void WebRtcG729fix_Lsp_Az(
int16_t lsp[], /* (i) Q15 : line spectral frequencies */
int16_t a[] /* (o) Q12 : predictor coefficients (order = 10) */
)
{
int16_t i;
int32_t f1[6], f2[6];
int32_t ff1, ff2, fff1, fff2;
Get_lsp_pol(&lsp[0],f1);
Get_lsp_pol(&lsp[1],f2);
a[0] = 4096;
for (i = 1; i <= 5; i++)
{
ff1 = WebRtcSpl_AddSatW32(f1[i], f1[i-1]); /* f1[i] += f1[i-1]; */
ff2 = WebRtcSpl_SubSatW32(f2[i], f2[i-1]); /* f2[i] -= f2[i-1]; */
fff1 = WebRtcSpl_AddSatW32(ff1, ff2); /* f1[i] + f2[i] */
fff2 = WebRtcSpl_SubSatW32(ff1, ff2); /* f1[i] - f2[i] */
a[i] = extract_l(L_shr_r(fff1, 13)); /* from Q24 to Q12 and * 0.5 */
a[11-i] = extract_l(L_shr_r(fff2, 13)); /* from Q24 to Q12 and * 0.5 */
}
}
void Lsp_Az(
Word16 lsp[], /* (i) Q15 : line spectral frequencies */
Word16 a[] /* (o) Q12 : predictor coefficients (order = 10) */
)
{
Word16 i, j;
Word32 f1[6], f2[6];
Word32 t0;
Get_lsp_pol(&lsp[0],f1);
Get_lsp_pol(&lsp[1],f2);
for (i = 5; i > 0; i--)
{
f1[i] = L_add(f1[i], f1[i-1]); /* f1[i] += f1[i-1]; */
f2[i] = L_sub(f2[i], f2[i-1]); /* f2[i] -= f2[i-1]; */
}
a[0] = 4096;
for (i = 1, j = 10; i <= 5; i++, j--)
{
t0 = L_add(f1[i], f2[i]); /* f1[i] + f2[i] */
a[i] = extract_l( L_shr_r(t0, 13) ); /* from Q24 to Q12 and * 0.5 */
t0 = L_sub(f1[i], f2[i]); /* f1[i] - f2[i] */
a[j] = extract_l( L_shr_r(t0, 13) ); /* from Q24 to Q12 and * 0.5 */
}
return;
}
Word16 fn10Log10 (Word32 L_Input, Word16 fbits)
{
Word16 integer; /* Integer part of Log2. (range: 0<=val<=30) */
Word16 fraction; /* Fractional part of Log2. (range: 0<=val<1) */
Word32 Ltmp;
Word16 tmp;
Log2(L_Input, &integer, &fraction);
integer = sub(integer, fbits);
Ltmp = Mpy_32_16 (integer, fraction, 24660); /* 24660 = 10*log10(2)/4 scaled 0,15 */
Ltmp = L_shr_r(Ltmp, 5+1); /* extra shift for 30,1 => 15,0 extract correction */
tmp = extract_l(Ltmp);
return (tmp);
}
Word32 Pow2( /* Q0 output */
Word16 int_comp, /* Q0 Integer part */
Word16 frac_comp /* Q15 frac_compal part */
)
{
Word32 a0;
Word16 idx_frac, frac, sub_frac, sub_tab;
idx_frac = shr(frac_comp, 9); // for 65 entry table
sub_frac = frac_comp & 0x01FF; // sub-frac_comp in Q9
sub_frac = shl(sub_frac, 6); // Q15
frac = tabpow[idx_frac]; // Q15 table entry of 2^(frac_comp-1)
a0 = L_deposit_h(frac); // Q31 table entry of 2^(frac_comp-1)
sub_tab = sub(tabpow[idx_frac+1], frac); // Q15 difference to next table entry
a0 = L_mac(a0, sub_frac, sub_tab); // Q31 linear interpolation between table entries
a0 = L_shr_r(a0, sub(30, int_comp)); // Q0 - note: sub(30, int_comp) = 31-(int_comp+1)
return a0;
}
Word32 Pow2( /* (o) Q0 : result (range: 0<=val<=0x7fffffff) */
Word16 exponent, /* (i) Q0 : Integer part. (range: 0<=val<=30) */
Word16 fraction /* (i) Q15 : Fractional part. (range: 0.0<=val<1.0) */
)
{
Word16 exp, i, a, tmp;
Word32 L_x;
L_x = L_mult(fraction, 32); /* L_x = fraction<<6 */
i = extract_h(L_x); /* Extract b10-b15 of fraction */
L_x = L_shr(L_x, 1);
a = extract_l(L_x); /* Extract b0-b9 of fraction */
a = a & (Word16)0x7fff;
L_x = L_deposit_h(tabpow[i]); /* tabpow[i] << 16 */
tmp = sub(tabpow[i], tabpow[i+1]); /* tabpow[i] - tabpow[i+1] */
L_x = L_msu(L_x, tmp, a); /* L_x -= tmp*a*2 */
exp = sub(30, exponent);
L_x = L_shr_r(L_x, exp);
return(L_x);
}
int32_t WebRtcG729fix_Pow2( /* (o) Q0 : result (range: 0<=val<=0x7fffffff) */
int16_t exponent, /* (i) Q0 : Integer part. (range: 0<=val<=30) */
int16_t fraction /* (i) Q15 : Fractional part. (range: 0.0<=val<1.0) */
)
{
int16_t exp, i, a, tmp;
int32_t L_x;
L_x = L_mult(fraction, 32); /* L_x = fraction<<6 */
i = extract_h(L_x); /* Extract b10-b15 of fraction */
L_x = L_shr(L_x, 1);
a = extract_l(L_x); /* Extract b0-b9 of fraction */
a = a & (int16_t)0x7fff;
L_x = L_deposit_h(WebRtcG729fix_tabpow[i]); /* tabpow[i] << 16 */
tmp = WebRtcSpl_SubSatW16(WebRtcG729fix_tabpow[i], WebRtcG729fix_tabpow[i+1]); /* tabpow[i] - tabpow[i+1] */
L_x = L_msu(L_x, tmp, a); /* L_x -= tmp*a*2 */
exp = WebRtcSpl_SubSatW16(30, exponent);
L_x = L_shr_r(L_x, exp);
return(L_x);
}
Word16 vad2 (Word16 * farray_ptr, vadState2 * st)
{
/*
* The channel table is defined below. In this table, the
* lower and higher frequency coefficients for each of the 16
* channels are specified. The table excludes the coefficients
* with numbers 0 (DC), 1, and 64 (Foldover frequency).
*/
const static Word16 ch_tbl[NUM_CHAN][2] =
{
{2, 3},
{4, 5},
{6, 7},
{8, 9},
{10, 11},
{12, 13},
{14, 16},
{17, 19},
{20, 22},
{23, 26},
{27, 30},
{31, 35},
{36, 41},
{42, 48},
{49, 55},
{56, 63}
};
/* channel energy scaling table - allows efficient division by number
* of DFT bins in the channel: 1/2, 1/3, 1/4, etc.
*/
const static Word16 ch_tbl_sh[NUM_CHAN] =
{
16384, 16384, 16384, 16384, 16384, 16384, 10923, 10923,
10923, 8192, 8192, 6554, 5461, 4681, 4681, 4096
};
/*
* The voice metric table is defined below. It is a non-
* linear table with a deadband near zero. It maps the SNR
* index (quantized SNR value) to a number that is a measure
* of voice quality.
*/
const static Word16 vm_tbl[90] =
{
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
3, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 7, 7, 7,
8, 8, 9, 9, 10, 10, 11, 12, 12, 13, 13, 14, 15,
15, 16, 17, 17, 18, 19, 20, 20, 21, 22, 23, 24,
24, 25, 26, 27, 28, 28, 29, 30, 31, 32, 33, 34,
35, 36, 37, 37, 38, 39, 40, 41, 42, 43, 44, 45,
46, 47, 48, 49, 50, 50, 50, 50, 50, 50, 50, 50,
50, 50
};
/* hangover as a function of peak SNR (3 dB steps) */
const static Word16 hangover_table[20] =
{
30, 30, 30, 30, 30, 30, 28, 26, 24, 22, 20, 18, 16, 14, 12, 10, 8, 8, 8, 8
};
/* burst sensitivity as a function of peak SNR (3 dB steps) */
const static Word16 burstcount_table[20] =
{
8, 8, 8, 8, 8, 8, 8, 8, 7, 6, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4
};
/* voice metric sensitivity as a function of peak SNR (3 dB steps) */
const static Word16 vm_threshold_table[20] =
{
34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 40, 51, 71, 100, 139, 191, 257, 337, 432
};
/* State tables that use 22,9 or 27,4 scaling for ch_enrg[] */
const static Word16 noise_floor_chan[2] = {NOISE_FLOOR_CHAN_0, NOISE_FLOOR_CHAN_1};
const static Word16 min_chan_enrg[2] = {MIN_CHAN_ENRG_0, MIN_CHAN_ENRG_1};
const static Word16 ine_noise[2] = {INE_NOISE_0, INE_NOISE_1};
const static Word16 fbits[2] = {FRACTIONAL_BITS_0, FRACTIONAL_BITS_1};
const static Word16 state_change_shift_r[2] = {STATE_1_TO_0_SHIFT_R, STATE_0_TO_1_SHIFT_R};
/* Energy scale table given 30,1 input scaling (also account for -6 dB shift on input) */
const static Word16 enrg_norm_shift[2] = {(FRACTIONAL_BITS_0-1+2), (FRACTIONAL_BITS_1-1+2)};
/* Automatic variables */
Word32 Lenrg; /* scaled as 30,1 */
Word32 Ltne; /* scaled as 22,9 */
Word32 Ltce; /* scaled as 22,9 or 27,4 */
Word16 tne_db; /* scaled as 7,8 */
Word16 tce_db; /* scaled as 7,8 */
Word16 input_buffer[FRM_LEN]; /* used for block normalising input data */
Word16 data_buffer[FFT_LEN]; /* used for in-place FFT */
Word16 ch_snr[NUM_CHAN]; /* scaled as 7,8 */
Word16 ch_snrq; /* scaled as 15,0 (in 0.375 dB steps) */
Word16 vm_sum; /* scaled as 15,0 */
Word16 ch_enrg_dev; /* scaled as 7,8 */
Word32 Lpeak; /* maximum channel energy */
Word16 p2a_flag; /* flag to indicate spectral peak-to-average ratio > 10 dB */
Word16 ch_enrg_db[NUM_CHAN]; /* scaled as 7,8 */
Word16 ch_noise_db; /* scaled as 7,8 */
Word16 alpha; /* scaled as 0,15 */
Word16 one_m_alpha; /* scaled as 0,15 */
Word16 update_flag; /* set to indicate a background noise estimate update */
Word16 i, j, j1, j2; /* Scratch variables */
Word16 hi1, lo1;
Word32 Ltmp, Ltmp1, Ltmp2;
Word16 tmp;
Word16 normb_shift; /* block norm shift count */
Word16 ivad; /* intermediate VAD decision (return value) */
Word16 tsnrq; /* total signal-to-noise ratio (quantized 3 dB steps) scaled as 15,0 */
Word16 xt; /* instantaneous frame SNR in dB, scaled as 7,8 */
Word16 state_change;
/* Increment frame counter */
st->Lframe_cnt = L_add(st->Lframe_cnt, 1);
/* Block normalize the input */
normb_shift = block_norm(farray_ptr, input_buffer, FRM_LEN, FFT_HEADROOM);
/* Pre-emphasize the input data and store in the data buffer with the appropriate offset */
for (i = 0; i < DELAY; i++)
{
data_buffer[i] = 0; move16();
}
st->pre_emp_mem = shr_r(st->pre_emp_mem, sub(st->last_normb_shift, normb_shift));
st->last_normb_shift = normb_shift; move16();
data_buffer[DELAY] = add(input_buffer[0], mult(PRE_EMP_FAC, st->pre_emp_mem)); move16();
for (i = DELAY + 1, j = 1; i < DELAY + FRM_LEN; i++, j++)
{
data_buffer[i] = add(input_buffer[j], mult(PRE_EMP_FAC, input_buffer[j-1])); move16();
}
st->pre_emp_mem = input_buffer[FRM_LEN-1]; move16();
for (i = DELAY + FRM_LEN; i < FFT_LEN; i++)
{
data_buffer[i] = 0; move16();
}
/* Perform FFT on the data buffer */
r_fft(data_buffer);
/* Use normb_shift factor to determine the scaling of the energy estimates */
state_change = 0; move16();
test();
if (st->shift_state == 0)
{ test();
if (sub(normb_shift, -FFT_HEADROOM+2) <= 0)
{
state_change = 1; move16();
st->shift_state = 1; move16();
}
}
else
{ test();
if (sub(normb_shift, -FFT_HEADROOM+5) >= 0)
{
state_change = 1; move16();
st->shift_state = 0; move16();
}
}
/* Scale channel energy estimate */ test();
if (state_change)
{
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
st->Lch_enrg[i] = L_shr(st->Lch_enrg[i], state_change_shift_r[st->shift_state]); move32();
}
}
/* Estimate the energy in each channel */
test();
if (L_sub(st->Lframe_cnt, 1) == 0)
{
alpha = 32767; move16();
one_m_alpha = 0; move16();
}
else
{
alpha = CEE_SM_FAC; move16();
one_m_alpha = ONE_MINUS_CEE_SM_FAC; move16();
}
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
Lenrg = 0; move16();
j1 = ch_tbl[i][0]; move16();
j2 = ch_tbl[i][1]; move16();
for (j = j1; j <= j2; j++)
{
Lenrg = L_mac(Lenrg, data_buffer[2 * j], data_buffer[2 * j]);
Lenrg = L_mac(Lenrg, data_buffer[2 * j + 1], data_buffer[2 * j + 1]);
}
/* Denorm energy & scale 30,1 according to the state */
Lenrg = L_shr_r(Lenrg, sub(shl(normb_shift, 1), enrg_norm_shift[st->shift_state]));
/* integrate over time: e[i] = (1-alpha)*e[i] + alpha*enrg/num_bins_in_chan */
tmp = mult(alpha, ch_tbl_sh[i]);
L_Extract (Lenrg, &hi1, &lo1);
Ltmp = Mpy_32_16(hi1, lo1, tmp);
L_Extract (st->Lch_enrg[i], &hi1, &lo1);
st->Lch_enrg[i] = L_add(Ltmp, Mpy_32_16(hi1, lo1, one_m_alpha)); move32();
test();
if (L_sub(st->Lch_enrg[i], min_chan_enrg[st->shift_state]) < 0)
{
st->Lch_enrg[i] = min_chan_enrg[st->shift_state]; move32();
}
}
/* Compute the total channel energy estimate (Ltce) */
Ltce = 0; move16();
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
Ltce = L_add(Ltce, st->Lch_enrg[i]);
}
/* Calculate spectral peak-to-average ratio, set flag if p2a > 10 dB */
Lpeak = 0; move32();
for (i = LO_CHAN+2; i <= HI_CHAN; i++) /* Sine waves not valid for low frequencies */
{ test();
if (L_sub(st->Lch_enrg [i], Lpeak) > 0)
{
Lpeak = st->Lch_enrg [i]; move32();
}
}
/* Set p2a_flag if peak (dB) > average channel energy (dB) + 10 dB */
/* Lpeak > Ltce/num_channels * 10^(10/10) */
/* Lpeak > (10/16)*Ltce */
L_Extract (Ltce, &hi1, &lo1);
Ltmp = Mpy_32_16(hi1, lo1, 20480);
test();
if (L_sub(Lpeak, Ltmp) > 0)
{
p2a_flag = TRUE; move16();
}
else
{
p2a_flag = FALSE; move16();
}
/* Initialize channel noise estimate to either the channel energy or fixed level */
/* Scale the energy appropriately to yield state 0 (22,9) scaling for noise */
test();
if (L_sub(st->Lframe_cnt, 4) <= 0)
{ test();
if (p2a_flag == TRUE)
{
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
st->Lch_noise[i] = INE_NOISE_0; move32();
}
}
else
{
for (i = LO_CHAN; i <= HI_CHAN; i++)
{ test();
if (L_sub(st->Lch_enrg[i], ine_noise[st->shift_state]) < 0)
{
st->Lch_noise[i] = INE_NOISE_0; move32();
}
else
{ test();
if (st->shift_state == 1)
{
st->Lch_noise[i] = L_shr(st->Lch_enrg[i], state_change_shift_r[0]);
move32();
}
else
{
st->Lch_noise[i] = st->Lch_enrg[i]; move32();
}
}
}
}
}
/* Compute the channel energy (in dB), the channel SNRs, and the sum of voice metrics */
vm_sum = 0; move16();
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
ch_enrg_db[i] = fn10Log10(st->Lch_enrg[i], fbits[st->shift_state]); move16();
ch_noise_db = fn10Log10(st->Lch_noise[i], FRACTIONAL_BITS_0);
ch_snr[i] = sub(ch_enrg_db[i], ch_noise_db); move16();
/* quantize channel SNR in 3/8 dB steps (scaled 7,8 => 15,0) */
/* ch_snr = round((snr/(3/8))>>8) */
/* = round(((0.6667*snr)<<2)>>8) */
/* = round((0.6667*snr)>>6) */
ch_snrq = shr_r(mult(21845, ch_snr[i]), 6);
/* Accumulate the sum of voice metrics */ test();
if (sub(ch_snrq, 89) < 0)
{ test();
if (ch_snrq > 0)
{
j = ch_snrq; move16();
}
else
{
j = 0; move16();
}
}
else
{
j = 89; move16();
}
vm_sum = add(vm_sum, vm_tbl[j]);
}
/* Initialize NOMINAL peak voice energy and average noise energy, calculate instantaneous SNR */
test(),test(),logic16();
if (L_sub(st->Lframe_cnt, 4) <= 0 || st->fupdate_flag == TRUE)
{
/* tce_db = (96 - 22 - 10*log10(64) (due to FFT)) scaled as 7,8 */
tce_db = 14320; move16();
st->negSNRvar = 0; move16();
st->negSNRbias = 0; move16();
/* Compute the total noise estimate (Ltne) */
Ltne = 0; move32();
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
Ltne = L_add(Ltne, st->Lch_noise[i]);
}
/* Get total noise in dB */
tne_db = fn10Log10(Ltne, FRACTIONAL_BITS_0);
/* Initialise instantaneous and long-term peak signal-to-noise ratios */
xt = sub(tce_db, tne_db);
st->tsnr = xt; move16();
}
else
{
/* Calculate instantaneous frame signal-to-noise ratio */
/* xt = 10*log10( sum(2.^(ch_snr*0.1*log2(10)))/length(ch_snr) ) */
Ltmp1 = 0; move32();
for (i=LO_CHAN; i<=HI_CHAN; i++) {
/* Ltmp2 = ch_snr[i] * 0.1 * log2(10); (ch_snr scaled as 7,8) */
Ltmp2 = L_shr(L_mult(ch_snr[i], 10885), 8);
L_Extract(Ltmp2, &hi1, &lo1);
hi1 = add(hi1, 3); /* 2^3 to compensate for negative SNR */
Ltmp1 = L_add(Ltmp1, Pow2(hi1, lo1));
}
xt = fn10Log10(Ltmp1, 4+3); /* average by 16, inverse compensation 2^3 */
/* Estimate long-term "peak" SNR */ test(),test();
if (sub(xt, st->tsnr) > 0)
{
/* tsnr = 0.9*tsnr + 0.1*xt; */
st->tsnr = round(L_add(L_mult(29491, st->tsnr), L_mult(3277, xt)));
}
/* else if (xt > 0.625*tsnr) */
else if (sub(xt, mult(20480, st->tsnr)) > 0)
{
/* tsnr = 0.998*tsnr + 0.002*xt; */
st->tsnr = round(L_add(L_mult(32702, st->tsnr), L_mult(66, xt)));
}
}
/* Quantize the long-term SNR in 3 dB steps, limit to 0 <= tsnrq <= 19 */
tsnrq = shr(mult(st->tsnr, 10923), 8);
/* tsnrq = min(19, max(0, tsnrq)); */ test(),test();
if (sub(tsnrq, 19) > 0)
{
tsnrq = 19; move16();
}
else if (tsnrq < 0)
{
tsnrq = 0; move16();
}
/* Calculate the negative SNR sensitivity bias */
test();
if (xt < 0)
{
/* negSNRvar = 0.99*negSNRvar + 0.01*xt*xt; */
/* xt scaled as 7,8 => xt*xt scaled as 14,17, shift to 7,8 and round */
tmp = round(L_shl(L_mult(xt, xt), 7));
st->negSNRvar = round(L_add(L_mult(32440, st->negSNRvar), L_mult(328, tmp)));
/* if (negSNRvar > 4.0) negSNRvar = 4.0; */ test();
if (sub(st->negSNRvar, 1024) > 0)
{
st->negSNRvar = 1024; move16();
}
/* negSNRbias = max(12.0*(negSNRvar - 0.65), 0.0); */
tmp = mult_r(shl(sub(st->negSNRvar, 166), 4), 24576); test();
if (tmp < 0)
{
st->negSNRbias = 0; move16();
}
else
{
st->negSNRbias = shr(tmp, 8);
}
}
/* Determine VAD as a function of the voice metric sum and quantized SNR */
tmp = add(vm_threshold_table[tsnrq], st->negSNRbias); test();
if (sub(vm_sum, tmp) > 0)
{
ivad = 1; move16();
st->burstcount = add(st->burstcount, 1); test();
if (sub(st->burstcount, burstcount_table[tsnrq]) > 0)
{
st->hangover = hangover_table[tsnrq]; move16();
}
}
else
{
st->burstcount = 0; move16();
st->hangover = sub(st->hangover, 1); test();
if (st->hangover <= 0)
{
ivad = 0; move16();
st->hangover = 0; move16();
}
else
{
ivad = 1; move16();
}
}
/* Calculate log spectral deviation */
ch_enrg_dev = 0; move16();
test();
if (L_sub(st->Lframe_cnt, 1) == 0)
{
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
st->ch_enrg_long_db[i] = ch_enrg_db[i]; move16();
}
}
else
{
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
tmp = abs_s(sub(st->ch_enrg_long_db[i], ch_enrg_db[i]));
ch_enrg_dev = add(ch_enrg_dev, tmp);
}
}
/*
* Calculate long term integration constant as a function of instantaneous SNR
* (i.e., high SNR (tsnr dB) -> slower integration (alpha = HIGH_ALPHA),
* low SNR (0 dB) -> faster integration (alpha = LOW_ALPHA)
*/
/* alpha = HIGH_ALPHA - ALPHA_RANGE * (tsnr - xt) / tsnr, low <= alpha <= high */
tmp = sub(st->tsnr, xt); test(),logic16(),test(),test();
if (tmp <= 0 || st->tsnr <= 0)
{
alpha = HIGH_ALPHA; move16();
one_m_alpha = 32768L-HIGH_ALPHA; move16();
}
else if (sub(tmp, st->tsnr) > 0)
{
alpha = LOW_ALPHA; move16();
one_m_alpha = 32768L-LOW_ALPHA; move16();
}
else
{
tmp = div_s(tmp, st->tsnr);
alpha = sub(HIGH_ALPHA, mult(ALPHA_RANGE, tmp));
one_m_alpha = sub(32767, alpha);
}
/* Calc long term log spectral energy */
for (i = LO_CHAN; i <= HI_CHAN; i++)
{
Ltmp1 = L_mult(one_m_alpha, ch_enrg_db[i]);
Ltmp2 = L_mult(alpha, st->ch_enrg_long_db[i]);
st->ch_enrg_long_db[i] = round(L_add(Ltmp1, Ltmp2));
}
/* Set or clear the noise update flags */
update_flag = FALSE; move16();
st->fupdate_flag = FALSE; move16();
test(),test();
if (sub(vm_sum, UPDATE_THLD) <= 0)
{ test();
if (st->burstcount == 0)
{
update_flag = TRUE; move16();
st->update_cnt = 0; move16();
}
}
else if (L_sub(Ltce, noise_floor_chan[st->shift_state]) > 0)
{ test();
if (sub(ch_enrg_dev, DEV_THLD) < 0)
{ test();
if (p2a_flag == FALSE)
{ test();
if (st->LTP_flag == FALSE)
{
st->update_cnt = add(st->update_cnt, 1); test();
if (sub(st->update_cnt, UPDATE_CNT_THLD) >= 0)
{
update_flag = TRUE; move16();
st->fupdate_flag = TRUE; move16();
}
}
}
}
}
test();
if (sub(st->update_cnt, st->last_update_cnt) == 0)
{
st->hyster_cnt = add(st->hyster_cnt, 1);
}
else
{
st->hyster_cnt = 0; move16();
}
st->last_update_cnt = st->update_cnt; move16();
test();
if (sub(st->hyster_cnt, HYSTER_CNT_THLD) > 0)
{
st->update_cnt = 0; move16();
}
/* Conditionally update the channel noise estimates */
test();
if (update_flag == TRUE)
{
/* Check shift state */ test();
if (st->shift_state == 1)
{
/* get factor to shift ch_enrg[] from state 1 to 0 (noise always state 0) */
tmp = state_change_shift_r[0]; move16();
}
else
{
/* No shift if already state 0 */
tmp = 0; move16();
}
/* Update noise energy estimate */
for (i = LO_CHAN; i <= HI_CHAN; i++)
{ test();
/* integrate over time: en[i] = (1-alpha)*en[i] + alpha*e[n] */
/* (extract with shift compensation for state 1) */
L_Extract (L_shr(st->Lch_enrg[i], tmp), &hi1, &lo1);
Ltmp = Mpy_32_16(hi1, lo1, CNE_SM_FAC);
L_Extract (st->Lch_noise[i], &hi1, &lo1);
st->Lch_noise[i] = L_add(Ltmp, Mpy_32_16(hi1, lo1, ONE_MINUS_CNE_SM_FAC)); move32();
/* Limit low level noise */ test();
if (L_sub(st->Lch_noise[i], MIN_NOISE_ENRG_0) < 0)
{
st->Lch_noise[i] = MIN_NOISE_ENRG_0; move32();
}
}
}
return(ivad);
} /* end of vad2 () */
void A_Refl(
Word16 a[], /* i : Directform coefficients */
Word16 refl[], /* o : Reflection coefficients */
Flag *pOverflow
)
{
/* local variables */
Word16 i;
Word16 j;
Word16 aState[M];
Word16 bState[M];
Word16 normShift;
Word16 normProd;
Word32 L_acc;
Word16 scale;
Word32 L_temp;
Word16 temp;
Word16 mult;
/* initialize states */
for (i = 0; i < M; i++)
{
aState[i] = a[i];
}
/* backward Levinson recursion */
for (i = M - 1; i >= 0; i--)
{
if (abs_s(aState[i]) >= 4096)
{
for (i = 0; i < M; i++)
{
refl[i] = 0;
}
break;
}
refl[i] = shl(aState[i], 3, pOverflow);
L_temp = L_mult(refl[i], refl[i], pOverflow);
L_acc = L_sub(MAX_32, L_temp, pOverflow);
normShift = norm_l(L_acc);
scale = sub(15, normShift, pOverflow);
L_acc = L_shl(L_acc, normShift, pOverflow);
normProd = pv_round(L_acc, pOverflow);
mult = div_s(16384, normProd);
for (j = 0; j < i; j++)
{
L_acc = L_deposit_h(aState[j]);
L_acc = L_msu(L_acc, refl[i], aState[i-j-1], pOverflow);
temp = pv_round(L_acc, pOverflow);
L_temp = L_mult(mult, temp, pOverflow);
L_temp = L_shr_r(L_temp, scale, pOverflow);
if (L_abs(L_temp) > 32767)
{
for (i = 0; i < M; i++)
{
refl[i] = 0;
}
break;
}
bState[j] = extract_l(L_temp);
}
for (j = 0; j < i; j++)
{
aState[j] = bState[j];
}
}
return;
}
/*
**************************************************************************
*
* Function : A_Refl
*
**************************************************************************
*/
void A_Refl(
Word16 a[], /* i : Directform coefficients */
Word16 refl[] /* o : Reflection coefficients */
)
{
/* local variables */
Word16 i,j;
Word16 aState[M];
Word16 bState[M];
Word16 normShift;
Word16 normProd;
Word32 L_acc;
Word16 scale;
Word32 L_temp;
Word16 temp;
Word16 mult;
/* initialize states */
for (i = 0; i < M; i++)
{
aState[i] = a[i]; move16 ();
}
/* backward Levinson recursion */
for (i = M-1; i >= 0; i--)
{
if (sub(abs_s(aState[i]), 4096) >= 0)
{
goto ExitRefl;
}
refl[i] = shl(aState[i], 3);
L_temp = L_mult(refl[i], refl[i]);
L_acc = L_sub(MAX_32, L_temp);
normShift = norm_l(L_acc);
scale = sub(15, normShift);
L_acc = L_shl(L_acc, normShift);
normProd = round(L_acc);
mult = div_s(16384, normProd);
for (j = 0; j < i; j++)
{
L_acc = L_deposit_h(aState[j]);
L_acc = L_msu(L_acc, refl[i], aState[i-j-1]);
temp = round(L_acc);
L_temp = L_mult(mult, temp);
L_temp = L_shr_r(L_temp, scale);
if (L_sub(L_abs(L_temp), 32767) > 0)
{
goto ExitRefl;
}
bState[j] = extract_l(L_temp);
}
for (j = 0; j < i; j++)
{
aState[j] = bState[j]; move16 ();
}
}
return;
ExitRefl:
for (i = 0; i < M; i++)
{
refl[i] = 0; move16 ();
}
}
