?? lpc.c
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/*
ITU-T G.729A Speech Coder ANSI-C Source Code
Version 1.1 Last modified: September 1996
Copyright (c) 1996,
AT&T, France Telecom, NTT, Universite de Sherbrooke
All rights reserved.
*/
/*-----------------------------------------------------*
* Function Autocorr() *
* *
* Compute autocorrelations of signal with windowing *
* *
*-----------------------------------------------------*/
#include "typedef.h"
#include "basic_op.h"
#include "oper_32b.h"
#include "ld8a.h"
#include "tab_ld8a.h"
void Autocorr(
Word16 x[], /* (i) : Input signal */
Word16 m, /* (i) : LPC order */
Word16 r_h[], /* (o) : Autocorrelations (msb) */
Word16 r_l[] /* (o) : Autocorrelations (lsb) */
)
{
Word16 i, j, norm;
Word16 y[L_WINDOW];
Word32 sum;
extern Flag Overflow;
/* Windowing of signal */
for(i=0; i<L_WINDOW; i++)
{
y[i] = mult_r(x[i], hamwindow[i]);
}
/* Compute r[0] and test for overflow */
do {
Overflow = 0;
sum = 1; /* Avoid case of all zeros */
for(i=0; i<L_WINDOW; i++)
sum = L_mac(sum, y[i], y[i]);
/* If overflow divide y[] by 4 */
if(Overflow != 0)
{
for(i=0; i<L_WINDOW; i++)
{
y[i] = shr(y[i], 2);
}
}
}while (Overflow != 0);
/* Normalization of r[0] */
norm = norm_l(sum);
sum = L_shl(sum, norm);
L_Extract(sum, &r_h[0], &r_l[0]); /* Put in DPF format (see oper_32b) */
/* r[1] to r[m] */
for (i = 1; i <= m; i++)
{
sum = 0;
for(j=0; j<L_WINDOW-i; j++)
sum = L_mac(sum, y[j], y[j+i]);
sum = L_shl(sum, norm);
L_Extract(sum, &r_h[i], &r_l[i]);
}
return;
}
/*-------------------------------------------------------*
* Function Lag_window() *
* *
* Lag_window on autocorrelations. *
* *
* r[i] *= lag_wind[i] *
* *
* r[i] and lag_wind[i] are in special double precision.*
* See "oper_32b.c" for the format *
* *
*-------------------------------------------------------*/
void Lag_window(
Word16 m, /* (i) : LPC order */
Word16 r_h[], /* (i/o) : Autocorrelations (msb) */
Word16 r_l[] /* (i/o) : Autocorrelations (lsb) */
)
{
Word16 i;
Word32 x;
for(i=1; i<=m; i++)
{
x = Mpy_32(r_h[i], r_l[i], lag_h[i-1], lag_l[i-1]);
L_Extract(x, &r_h[i], &r_l[i]);
}
return;
}
/*___________________________________________________________________________
| |
| LEVINSON-DURBIN algorithm in double precision |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
|---------------------------------------------------------------------------|
| |
| Algorithm |
| |
| R[i] autocorrelations. |
| A[i] filter coefficients. |
| K reflection coefficients. |
| Alpha prediction gain. |
| |
| Initialization: |
| A[0] = 1 |
| K = -R[1]/R[0] |
| A[1] = K |
| Alpha = R[0] * (1-K**2] |
| |
| Do for i = 2 to M |
| |
| S = SUM ( R[j]*A[i-j] ,j=1,i-1 ) + R[i] |
| |
| K = -S / Alpha |
| |
| An[j] = A[j] + K*A[i-j] for j=1 to i-1 |
| where An[i] = new A[i] |
| An[i]=K |
| |
| Alpha=Alpha * (1-K**2) |
| |
| END |
| |
| Remarks on the dynamics of the calculations. |
| |
| The numbers used are in double precision in the following format : |
| A = AH <<16 + AL<<1. AH and AL are 16 bit signed integers. |
| Since the LSB's also contain a sign bit, this format does not |
| correspond to standard 32 bit integers. We use this format since |
| it allows fast execution of multiplications and divisions. |
| |
| "DPF" will refer to this special format in the following text. |
| See oper_32b.c |
| |
| The R[i] were normalized in routine AUTO (hence, R[i] < 1.0). |
| The K[i] and Alpha are theoretically < 1.0. |
| The A[i], for a sampling frequency of 8 kHz, are in practice |
| always inferior to 16.0. |
| |
| These characteristics allow straigthforward fixed-point |
| implementation. We choose to represent the parameters as |
| follows : |
| |
| R[i] Q31 +- .99.. |
| K[i] Q31 +- .99.. |
| Alpha Normalized -> mantissa in Q31 plus exponent |
| A[i] Q27 +- 15.999.. |
| |
| The additions are performed in 32 bit. For the summation used |
| to calculate the K[i], we multiply numbers in Q31 by numbers |
| in Q27, with the result of the multiplications in Q27, |
| resulting in a dynamic of +- 16. This is sufficient to avoid |
| overflow, since the final result of the summation is |
| necessarily < 1.0 as both the K[i] and Alpha are |
| theoretically < 1.0. |
|___________________________________________________________________________|
*/
/* Last A(z) for case of unstable filter */
static Word16 old_A[M+1]={4096,0,0,0,0,0,0,0,0,0,0};
static Word16 old_rc[2]={0,0};
void Levinson(
Word16 Rh[], /* (i) : Rh[M+1] Vector of autocorrelations (msb) */
Word16 Rl[], /* (i) : Rl[M+1] Vector of autocorrelations (lsb) */
Word16 A[], /* (o) Q12 : A[M] LPC coefficients (m = 10) */
Word16 rc[] /* (o) Q15 : rc[M] Reflection coefficients. */
)
{
Word16 i, j;
Word16 hi, lo;
Word16 Kh, Kl; /* reflection coefficient; hi and lo */
Word16 alp_h, alp_l, alp_exp; /* Prediction gain; hi lo and exponent */
Word16 Ah[M+1], Al[M+1]; /* LPC coef. in double prec. */
Word16 Anh[M+1], Anl[M+1]; /* LPC coef.for next iteration in double prec. */
Word32 t0, t1, t2; /* temporary variable */
/* K = A[1] = -R[1] / R[0] */
t1 = L_Comp(Rh[1], Rl[1]); /* R[1] in Q31 */
t2 = L_abs(t1); /* abs R[1] */
t0 = Div_32(t2, Rh[0], Rl[0]); /* R[1]/R[0] in Q31 */
if(t1 > 0) t0= L_negate(t0); /* -R[1]/R[0] */
L_Extract(t0, &Kh, &Kl); /* K in DPF */
rc[0] = Kh;
t0 = L_shr(t0,4); /* A[1] in Q27 */
L_Extract(t0, &Ah[1], &Al[1]); /* A[1] in DPF */
/* Alpha = R[0] * (1-K**2) */
t0 = Mpy_32(Kh ,Kl, Kh, Kl); /* K*K in Q31 */
t0 = L_abs(t0); /* Some case <0 !! */
t0 = L_sub( (Word32)0x7fffffffL, t0 ); /* 1 - K*K in Q31 */
L_Extract(t0, &hi, &lo); /* DPF format */
t0 = Mpy_32(Rh[0] ,Rl[0], hi, lo); /* Alpha in Q31 */
/* Normalize Alpha */
alp_exp = norm_l(t0);
t0 = L_shl(t0, alp_exp);
L_Extract(t0, &alp_h, &alp_l); /* DPF format */
/*--------------------------------------*
* ITERATIONS I=2 to M *
*--------------------------------------*/
for(i= 2; i<=M; i++)
{
/* t0 = SUM ( R[j]*A[i-j] ,j=1,i-1 ) + R[i] */
t0 = 0;
for(j=1; j<i; j++)
t0 = L_add(t0, Mpy_32(Rh[j], Rl[j], Ah[i-j], Al[i-j]));
t0 = L_shl(t0,4); /* result in Q27 -> convert to Q31 */
/* No overflow possible */
t1 = L_Comp(Rh[i],Rl[i]);
t0 = L_add(t0, t1); /* add R[i] in Q31 */
/* K = -t0 / Alpha */
t1 = L_abs(t0);
t2 = Div_32(t1, alp_h, alp_l); /* abs(t0)/Alpha */
if(t0 > 0) t2= L_negate(t2); /* K =-t0/Alpha */
t2 = L_shl(t2, alp_exp); /* denormalize; compare to Alpha */
L_Extract(t2, &Kh, &Kl); /* K in DPF */
rc[i-1] = Kh;
/* Test for unstable filter. If unstable keep old A(z) */
if (sub(abs_s(Kh), 32750) > 0)
{
for(j=0; j<=M; j++)
{
A[j] = old_A[j];
}
rc[0] = old_rc[0]; /* only two rc coefficients are needed */
rc[1] = old_rc[1];
return;
}
/*------------------------------------------*
* Compute new LPC coeff. -> An[i] *
* An[j]= A[j] + K*A[i-j] , j=1 to i-1 *
* An[i]= K *
*------------------------------------------*/
for(j=1; j<i; j++)
{
t0 = Mpy_32(Kh, Kl, Ah[i-j], Al[i-j]);
t0 = L_add(t0, L_Comp(Ah[j], Al[j]));
L_Extract(t0, &Anh[j], &Anl[j]);
}
t2 = L_shr(t2, 4); /* t2 = K in Q31 ->convert to Q27 */
L_Extract(t2, &Anh[i], &Anl[i]); /* An[i] in Q27 */
/* Alpha = Alpha * (1-K**2) */
t0 = Mpy_32(Kh ,Kl, Kh, Kl); /* K*K in Q31 */
t0 = L_abs(t0); /* Some case <0 !! */
t0 = L_sub( (Word32)0x7fffffffL, t0 ); /* 1 - K*K in Q31 */
L_Extract(t0, &hi, &lo); /* DPF format */
t0 = Mpy_32(alp_h , alp_l, hi, lo); /* Alpha in Q31 */
/* Normalize Alpha */
j = norm_l(t0);
t0 = L_shl(t0, j);
L_Extract(t0, &alp_h, &alp_l); /* DPF format */
alp_exp = add(alp_exp, j); /* Add normalization to alp_exp */
/* A[j] = An[j] */
for(j=1; j<=i; j++)
{
Ah[j] =Anh[j];
Al[j] =Anl[j];
}
}
/* Truncate A[i] in Q27 to Q12 with rounding */
A[0] = 4096;
for(i=1; i<=M; i++)
{
t0 = L_Comp(Ah[i], Al[i]);
old_A[i] = A[i] = round(L_shl(t0, 1));
}
old_rc[0] = rc[0];
old_rc[1] = rc[1];
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