if(c->c->lengthlist[j]>0){
float localmin=-1.;
for(k=0;k<c->c->entries;k++){
- if(c->c->lengthlist[k]>0){
- float this=_dist(c->c->dim,_now(c,j),_now(c,k));
- if(j!=k &&
- (localmin==-1 || this<localmin))
- localmin=this;
- }
+ if(c->c->lengthlist[k]>0){
+ float this=_dist(c->c->dim,_now(c,j),_now(c,k));
+ if(j!=k &&
+ (localmin==-1 || this<localmin))
+ localmin=this;
+ }
}
if(min==-1 || localmin<min)min=localmin;
char *buffer=alloca(strlen(basename)+80);
fprintf(stderr,"Done. Processed %ld data points:\n\n",
- (long)count);
+ (long)count);
fprintf(stderr,"Global statistics:******************\n\n");
fprintf(stderr,"\taverage bits per sample: %g\n\n",bits/count);
fprintf(stderr,"\tmean sample amplitude: %g\n",
- meanamplitude_acc/count);
+ meanamplitude_acc/count);
fprintf(stderr,"\tmean squared sample amplitude: %g\n\n",
- sqrt(meanamplitudesq_acc/count));
+ sqrt(meanamplitudesq_acc/count));
fprintf(stderr,"\tmean code error: %g\n",
- meanerror_acc/count);
+ meanerror_acc/count);
fprintf(stderr,"\tmean squared code error: %g\n\n",
- sqrt(meanerrorsq_acc/count));
+ sqrt(meanerrorsq_acc/count));
for(book=0;book<books;book++){
FILE *out;
for(i=0;i<n;i++){
for(k=0;k<dim;k++){
- fprintf(out,"%d, %g, %g\n",
- i*dim+k,(b->valuelist+i*dim)[k],
- sqrt((histogram_errorsq[book]+i*dim)[k]/histogram[book][i]));
+ fprintf(out,"%d, %g, %g\n",
+ i*dim+k,(b->valuelist+i*dim)[k],
+ sqrt((histogram_errorsq[book]+i*dim)[k]/histogram[book][i]));
}
}
fclose(out);
for(i=0;i<n;i++){
for(k=0;k<dim;k++){
- fprintf(out,"%d, %g, %g\n",
- i*dim+k,(b->valuelist+i*dim)[k],
- (histogram_error[book]+i*dim)[k]/histogram[book][i]);
+ fprintf(out,"%d, %g, %g\n",
+ i*dim+k,(b->valuelist+i*dim)[k],
+ (histogram_error[book]+i*dim)[k]/histogram[book][i]);
}
}
fclose(out);
for(i=0;i<n;i++){
for(k=0;k<dim;k++){
- fprintf(out,"%d, %g, %g, %g\n",
- i*dim+k,(b->valuelist+i*dim)[k],
- (b->valuelist+i*dim)[k]+(histogram_lo[book]+i*dim)[k],
- (b->valuelist+i*dim)[k]+(histogram_hi[book]+i*dim)[k]);
+ fprintf(out,"%d, %g, %g, %g\n",
+ i*dim+k,(b->valuelist+i*dim)[k],
+ (b->valuelist+i*dim)[k]+(histogram_lo[book]+i*dim)[k],
+ (b->valuelist+i*dim)[k]+(histogram_hi[book]+i*dim)[k]);
}
}
fclose(out);
}
float process_one(codebook *b,int book,float *a,int dim,int step,int addmul,
- float base){
+ float base){
int j,entry;
float amplitude=0.f;
histogram[book][entry]++;
bits+=vorbis_book_codelen(b,entry);
-
+
for(j=0;j<dim;j++){
float error=a[j*step];
if(inter){
for(i=0;i<n/dim;i++)
- base=process_one(b,bi,a+i,dim,n/dim,addmul[bi],base);
+ base=process_one(b,bi,a+i,dim,n/dim,addmul[bi],base);
}else{
for(i=0;i<=n-dim;i+=dim)
- base=process_one(b,bi,a+i,dim,1,addmul[bi],base);
+ base=process_one(b,bi,a+i,dim,1,addmul[bi],base);
}
}
void process_usage(void){
fprintf(stderr,
- "usage: vqmetrics [-i] +|*<codebook>.vqh [ +|*<codebook.vqh> ]... \n"
- " datafile.vqd [datafile.vqd]...\n\n"
- " data can be taken on stdin. -i indicates interleaved coding.\n"
- " Output goes to output files:\n"
- " basename-me.m: gnuplot: mean error by entry value\n"
- " basename-mse.m: gnuplot: mean square error by entry value\n"
- " basename-worst.m: gnuplot: worst error by entry value\n"
- " basename-distance.m: gnuplot file showing distance probability\n"
- "\n");
+ "usage: vqmetrics [-i] +|*<codebook>.vqh [ +|*<codebook.vqh> ]... \n"
+ " datafile.vqd [datafile.vqd]...\n\n"
+ " data can be taken on stdin. -i indicates interleaved coding.\n"
+ " Output goes to output files:\n"
+ " basename-me.m: gnuplot: mean error by entry value\n"
+ " basename-mse.m: gnuplot: mean square error by entry value\n"
+ " basename-worst.m: gnuplot: worst error by entry value\n"
+ " basename-distance.m: gnuplot file showing distance probability\n"
+ "\n");
}