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- /********************************************************************
- * *
- * THIS FILE IS PART OF THE OggVorbis SOFTWARE CODEC SOURCE CODE. *
- * USE, DISTRIBUTION AND REPRODUCTION OF THIS LIBRARY SOURCE IS *
- * GOVERNED BY A BSD-STYLE SOURCE LICENSE INCLUDED WITH THIS SOURCE *
- * IN 'COPYING'. PLEASE READ THESE TERMS BEFORE DISTRIBUTING. *
- * *
- * THE OggVorbis SOURCE CODE IS (C) COPYRIGHT 1994-2009 *
- * by the Xiph.Org Foundation http://www.xiph.org/ *
- * *
- ********************************************************************
- function: LPC low level routines
- ********************************************************************/
- /* Some of these routines (autocorrelator, LPC coefficient estimator)
- are derived from code written by Jutta Degener and Carsten Bormann;
- thus we include their copyright below. The entirety of this file
- is freely redistributable on the condition that both of these
- copyright notices are preserved without modification. */
- /* Preserved Copyright: *********************************************/
- /* Copyright 1992, 1993, 1994 by Jutta Degener and Carsten Bormann,
- Technische Universita"t Berlin
- Any use of this software is permitted provided that this notice is not
- removed and that neither the authors nor the Technische Universita"t
- Berlin are deemed to have made any representations as to the
- suitability of this software for any purpose nor are held responsible
- for any defects of this software. THERE IS ABSOLUTELY NO WARRANTY FOR
- THIS SOFTWARE.
- As a matter of courtesy, the authors request to be informed about uses
- this software has found, about bugs in this software, and about any
- improvements that may be of general interest.
- Berlin, 28.11.1994
- Jutta Degener
- Carsten Bormann
- *********************************************************************/
- #include <stdlib.h>
- #include <string.h>
- #include <math.h>
- #include "os.h"
- #include "smallft.h"
- #include "lpc.h"
- #include "scales.h"
- #include "misc.h"
- /* Autocorrelation LPC coeff generation algorithm invented by
- N. Levinson in 1947, modified by J. Durbin in 1959. */
- /* Input : n elements of time doamin data
- Output: m lpc coefficients, excitation energy */
- float vorbis_lpc_from_data(float *data,float *lpci,int n,int m){
- double *aut=alloca(sizeof(*aut)*(m+1));
- double *lpc=alloca(sizeof(*lpc)*(m));
- double error;
- double epsilon;
- int i,j;
- /* autocorrelation, p+1 lag coefficients */
- j=m+1;
- while(j--){
- double d=0; /* double needed for accumulator depth */
- for(i=j;i<n;i++)d+=(double)data[i]*data[i-j];
- aut[j]=d;
- }
- /* Generate lpc coefficients from autocorr values */
- /* set our noise floor to about -100dB */
- error=aut[0] * (1. + 1e-10);
- epsilon=1e-9*aut[0]+1e-10;
- for(i=0;i<m;i++){
- double r= -aut[i+1];
- if(error<epsilon){
- memset(lpc+i,0,(m-i)*sizeof(*lpc));
- goto done;
- }
- /* Sum up this iteration's reflection coefficient; note that in
- Vorbis we don't save it. If anyone wants to recycle this code
- and needs reflection coefficients, save the results of 'r' from
- each iteration. */
- for(j=0;j<i;j++)r-=lpc[j]*aut[i-j];
- r/=error;
- /* Update LPC coefficients and total error */
- lpc[i]=r;
- for(j=0;j<i/2;j++){
- double tmp=lpc[j];
- lpc[j]+=r*lpc[i-1-j];
- lpc[i-1-j]+=r*tmp;
- }
- if(i&1)lpc[j]+=lpc[j]*r;
- error*=1.-r*r;
- }
- done:
- /* slightly damp the filter */
- {
- double g = .99;
- double damp = g;
- for(j=0;j<m;j++){
- lpc[j]*=damp;
- damp*=g;
- }
- }
- for(j=0;j<m;j++)lpci[j]=(float)lpc[j];
- /* we need the error value to know how big an impulse to hit the
- filter with later */
- return error;
- }
- void vorbis_lpc_predict(float *coeff,float *prime,int m,
- float *data,long n){
- /* in: coeff[0...m-1] LPC coefficients
- prime[0...m-1] initial values (allocated size of n+m-1)
- out: data[0...n-1] data samples */
- long i,j,o,p;
- float y;
- float *work=alloca(sizeof(*work)*(m+n));
- if(!prime)
- for(i=0;i<m;i++)
- work[i]=0.f;
- else
- for(i=0;i<m;i++)
- work[i]=prime[i];
- for(i=0;i<n;i++){
- y=0;
- o=i;
- p=m;
- for(j=0;j<m;j++)
- y-=work[o++]*coeff[--p];
- data[i]=work[o]=y;
- }
- }
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