view libgsmefr/g_code.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 9dac98926a2d
children
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/*************************************************************************
 *
 *  FUNCTION:   G_code
 *
 *  PURPOSE:  Compute the innovative codebook gain.
 *
 *  DESCRIPTION:
 *      The innovative codebook gain is given by
 *
 *              g = <x[], y[]> / <y[], y[]>
 *
 *      where x[] is the target vector, y[] is the filtered innovative
 *      codevector, and <> denotes dot product.
 *
 *************************************************************************/

#include "gsm_efr.h"
#include "typedef.h"
#include "namespace.h"
#include "basic_op.h"
#include "no_count.h"
#include "cnst.h"
#include "codec.h"

Word16 G_code (         /* out   : Gain of innovation code         */
    Word16 xn2[],       /* in    : target vector                   */
    Word16 y2[]         /* in    : filtered innovation vector      */
)
{
    Word16 i;
    Word16 xy, yy, exp_xy, exp_yy, gain;
    Word16 scal_y2[L_SUBFR];
    Word32 s;

    /* Scale down Y[] by 2 to avoid overflow */

    for (i = 0; i < L_SUBFR; i++)
    {
        scal_y2[i] = shr (y2[i], 1);  move16 (); 
    }

    /* Compute scalar product <X[],Y[]> */

    s = 1L;                           move32 (); /* Avoid case of all zeros */
    for (i = 0; i < L_SUBFR; i++)
    {
        s = L_mac (s, xn2[i], scal_y2[i]);
    }
    exp_xy = norm_l (s);
    xy = extract_h (L_shl (s, exp_xy));

    /* If (xy < 0) gain = 0  */

    test (); 
    if (xy <= 0)
        return ((Word16) 0);

    /* Compute scalar product <Y[],Y[]> */

    s = 0L;                           move32 (); 
    for (i = 0; i < L_SUBFR; i++)
    {
        s = L_mac (s, scal_y2[i], scal_y2[i]);
    }
    exp_yy = norm_l (s);
    yy = extract_h (L_shl (s, exp_yy));

    /* compute gain = xy/yy */

    xy = shr (xy, 1);                 /* Be sure xy < yy */
    gain = div_s (xy, yy);

    /* Denormalization of division */
    i = add (exp_xy, 5);              /* 15-1+9-18 = 5 */
    i = sub (i, exp_yy);

    gain = shr (gain, i);

    return (gain);
}