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	bad5537e2c
	
	
	
		
			
			Otherwise doxygen complains about ambiguous filenames when files exist under the same name in different subdirectories. Originally committed as revision 16912 to svn://svn.ffmpeg.org/ffmpeg/trunk
		
			
				
	
	
		
			148 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			148 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
| /*
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|  * linear least squares model
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|  *
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|  * Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
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|  *
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|  * This file is part of FFmpeg.
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|  *
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|  * FFmpeg is free software; you can redistribute it and/or
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|  * modify it under the terms of the GNU Lesser General Public
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|  * License as published by the Free Software Foundation; either
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|  * version 2.1 of the License, or (at your option) any later version.
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|  *
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|  * FFmpeg 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 GNU
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|  * Lesser 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
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|  * License along with FFmpeg; if not, write to the Free Software
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|  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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|  */
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| 
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| /**
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|  * @file libavutil/lls.c
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|  * linear least squares model
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|  */
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| 
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| #include <math.h>
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| #include <string.h>
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| 
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| #include "lls.h"
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| 
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| void av_init_lls(LLSModel *m, int indep_count){
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|     memset(m, 0, sizeof(LLSModel));
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| 
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|     m->indep_count= indep_count;
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| }
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| 
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| void av_update_lls(LLSModel *m, double *var, double decay){
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|     int i,j;
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| 
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|     for(i=0; i<=m->indep_count; i++){
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|         for(j=i; j<=m->indep_count; j++){
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|             m->covariance[i][j] *= decay;
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|             m->covariance[i][j] += var[i]*var[j];
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|         }
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|     }
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| }
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| 
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| void av_solve_lls(LLSModel *m, double threshold, int min_order){
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|     int i,j,k;
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|     double (*factor)[MAX_VARS+1]= (void*)&m->covariance[1][0];
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|     double (*covar )[MAX_VARS+1]= (void*)&m->covariance[1][1];
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|     double  *covar_y            =  m->covariance[0];
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|     int count= m->indep_count;
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| 
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|     for(i=0; i<count; i++){
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|         for(j=i; j<count; j++){
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|             double sum= covar[i][j];
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| 
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|             for(k=i-1; k>=0; k--)
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|                 sum -= factor[i][k]*factor[j][k];
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| 
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|             if(i==j){
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|                 if(sum < threshold)
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|                     sum= 1.0;
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|                 factor[i][i]= sqrt(sum);
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|             }else
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|                 factor[j][i]= sum / factor[i][i];
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|         }
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|     }
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|     for(i=0; i<count; i++){
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|         double sum= covar_y[i+1];
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|         for(k=i-1; k>=0; k--)
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|             sum -= factor[i][k]*m->coeff[0][k];
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|         m->coeff[0][i]= sum / factor[i][i];
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|     }
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| 
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|     for(j=count-1; j>=min_order; j--){
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|         for(i=j; i>=0; i--){
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|             double sum= m->coeff[0][i];
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|             for(k=i+1; k<=j; k++)
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|                 sum -= factor[k][i]*m->coeff[j][k];
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|             m->coeff[j][i]= sum / factor[i][i];
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|         }
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| 
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|         m->variance[j]= covar_y[0];
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|         for(i=0; i<=j; i++){
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|             double sum= m->coeff[j][i]*covar[i][i] - 2*covar_y[i+1];
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|             for(k=0; k<i; k++)
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|                 sum += 2*m->coeff[j][k]*covar[k][i];
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|             m->variance[j] += m->coeff[j][i]*sum;
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|         }
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|     }
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| }
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| 
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| double av_evaluate_lls(LLSModel *m, double *param, int order){
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|     int i;
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|     double out= 0;
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| 
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|     for(i=0; i<=order; i++)
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|         out+= param[i]*m->coeff[order][i];
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| 
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|     return out;
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| }
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| 
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| #ifdef TEST
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| 
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| #include <stdlib.h>
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| #include <stdio.h>
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| 
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| int main(void){
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|     LLSModel m;
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|     int i, order;
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| 
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|     av_init_lls(&m, 3);
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| 
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|     for(i=0; i<100; i++){
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|         double var[4];
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|         double eval;
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| #if 0
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|         var[1] = rand() / (double)RAND_MAX;
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|         var[2] = rand() / (double)RAND_MAX;
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|         var[3] = rand() / (double)RAND_MAX;
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| 
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|         var[2]= var[1] + var[3]/2;
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| 
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|         var[0] = var[1] + var[2] + var[3] +  var[1]*var[2]/100;
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| #else
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|         var[0] = (rand() / (double)RAND_MAX - 0.5)*2;
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|         var[1] = var[0] + rand() / (double)RAND_MAX - 0.5;
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|         var[2] = var[1] + rand() / (double)RAND_MAX - 0.5;
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|         var[3] = var[2] + rand() / (double)RAND_MAX - 0.5;
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| #endif
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|         av_update_lls(&m, var, 0.99);
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|         av_solve_lls(&m, 0.001, 0);
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|         for(order=0; order<3; order++){
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|             eval= av_evaluate_lls(&m, var+1, order);
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|             printf("real:%f order:%d pred:%f var:%f coeffs:%f %f %f\n",
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|                 var[0], order, eval, sqrt(m.variance[order] / (i+1)),
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|                 m.coeff[order][0], m.coeff[order][1], m.coeff[order][2]);
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|         }
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|     }
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|     return 0;
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| }
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| 
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| #endif
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