kopia lustrzana https://github.com/Dsplib/libdspl-2.0
119 wiersze
2.6 KiB
C
119 wiersze
2.6 KiB
C
/*
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* Copyright (c) 2015-2019 Sergey Bakhurin
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* Digital Signal Processing Library [http://dsplib.org]
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*
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* This file is part of libdspl-2.0.
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*
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* is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Lesser General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* DSPL is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public License
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* along with Foobar. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <stdlib.h>
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#include <math.h>
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#include <time.h>
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#include "dspl.h"
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#include "dspl_internal.h"
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/******************************************************************************
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Uniform random numbers generator
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*******************************************************************************/
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int DSPL_API randu(double* x, int n)
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{
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int k,m;
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unsigned int x1[4], x2[4], y;
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if(!x)
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return ERROR_PTR;
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if(n<1)
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return ERROR_SIZE;
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x1[1] = rand();
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x2[1] = rand();
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x1[2] = rand();
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x2[2] = rand();
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x1[3] = rand();
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x2[3] = rand();
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for(k = 0; k<n; k++)
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{
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x1[0] = (63308 * x1[2] - 183326*x1[3]) % DSPL_RAND_MOD_X1;
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x2[0] = (86098 * x2[1] - 539608*x2[3]) % DSPL_RAND_MOD_X2;
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y = (x1[0] - x2[0]) % DSPL_RAND_MOD_X1;
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for(m = 3; m > 0; m--)
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{
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x1[m] = x1[m-1];
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x2[m] = x2[m-1];
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}
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x[k] = (double)y/DSPL_RAND_MOD_X1;
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}
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return RES_OK;
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}
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/*******************************************************************************
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Gaussian random numbers generator
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*******************************************************************************/
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int DSPL_API randn(double* x, int n, double mu, double sigma)
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{
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int k, m;
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double x1[128], x2[128];
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int res;
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if(!x)
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return ERROR_PTR;
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if(n<1)
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return ERROR_SIZE;
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if(sigma < 0.0)
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return ERROR_RAND_SIGMA;
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k=0;
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while(k < n)
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{
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res = randu(x1, 128);
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if(res != RES_OK)
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goto exit_label;
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res = randu(x2, 128);
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if(res != RES_OK)
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goto exit_label;
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m = 0 ;
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while(k<n && m < 128)
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{
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x[k] = sqrt(-2.0*log(x1[m]))*cos(M_2PI*x2[m])*sigma + mu;
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k++;
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m++;
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if(k<n && m < 128)
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{
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x[k] = sqrt(-2.0*log(x1[m]))*sin(M_2PI*x2[m])*sigma + mu;
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k++;
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m++;
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}
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}
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}
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res = RES_OK;
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exit_label:
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return res;
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}
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