FreeCalypso > hg > gsm-codec-lib
view libgsmefr/levinson.c @ 581:e2d5cad04cbf
libgsmhr1 RxFE: store CN R0+LPC separately from speech
In the original GSM 06.06 code the ECU for speech mode is entirely
separate from the CN generator, maintaining separate state. (The
main intertie between them is the speech vs CN state variable,
distinguishing between speech and CN BFIs, in addition to the
CN-specific function of distinguishing between initial and update
SIDs.)
In the present RxFE implementation I initially thought that we could
use the same saved_frame buffer for both ECU and CN, overwriting
just the first 4 params (R0 and LPC) when a valid SID comes in.
However, I now realize it was a bad idea: the original code has a
corner case (long sequence of speech-mode BFIs to put the ECU in
state 6, then SID and CN-mode BFIs, then a good speech frame) that
would be broken by that buffer reuse approach. We could eliminate
this corner case by resetting the ECU state when passing through
a CN insertion period, but doing so would needlessly increase
the behavioral diffs between GSM 06.06 and our version.
Solution: use a separate CN-specific buffer for CN R0+LPC parameters,
and match the behavior of GSM 06.06 code in this regard.
author | Mychaela Falconia <falcon@freecalypso.org> |
---|---|
date | Thu, 13 Feb 2025 10:02:45 +0000 |
parents | 1cdbaeec7bcc |
children |
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/************************************************************************* * * FUNCTION: Levinson() * * PURPOSE: Levinson-Durbin algorithm in double precision. To compute the * LP filter parameters from the speech autocorrelations. * * DESCRIPTION: * R[i] autocorrelations. * A[i] filter coefficients. * K reflection coefficients. * Alpha prediction gain. * * Initialisation: * 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 * *************************************************************************/ #include "gsm_efr.h" #include "typedef.h" #include "namespace.h" #include "basic_op.h" #include "oper_32b.h" #include "no_count.h" #include "sig_proc.h" #include "cnst.h" #include "enc_state.h" /* Lpc order == 10 */ #define M 10 void Levinson ( struct EFR_encoder_state *st, Word16 Rh[], /* (i) : Rh[m+1] Vector of autocorrelations (msb) */ Word16 Rl[], /* (i) : Rl[m+1] Vector of autocorrelations (lsb) */ Word16 A[], /* (o) : A[m] LPC coefficients (m = 10) */ Word16 rc[] /* (o) : rc[4] First 4 reflection coefficients */ ) { Word16 i, j; Word16 hi, lo; Word16 Kh, Kl; /* reflexion 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]); t2 = L_abs (t1); /* abs R[1] */ t0 = Div_32 (t2, Rh[0], Rl[0]); /* R[1]/R[0] */ test (); if (t1 > 0) t0 = L_negate (t0); /* -R[1]/R[0] */ L_Extract (t0, &Kh, &Kl); /* K in DPF */ rc[0] = round (t0); move16 (); t0 = L_shr (t0, 4); /* A[1] in */ 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 */ t0 = L_abs (t0); /* Some case <0 !! */ t0 = L_sub ((Word32) 0x7fffffffL, t0); /* 1 - K*K */ L_Extract (t0, &hi, &lo); /* DPF format */ t0 = Mpy_32 (Rh[0], Rl[0], hi, lo); /* Alpha in */ /* 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; move32 (); 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); t1 = L_Comp (Rh[i], Rl[i]); t0 = L_add (t0, t1); /* add R[i] */ /* K = -t0 / Alpha */ t1 = L_abs (t0); t2 = Div_32 (t1, alp_h, alp_l); /* abs(t0)/Alpha */ test (); 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 */ test (); if (i < 5) { rc[i - 1] = round (t2); move16 (); } /* Test for unstable filter. If unstable keep old A(z) */ if (abs_s (Kh) > 32750) { for (j = 0; j <= M; j++) { A[j] = st->old_A[j]; } for (j = 0; j < 4; j++) { rc[j] = 0; } 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_mac (t0, Ah[j], 32767); t0 = L_mac (t0, Al[j], 1); L_Extract (t0, &Anh[j], &Anl[j]); } t2 = L_shr (t2, 4); L_Extract (t2, &Anh[i], &Anl[i]); /* Alpha = Alpha * (1-K**2) */ t0 = Mpy_32 (Kh, Kl, Kh, Kl); /* K*K */ t0 = L_abs (t0); /* Some case <0 !! */ t0 = L_sub ((Word32) 0x7fffffffL, t0); /* 1 - K*K */ L_Extract (t0, &hi, &lo); /* DPF format */ t0 = Mpy_32 (alp_h, alp_l, hi, lo); /* 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]; move16 (); Al[j] = Anl[j]; move16 (); } } A[0] = 4096; move16 (); for (i = 1; i <= M; i++) { t0 = L_Comp (Ah[i], Al[i]); st->old_A[i] = A[i] = round (L_shl (t0, 1)); } return; }