/* Modnumlib Scicos interfacing function * Copyright (C) 2009-2011 Alan Layec * * This library 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 library 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 library; if not, write to the * Free Software Foundation, Inc., 59 Temple Place - Suite 330, * Boston, MA 02111-1307, USA. */ /* corrblk Scicos discrete correlation block * Type 4 simulation function ver 1.0 - scicoslab 4.3 * 1er Juin 2009 - INRIA - Author : A.Layec */ /* REVISION HISTORY : * $Log$ */ #include <scicos/scicos_block4.h> #include "modnum_lib.h" /* work struct for that block */ typedef struct { SCSREAL_COP *mean_1; SCSREAL_COP *mean_2; } wrk_struct ; /* Cette fonction réalise la corrélation discrète de 2 vecteurs. * * Entrées régulières : u_1[0..mu*nu-1] : vecteur 1 d'entrée de taille nu*mu * Entrées régulières : u_2[0..mu*nu-1] : vecteur 2 d'entrée de taille nu*mu * sorties régulières : y[0..mu*lag-1] : vecteur de sortie de taille mu*lag * * paramètres entiers : typ : type de la correlation. * si typ=1 alors les moyennes des vecteurs * d'entrée sont automatiquement calculées */ /*prototype*/ void corrblk(scicos_block *block,int flag) { /*déclaration*/ SCSREAL_COP *y; SCSREAL_COP *u_1,*u_2; int nu,mu; int lag; int *typ; int i; /* the struct ptr of that block */ wrk_struct *ptr; /*récupération de l'adresse des ports réguliers*/ u_1 = GetRealInPortPtrs(block,1); u_2 = GetRealInPortPtrs(block,2); y = GetRealOutPortPtrs(block,1); /*récupération de la taille des ports réguliers*/ nu = GetInPortRows(block,1); mu = GetInPortCols(block,1); lag = GetOutPortRows(block,1); /*récupération des paramtères*/ typ = GetIparPtrs(block); /*Le flag 4 initialise*/ if(flag==4) { if((*(block->work)=(wrk_struct*) scicos_malloc(sizeof(wrk_struct)))==NULL) { set_block_error(-16); return; } ptr = *(block->work); ptr->mean_1 = NULL; ptr->mean_2 = NULL; if((ptr->mean_1=(SCSREAL_COP *) \ scicos_malloc(mu*sizeof(SCSREAL_COP)))==NULL) { set_block_error(-16); scicos_free(ptr); *(block->work) = NULL; return; } if((ptr->mean_2=(SCSREAL_COP *) \ scicos_malloc(mu*sizeof(SCSREAL_COP)))==NULL) { set_block_error(-16); scicos_free(ptr); *(block->work) = NULL; return; } /* initialisation des moyennes */ for(i=0;i<mu;i++) { ptr->mean_1[i]=0.; ptr->mean_2[i]=0.; } } /*Le flag 1 calcule y*/ else if(flag==1) { /* récupération du ptr du work */ ptr = *(block->work); /* appel corr_c */ corr_c(&nu,&mu,typ,&lag,ptr->mean_1,ptr->mean_2,u_1,u_2,y); } /*Le flag 5 termine*/ else if(flag==5) { /* récupération du ptr du work */ ptr = *(block->work); scicos_free(ptr->mean_1); scicos_free(ptr->mean_2); scicos_free(ptr); } }