;

        PdsDfNatural M;
        PdsDfReal Mhu;

        FILE *fd=NULL;
        char DATAFILE[]="datos.txt";
        char OCTAVEFILE[]="plotinoctave.m";
        FILE *fdh=NULL;
        char HFILE[]="hdatos.txt";
        char OCTAVEHFILE[]="plothinoctave.m";
        N=2*1024;

        D=pds_vector_new(N);
        X=pds_vector_new(N);
        Y=pds_vector_new(N);
        E=pds_vector_new(N);


        M=24;           Mhu=0.01;
        FirLms=pds_fir_lms_new(Mhu,M);
        y=0;    e=0;
        for(n=0;n<N;n++)
        {
                x=1.0 + sin(M_PI*n/32.0)            + sin(12*M_PI*n/32.0) + sin(20*M_PI*n/32.0+M_PI/16.0);
                d=      sin(M_PI*n/32.0+M_PI/128.0) + sin(12*M_PI*n/32.0) ;
                
                D->V[n]=d;
                X->V[n]=x;
        }

        pds_fir_lms_evaluate_vector(FirLms,D,X,E,Y);

        fdh=fopen(HFILE,"w");
        if(fdh==NULL)   return EXIT_FAILURE;
        pds_vector_fprintf(FirLms->Fir->h,fdh);
        fclose(fdh);

        pds_fir_lms_free(FirLms);

        fd=fopen(DATAFILE,"w");
        if(fd==NULL)    return EXIT_FAILURE;
        pds_vector_fprintf(D,fd);
        pds_vector_fprintf(X,fd);
        pds_vector_fprintf(E,fd);
        pds_vector_fprintf(Y,fd);
        fclose(fd);

        pds_octave_plot_lin(OCTAVEFILE,DATAFILE);
        pds_octave_plot_lin_fft(OCTAVEHFILE,HFILE);

        pds_vector_free(D);     
        pds_vector_free(X);     
        pds_vector_free(E);     
        pds_vector_free(Y);     

        return EXIT_SUCCESS;
}