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📄 qgain475.c

📁 Trolltech公司发布的图形界面操作系统。可在qt-embedded-2.3.10平台上编译为嵌入式图形界面操作系统。
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    Word16 *sf1_gain_cod       /* o  : Code gain,                         Q1  */){    const Word16 *p;    Word16 i, index = 0;    Word16 tmp;    Word16 exp;    Word16 sf0_gcode0, sf1_gcode0;    Word16 g_pitch, g2_pitch, g_code, g2_code, g_pit_cod;    Word16 coeff[10], coeff_lo[10], exp_max[10];  /* 0..4: sf0; 5..9: sf1 */    Word32 L_tmp, dist_min;    /*-------------------------------------------------------------------*     *  predicted codebook gain                                          *     *  ~~~~~~~~~~~~~~~~~~~~~~~                                          *     *  gc0     = 2^exp_gcode0 + 2^frac_gcode0                           *     *                                                                   *     *  gcode0 (Q14) = 2^14*2^frac_gcode0 = gc0 * 2^(14-exp_gcode0)      *     *-------------------------------------------------------------------*/    sf0_gcode0 = extract_l(Pow2(14, sf0_frac_gcode0));    sf1_gcode0 = extract_l(Pow2(14, sf1_frac_gcode0));    /*     * For each subframe, the error energy (sum) to be minimized consists     * of five terms, t[0..4].     *     *                      t[0] =    gp^2  * <y1 y1>     *                      t[1] = -2*gp    * <xn y1>     *                      t[2] =    gc^2  * <y2 y2>     *                      t[3] = -2*gc    * <xn y2>     *                      t[4] =  2*gp*gc * <y1 y2>     *     */    /* sf 0 */    /* determine the scaling exponent for g_code: ec = ec0 - 11 */    exp = sub(sf0_exp_gcode0, 11);    /* calculate exp_max[i] = s[i]-1 */    exp_max[0] = sub(sf0_exp_coeff[0], 13);                        move16 ();    exp_max[1] = sub(sf0_exp_coeff[1], 14);                        move16 ();    exp_max[2] = add(sf0_exp_coeff[2], add(15, shl(exp, 1)));      move16 ();    exp_max[3] = add(sf0_exp_coeff[3], exp);                       move16 ();    exp_max[4] = add(sf0_exp_coeff[4], add(1, exp));               move16 ();    /* sf 1 */    /* determine the scaling exponent for g_code: ec = ec0 - 11 */    exp = sub(sf1_exp_gcode0, 11);    /* calculate exp_max[i] = s[i]-1 */    exp_max[5] = sub(sf1_exp_coeff[0], 13);                        move16 ();    exp_max[6] = sub(sf1_exp_coeff[1], 14);                        move16 ();    exp_max[7] = add(sf1_exp_coeff[2], add(15, shl(exp, 1)));      move16 ();    exp_max[8] = add(sf1_exp_coeff[3], exp);                       move16 ();    exp_max[9] = add(sf1_exp_coeff[4], add(1, exp));               move16 ();    /*-------------------------------------------------------------------*     *  Gain search equalisation:                                        *     *  ~~~~~~~~~~~~~~~~~~~~~~~~~                                        *     *  The MSE for the two subframes is weighted differently if there   *     *  is a big difference in the corresponding target energies         *     *-------------------------------------------------------------------*/    /* make the target energy exponents the same by de-normalizing the       fraction of the smaller one. This is necessary to be able to compare       them     */    exp = sf0_exp_target_en - sf1_exp_target_en;    test ();    if (exp > 0)    {        sf1_frac_target_en = shr (sf1_frac_target_en, exp);    }    else    {        sf0_frac_target_en = shl (sf0_frac_target_en, exp);    }    /* assume no change of exponents */    exp = 0; move16 ();    /* test for target energy difference; set exp to +1 or -1 to scale     * up/down coefficients for sf 1     */    tmp = shr_r (sf1_frac_target_en, 1);   /* tmp = ceil(0.5*en(sf1)) */    test ();    if (sub (tmp, sf0_frac_target_en) > 0) /* tmp > en(sf0)? */    {        /*         * target_energy(sf1) > 2*target_energy(sf0)         *   -> scale up MSE(sf0) by 2 by adding 1 to exponents 0..4         */        exp = 1; move16 ();    }    else    {        tmp = shr (add (sf0_frac_target_en, 3), 2); /* tmp=ceil(0.25*en(sf0)) */        test();        if (sub (tmp, sf1_frac_target_en) > 0)      /* tmp > en(sf1)? */        {            /*             * target_energy(sf1) < 0.25*target_energy(sf0)             *   -> scale down MSE(sf0) by 0.5 by subtracting 1 from             *      coefficients 0..4             */            exp = -1; move16 ();        }    }        for (i = 0; i < 5; i++)    {        exp_max[i] = add (exp_max[i], exp); move16 ();    }                                                                           /*-------------------------------------------------------------------*     *  Find maximum exponent:                                           *     *  ~~~~~~~~~~~~~~~~~~~~~~                                           *     *                                                                   *     *  For the sum operation, all terms must have the same scaling;     *     *  that scaling should be low enough to prevent overflow. There-    *     *  fore, the maximum scale is determined and all coefficients are   *     *  re-scaled:                                                       *     *                                                                   *     *    exp = max(exp_max[i]) + 1;                                     *     *    e = exp_max[i]-exp;         e <= 0!                            *     *    c[i] = c[i]*2^e                                                *     *-------------------------------------------------------------------*/    exp = exp_max[0];                                        move16 ();    for (i = 1; i < 10; i++)    {        move16(); test();        if (sub(exp_max[i], exp) > 0)        {            exp = exp_max[i];                                move16 ();        }    }    exp = add(exp, 1);      /* To avoid overflow */    p = &sf0_frac_coeff[0]; move16 ();    for (i = 0; i < 5; i++) {        tmp = sub(exp, exp_max[i]);        L_tmp = L_deposit_h(*p++);        L_tmp = L_shr(L_tmp, tmp);        L_Extract(L_tmp, &coeff[i], &coeff_lo[i]);    }    p = &sf1_frac_coeff[0]; move16 ();    for (; i < 10; i++) {        tmp = sub(exp, exp_max[i]);        L_tmp = L_deposit_h(*p++);        L_tmp = L_shr(L_tmp, tmp);        L_Extract(L_tmp, &coeff[i], &coeff_lo[i]);    }    /*-------------------------------------------------------------------*     *  Codebook search:                                                 *     *  ~~~~~~~~~~~~~~~~                                                 *     *                                                                   *     *  For each pair (g_pitch, g_fac) in the table calculate the        *     *  terms t[0..4] and sum them up; the result is the mean squared    *     *  error for the quantized gains from the table. The index for the  *     *  minimum MSE is stored and finally used to retrieve the quantized *     *  gains                                                            *     *-------------------------------------------------------------------*/    /* start with "infinite" MSE */    dist_min = MAX_32;        move32();    p = &table_gain_MR475[0]; move16 ();    for (i = 0; i < MR475_VQ_SIZE; i++)    {        /* subframe 0 (and 2) calculations */        g_pitch = *p++;       move16 ();        g_code = *p++;        move16 ();        g_code = mult(g_code, sf0_gcode0);        g2_pitch = mult(g_pitch, g_pitch);        g2_code = mult(g_code, g_code);        g_pit_cod = mult(g_code, g_pitch);                L_tmp = Mpy_32_16(       coeff[0], coeff_lo[0], g2_pitch);        L_tmp = Mac_32_16(L_tmp, coeff[1], coeff_lo[1], g_pitch);        L_tmp = Mac_32_16(L_tmp, coeff[2], coeff_lo[2], g2_code);        L_tmp = Mac_32_16(L_tmp, coeff[3], coeff_lo[3], g_code);        L_tmp = Mac_32_16(L_tmp, coeff[4], coeff_lo[4], g_pit_cod);        tmp = sub (g_pitch, gp_limit);        /* subframe 1 (and 3) calculations */        g_pitch = *p++;      move16 ();        g_code = *p++;       move16 ();        test (); test (); test ();        if (tmp <= 0 && sub(g_pitch, gp_limit) <= 0)        {            g_code = mult(g_code, sf1_gcode0);            g2_pitch = mult(g_pitch, g_pitch);            g2_code = mult(g_code, g_code);            g_pit_cod = mult(g_code, g_pitch);                        L_tmp = Mac_32_16(L_tmp, coeff[5], coeff_lo[5], g2_pitch);            L_tmp = Mac_32_16(L_tmp, coeff[6], coeff_lo[6], g_pitch);            L_tmp = Mac_32_16(L_tmp, coeff[7], coeff_lo[7], g2_code);            L_tmp = Mac_32_16(L_tmp, coeff[8], coeff_lo[8], g_code);            L_tmp = Mac_32_16(L_tmp, coeff[9], coeff_lo[9], g_pit_cod);                        /* store table index if MSE for this index is lower               than the minimum MSE seen so far */            test ();            if (L_sub(L_tmp, dist_min) < (Word32) 0)            {                dist_min = L_tmp; move32 ();                index = i;        move16 ();            }        }    }    /*------------------------------------------------------------------*     *  read quantized gains and update MA predictor memories           *     *  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~           *     *------------------------------------------------------------------*/    /* for subframe 0, the pre-calculated gcode0/exp_gcode0 are the same       as those calculated from the "real" predictor using quantized gains */    tmp = shl(index, 2);    MR475_quant_store_results(pred_st,                              &table_gain_MR475[tmp],                              sf0_gcode0,                              sf0_exp_gcode0,                              sf0_gain_pit,                              sf0_gain_cod);    /* calculate new predicted gain for subframe 1 (this time using       the real, quantized gains)                                   */    gc_pred(pred_st, MR475, sf1_code_nosharp,            &sf1_exp_gcode0, &sf1_frac_gcode0,            &sf0_exp_gcode0, &sf0_gcode0); /* last two args are dummy */    sf1_gcode0 = extract_l(Pow2(14, sf1_frac_gcode0));    tmp = add (tmp, 2);    MR475_quant_store_results(pred_st,                              &table_gain_MR475[tmp],                              sf1_gcode0,                              sf1_exp_gcode0,                              sf1_gain_pit,                              sf1_gain_cod);    return index;}

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