gps/GPSResources/tcpmp 0.73/amr/26204/dec_lpc.c

874 lines
21 KiB
C
Raw Normal View History

2019-05-01 12:32:35 +00:00
/*
*===================================================================
* 3GPP AMR Wideband Floating-point Speech Codec
*===================================================================
*/
#include <math.h>
#include "typedef.h"
#include "dec_util.h"
#define M 16 /* Order of LP filter */
#define MP1 (M + 1)
#define M16k 20
#define NC16k (M16k / 2)
#define MU 10923 /* Prediction factor (1.0/3.0) in Q15 */
#define L_MEANBUF 3
#define ALPHA 29491 /* 0. 9 in Q15 */
#define ONE_ALPHA (32768-ALPHA) /* (1.0 - ALPHA) in Q15 */
#define ORDER 16 /* order of linear prediction filter */
#define ISF_GAP 128 /* 50 Hz */
#define INV_LENGTH 2731 /* 1/12 */
extern const Word16 D_ROM_dico1_isf[];
extern const Word16 D_ROM_dico2_isf[];
extern const Word16 D_ROM_dico21_isf_36b[];
extern const Word16 D_ROM_dico22_isf_36b[];
extern const Word16 D_ROM_dico23_isf_36b[];
extern const Word16 D_ROM_dico21_isf[];
extern const Word16 D_ROM_dico22_isf[];
extern const Word16 D_ROM_dico23_isf[];
extern const Word16 D_ROM_dico24_isf[];
extern const Word16 D_ROM_dico25_isf[];
extern const Word16 D_ROM_dico1_isf_noise[];
extern const Word16 D_ROM_dico2_isf_noise[];
extern const Word16 D_ROM_dico3_isf_noise[];
extern const Word16 D_ROM_dico4_isf_noise[];
extern const Word16 D_ROM_dico5_isf_noise[];
extern const Word16 D_ROM_mean_isf[];
extern const Word16 D_ROM_mean_isf_noise[];
extern const Word16 D_ROM_cos[];
/*
* D_LPC_isf_reorder
*
* Parameters:
* isf I/O: vector of isfs
* min_dist I: quantized ISFs (in frequency domain)
* n I: LPC order
*
* Function:
* To make sure that the isfs are properly order and to keep a certain
* minimum distance between consecutive isfs.
*
* Returns:
* void
*/
static void D_LPC_isf_reorder(Word16 *isf, Word16 min_dist, Word16 n)
{
Word32 i, isf_min;
isf_min = min_dist;
for(i = 0; i < n - 1; i++)
{
if(isf[i] < isf_min)
{
isf[i] = (Word16)isf_min;
}
isf_min = isf[i] + min_dist;
}
return;
}
/*
* D_LPC_isf_noise_d
*
* Parameters:
* indice I: indices of the selected codebook entries
* isf_q O: quantized ISFs (in frequency domain)
*
* Function:
* Decoding of ISF parameters
*
* Returns:
* void
*/
void D_LPC_isf_noise_d(Word16 *indice, Word16 *isf_q)
{
Word32 i;
for(i = 0; i < 2; i++)
{
isf_q[i] = D_ROM_dico1_isf_noise[indice[0] * 2 + i];
}
for(i = 0; i < 3; i++)
{
isf_q[i + 2] = D_ROM_dico2_isf_noise[indice[1] * 3 + i];
}
for(i = 0; i < 3; i++)
{
isf_q[i + 5] = D_ROM_dico3_isf_noise[indice[2] * 3 + i];
}
for(i = 0; i < 4; i++)
{
isf_q[i + 8] = D_ROM_dico4_isf_noise[indice[3] * 4 + i];
}
for(i = 0; i < 4; i++)
{
isf_q[i + 12] = D_ROM_dico5_isf_noise[indice[4] * 4 + i];
}
for(i = 0; i < ORDER; i++)
{
isf_q[i] = (Word16)(isf_q[i]+ D_ROM_mean_isf_noise[i]);
}
D_LPC_isf_reorder(isf_q, ISF_GAP, ORDER);
return;
}
/*
* D_LPC_isf_isp_conversion
*
* Parameters:
* isp O: (Q15) isp[m] (range: -1<=val<1)
* isf I: (Q15) isf[m] normalized (range: 0.0 <= val <= 0.5)
* m I: LPC order
*
* Function:
* Transformation isf to isp
*
* ISP are immitance spectral pair in cosine domain (-1 to 1).
* ISF are immitance spectral pair in frequency domain (0 to 6400).
* Returns:
* void
*/
void D_LPC_isf_isp_conversion(Word16 isf[], Word16 isp[], Word16 m)
{
Word32 i, ind, offset, tmp;
for(i = 0; i < m - 1; i++)
{
isp[i] = isf[i];
}
isp[m - 1] = (Word16)(isf[m - 1] << 1);
for(i = 0; i < m; i++)
{
ind = isp[i] >> 7; /* ind = b7-b15 of isf[i] */
offset = isp[i] & 0x007f; /* offset = b0-b6 of isf[i] */
/* isp[i] = table[ind]+ ((table[ind+1]-table[ind])*offset) / 128 */
tmp = (D_ROM_cos[ind + 1] - D_ROM_cos[ind]) * offset;
isp[i] = (Word16)(D_ROM_cos[ind] + (tmp >> 7));
}
return;
}
/*
* D_LPC_isp_pol_get
*
* Parameters:
* isp I: Immitance spectral pairs (cosine domaine)
* f O: the coefficients of F1 or F2
* n I: no of coefficients (m/2)
* k16 I: 16k flag
*
* Function:
* Find the polynomial F1(z) or F2(z) from the ISPs.
* This is performed by expanding the product polynomials:
*
* F1(z) = product ( 1 - 2 isp_i z^-1 + z^-2 )
* i=0,2,4,6,8
* F2(z) = product ( 1 - 2 isp_i z^-1 + z^-2 )
* i=1,3,5,7
*
* where isp_i are the ISPs in the cosine domain.
*
* Returns:
* void
*/
static void D_LPC_isp_pol_get(Word16 *isp, Word32 *f, Word32 n, Word16 k16)
{
Word32 i, j, t0, s1, s2;
Word16 hi, lo;
s1 = 8388608;
s2 = 512;
if(k16)
{
s1 >>= 2;
s2 >>= 2;
}
/* All computation in Q23 */
f[0] = s1; /* f[0] = 1.0; in Q23 */
f[1] = isp[0] * (-s2); /* f[1] = -2.0*isp[0] in Q23 */
f += 2; /* Advance f pointer */
isp += 2; /* Advance isp pointer */
for(i = 2; i <= n; i++)
{
*f = f[ - 2];
for(j = 1; j < i; j++, f--)
{
D_UTIL_l_extract(f[- 1], &hi, &lo);
t0 = D_UTIL_mpy_32_16(hi, lo, *isp); /* t0 = f[-1] * isp */
t0 = (t0 << 1);
*f = (*f - t0); /* *f -= t0 */
*f = (*f + f[ - 2]); /* *f += f[-2] */
}
*f = *f - (*isp * s2); /* *f -= isp << 8 */
f += i; /* Advance f pointer */
isp += 2; /* Advance isp pointer */
}
return;
}
/*
* D_LPC_isp_a_conversion
*
* Parameters:
* isp I: (Q15) Immittance spectral pairs
* a O: (Q12) Predictor coefficients (order = M)
* m I: order of LP filter
*
* Function:
* Convert ISPs to predictor coefficients a[]
*
* Returns:
* void
*/
void D_LPC_isp_a_conversion(Word16 isp[], Word16 a[], Word32 adaptive_scaling,
Word16 m)
{
Word32 j, i, nc, tmax, q, q_sug, r;
Word32 f1[NC16k + 1], f2[NC16k];
Word32 t0;
Word16 hi, lo;
nc = m >> 1;
if(nc > 8)
{
D_LPC_isp_pol_get(&isp[0], f1, nc, 1);
for(i = 0; i <= nc; i++)
{
f1[i] = (f1[i] << 2);
}
}
else
{
D_LPC_isp_pol_get(&isp[0], f1, nc, 0);
}
if(nc > 8)
{
D_LPC_isp_pol_get(&isp[1], f2, nc - 1, 1);
for(i = 0; i <= nc - 1; i++)
{
f2[i] = (f2[i] << 2);
}
}
else
{
D_LPC_isp_pol_get(&isp[1], f2, nc - 1, 0);
}
/*
* Multiply F2(z) by (1 - z^-2)
*/
for(i = nc - 1; i > 1; i--)
{
f2[i] = f2[i] - f2[i - 2]; /* f2[i] -= f2[i-2]; */
}
/*
* Scale F1(z) by (1+isp[m-1]) and F2(z) by (1-isp[m-1])
*/
for(i = 0; i < nc; i++)
{
/* f1[i] *= (1.0 + isp[M-1]); */
D_UTIL_l_extract(f1[i], &hi, &lo);
t0 = D_UTIL_mpy_32_16(hi, lo, isp[m - 1]);
f1[i] = f1[i] + t0;
/* f2[i] *= (1.0 - isp[M-1]); */
D_UTIL_l_extract(f2[i], &hi, &lo);
t0 = D_UTIL_mpy_32_16(hi, lo, isp[m - 1]);
f2[i] = f2[i] - t0;
}
/*
* A(z) = (F1(z)+F2(z))/2
* F1(z) is symmetric and F2(z) is antisymmetric
*/
/* a[0] = 1.0; */
a[0] = 4096;
tmax = 1;
for(i = 1, j = m - 1; i < nc; i++, j--)
{
/* a[i] = 0.5*(f1[i] + f2[i]); */
t0 = f1[i] + f2[i]; /* f1[i] + f2[i] */
tmax |= labs(t0);
a[i] = (Word16)((t0 + 0x800) >> 12); /* from Q23 to Q12 and * 0.5 */
/* a[j] = 0.5*(f1[i] - f2[i]); */
t0 = (f1[i] - f2[i]); /* f1[i] - f2[i] */
tmax |= labs(t0);
a[j] = (Word16)((t0 + 0x800) >> 12); /* from Q23 to Q12 and * 0.5 */
}
/* rescale data if overflow has occured and reprocess the loop */
if (adaptive_scaling)
{
q = 4 - D_UTIL_norm_l(tmax); /* adaptive scaling enabled */
}
else
{
q = 0; /* adaptive scaling disabled */
}
if (q > 0)
{
q_sug = 12 + q;
r = 1 << (q_sug - 1);
for (i = 1, j = m - 1; i < nc; i++, j--)
{
/* a[i] = 0.5*(f1[i] + f2[i]); */
t0 = f1[i] + f2[i]; /* f1[i] + f2[i] */
a[i] = (Word16)((t0 + r) >> q_sug); /* from Q23 to Q12 and * 0.5 */
/* a[j] = 0.5*(f1[i] - f2[i]); */
t0 = f1[i] - f2[i]; /* f1[i] - f2[i] */
a[j] = (Word16)((t0 + r) >> q_sug); /* from Q23 to Q12 and * 0.5 */
}
a[0] = (Word16)(a[0] >> q);
}
else
{
q_sug = 12;
r = 1 << (q_sug - 1);
q = 0;
}
/* a[NC] = 0.5*f1[NC]*(1.0 + isp[M-1]); */
D_UTIL_l_extract(f1[nc], &hi, &lo);
t0 = D_UTIL_mpy_32_16(hi, lo, isp[m - 1]);
t0 = f1[nc] + t0;
a[nc] = (Word16)((t0 + r) >> q_sug); /* from Q23 to Q12 and * 0.5 */
/* a[m] = isp[m-1]; */
a[m] = (Word16)((isp[m - 1] >> (2 + q)) + 1); /* from Q15 to Q12 */
a[m] = (Word16)(a[m] >> 1);
return;
}
/*
* D_LPC_a_weight
*
* Parameters:
* a I: LP filter coefficients
* ap O: weighted LP filter coefficients
* gamma I: weighting factor
* m I: order of LP filter
*
* Function:
* Weighting of LP filter coefficients, ap[i] = a[i] * (gamma^i).
*
* Returns:
* void
*/
void D_LPC_a_weight(Word16 a[], Word16 ap[], Word16 gamma, Word16 m)
{
Word32 i, fac;
ap[0] = a[0];
fac = gamma;
for(i = 1; i < m; i++)
{
ap[i] = (Word16)(((a[i] * fac) + 0x4000) >> 15);
fac = ((fac * gamma) + 0x4000) >> 15;
}
ap[m] = (Word16)(((a[m] * fac) + 0x4000) >> 15);
return;
}
/*
* D_LPC_isf_2s3s_decode
*
* Parameters:
* indice I: quantisation indices
* isf_q O: quantised ISFs in the cosine domain
* past_isfq I/O: past ISF quantizer
* isfold I: past quantised ISF
* isf_buf O: isf buffer
* bfi I: Bad frame indicator
*
* Function:
* Decoding of ISF parameters.
*
* Returns:
* void
*/
void D_LPC_isf_2s3s_decode(Word16 *indice, Word16 *isf_q, Word16 *past_isfq,
Word16 *isfold, Word16 *isf_buf, Word16 bfi)
{
Word32 ref_isf[M];
Word32 L_tmp, i, j;
Word16 tmp;
if(bfi == 0) /* Good frame */
{
for(i = 0; i < 9; i++)
{
isf_q[i] = D_ROM_dico1_isf[indice[0] * 9 + i];
}
for(i = 0; i < 7; i++)
{
isf_q[i + 9] = D_ROM_dico2_isf[indice[1] * 7 + i];
}
for(i = 0; i < 5; i++)
{
isf_q[i] =
(Word16)(isf_q[i] + D_ROM_dico21_isf_36b[indice[2] * 5 + i]);
}
for(i = 0; i < 4; i++)
{
isf_q[i + 5] =
(Word16)(isf_q[i + 5] + D_ROM_dico22_isf_36b[indice[3] * 4 + i]);
}
for(i = 0; i < 7; i++)
{
isf_q[i + 9] =
(Word16)(isf_q[i + 9] + D_ROM_dico23_isf_36b[indice[4] * 7 + i]);
}
for(i = 0; i < ORDER; i++)
{
tmp = isf_q[i];
isf_q[i] =
(Word16)((tmp + D_ROM_mean_isf[i]) + ((MU * past_isfq[i]) >> 15));
past_isfq[i] = tmp;
}
for(i = 0; i < M; i++)
{
for(j = (L_MEANBUF - 1); j > 0; j--)
{
isf_buf[j * M + i] = isf_buf[(j - 1) * M + i];
}
isf_buf[i] = isf_q[i];
}
}
else
{ /* bad frame */
for(i = 0; i < M; i++)
{
L_tmp = D_ROM_mean_isf[i];
for(j = 0; j < L_MEANBUF; j++)
{
L_tmp = L_tmp + isf_buf[j * M + i];
}
ref_isf[i] = (L_tmp + 0x1) >> 2;
}
/* use the past ISFs slightly shifted towards their mean */
for(i = 0; i < ORDER; i++)
{
isf_q[i] = (Word16)((((ALPHA * isfold[i]) >> 15) +
((ONE_ALPHA * ref_isf[i]) >> 15)));
}
/* estimate past quantized residual to be used in next frame */
for(i = 0; i < ORDER; i++)
{
/* predicted ISF */
L_tmp = ref_isf[i] + ((past_isfq[i] * MU) >> 15);
/* past_isfq[i] *= 0.5 */
past_isfq[i] = (Word16)((isf_q[i] - L_tmp) >> 1);
}
}
D_LPC_isf_reorder(isf_q, ISF_GAP, ORDER);
return;
}
/*
* D_LPC_isf_2s5s_decode
*
* Parameters:
* indice I: quantization indices
* isf_q O: quantized ISFs in the cosine domain
* past_isfq I/O: past ISF quantizer
* isfold I: past quantized ISF
* isf_buf O: isf buffer
* bfi I: Bad frame indicator
*
* Function:
* Decoding of ISF parameters.
*
* Returns:
* void
*/
void D_LPC_isf_2s5s_decode(Word16 *indice, Word16 *isf_q, Word16 *past_isfq,
Word16 *isfold, Word16 *isf_buf, Word16 bfi)
{
Word32 ref_isf[M];
Word32 i, j, L_tmp;
Word16 tmp;
if(bfi == 0) /* Good frame */
{
for(i = 0; i < 9; i++)
{
isf_q[i] = D_ROM_dico1_isf[indice[0] * 9 + i];
}
for(i = 0; i < 7; i++)
{
isf_q[i + 9] = D_ROM_dico2_isf[indice[1] * 7 + i];
}
for(i = 0; i < 3; i++)
{
isf_q[i] = (Word16)(isf_q[i] + D_ROM_dico21_isf[indice[2] * 3 + i]);
}
for(i = 0; i < 3; i++)
{
isf_q[i + 3] =
(Word16)(isf_q[i + 3] + D_ROM_dico22_isf[indice[3] * 3 + i]);
}
for(i = 0; i < 3; i++)
{
isf_q[i + 6] =
(Word16)(isf_q[i + 6] + D_ROM_dico23_isf[indice[4] * 3 + i]);
}
for(i = 0; i < 3; i++)
{
isf_q[i + 9] =
(Word16)(isf_q[i + 9] + D_ROM_dico24_isf[indice[5] * 3 + i]);
}
for(i = 0; i < 4; i++)
{
isf_q[i + 12] =
(Word16)(isf_q[i + 12] + D_ROM_dico25_isf[indice[6] * 4 + i]);
}
for(i = 0; i < ORDER; i++)
{
tmp = isf_q[i];
isf_q[i] =
(Word16)((tmp + D_ROM_mean_isf[i]) + ((MU * past_isfq[i]) >> 15));
past_isfq[i] = tmp;
}
for(i = 0; i < M; i++)
{
for(j = (L_MEANBUF - 1); j > 0; j--)
{
isf_buf[j * M + i] = isf_buf[(j - 1) * M + i];
}
isf_buf[i] = isf_q[i];
}
}
else
{ /* bad frame */
for(i = 0; i < M; i++)
{
L_tmp = D_ROM_mean_isf[i];
for(j = 0; j < L_MEANBUF; j++)
{
L_tmp = L_tmp + isf_buf[j * M + i];
}
ref_isf[i] = (L_tmp + 0x1) >> 2;
}
/* use the past ISFs slightly shifted towards their mean */
for(i = 0; i < ORDER; i++)
{
isf_q[i] = (Word16)(((ALPHA * isfold[i]) >> 15) +
((ONE_ALPHA * ref_isf[i]) >> 15));
}
/* estimate past quantized residual to be used in next frame */
for(i = 0; i < ORDER; i++)
{
/* predicted ISF */
L_tmp = ref_isf[i] + ((past_isfq[i] * MU) >> 15);
/* past_isfq[i] *= 0.5 */
past_isfq[i] = (Word16)((isf_q[i] - L_tmp) >> 1);
}
}
D_LPC_isf_reorder(isf_q, ISF_GAP, ORDER);
return;
}
/*
* D_LPC_int_isp_find
*
* Parameters:
* isp_old I: isps from past frame
* isp_new I: isps from present frame
* frac I: (Q15) fraction for 3 first subfr
* Az O: LP coefficients in 4 subframes
*
* Function:
* Find the interpolated ISP parameters for all subframes.
*
* Returns:
* void
*/
void D_LPC_int_isp_find(Word16 isp_old[], Word16 isp_new[],
const Word16 frac[], Word16 Az[])
{
Word32 tmp, i, k, fac_old, fac_new;
Word16 isp[M];
for(k = 0; k < 3; k++)
{
fac_new = frac[k];
fac_old = (32767 - fac_new) + 1; /* 1.0 - fac_new */
for(i = 0; i < M; i++)
{
tmp = isp_old[i] * fac_old;
tmp += isp_new[i] * fac_new;
isp[i] = (Word16)((tmp + 0x4000) >> 15);
}
D_LPC_isp_a_conversion(isp, Az, 0, M);
Az += MP1;
}
/* 4th subframe: isp_new (frac=1.0) */
D_LPC_isp_a_conversion(isp_new, Az, 0, M);
return;
}
/*
* D_LPC_isf_extrapolation
*
* Parameters:
* HfIsf I/O: ISF vector
*
* Function:
* Conversion of 16th-order 12.8kHz ISF vector
* into 20th-order 16kHz ISF vector
*
* Returns:
* void
*/
void D_LPC_isf_extrapolation(Word16 HfIsf[])
{
Word32 IsfDiff[M - 2];
Word32 IsfCorr[3];
Word32 tmp, tmp2, tmp3, mean, i;
Word32 MaxCorr, exp, exp2, coeff;
Word16 hi, lo;
HfIsf[M16k - 1] = HfIsf[M - 1];
/* Difference vector */
for(i = 1; i < M - 1; i++)
{
IsfDiff[i - 1] = HfIsf[i] - HfIsf[i - 1];
}
tmp = 0;
/* Mean of difference vector */
for(i = 3; i < (M - 1); i++)
{
tmp = tmp + (IsfDiff[i - 1] * INV_LENGTH);
}
mean = (tmp + 0x4000) >> 15;
IsfCorr[0] = 0;
IsfCorr[1] = 0;
IsfCorr[2] = 0;
tmp = 0;
for(i = 0; i < M - 2; i++)
{
if(IsfDiff[i] > tmp)
{
tmp = IsfDiff[i];
}
}
exp = D_UTIL_norm_s((Word16)tmp);
for(i = 0; i < M - 2; i++)
{
IsfDiff[i] = IsfDiff[i] << exp;
}
mean = mean << exp;
for(i = 7; i < M - 2; i++)
{
tmp2 = IsfDiff[i] - mean;
tmp3 = IsfDiff[i - 2] - mean;
tmp = (tmp2 * tmp3) << 1;
D_UTIL_l_extract(tmp, &hi, &lo);
tmp = D_UTIL_mpy_32(hi, lo, hi, lo);
IsfCorr[0] = (IsfCorr[0] + tmp);
}
for(i = 7; i < M - 2; i++)
{
tmp2 = IsfDiff[i] - mean;
tmp3 = IsfDiff[i - 3] - mean;
tmp = (tmp2 * tmp3) << 1;
D_UTIL_l_extract(tmp, &hi, &lo);
tmp = D_UTIL_mpy_32(hi, lo, hi, lo);
IsfCorr[1] = (IsfCorr[1] + tmp);
}
for(i = 7; i < M - 2; i++)
{
tmp2 = IsfDiff[i] - mean;
tmp3 = IsfDiff[i - 4] - mean;
tmp = (tmp2 * tmp3) << 1;
D_UTIL_l_extract(tmp, &hi, &lo);
tmp = D_UTIL_mpy_32(hi, lo, hi, lo);
IsfCorr[2] = (IsfCorr[2] + tmp);
}
if(IsfCorr[0] > IsfCorr[1])
{
MaxCorr = 0;
}
else
{
MaxCorr = 1;
}
if(IsfCorr[2] > IsfCorr[MaxCorr])
{
MaxCorr = 2;
}
MaxCorr = MaxCorr + 1; /* Maximum correlation of difference vector */
for(i = M - 1; i < (M16k - 1); i++)
{
tmp = (HfIsf[i - 1 - MaxCorr] - HfIsf[i - 2 - MaxCorr]);
HfIsf[i] = (Word16)(HfIsf[i - 1] + tmp);
}
/* tmp=7965+(HfIsf[2]-HfIsf[3]-HfIsf[4])/6; */
tmp = HfIsf[4] + HfIsf[3];
tmp = HfIsf[2] - tmp;
tmp = (tmp * 5461) >> 15;
tmp = tmp + 20390;
if(tmp > 19456)
{ /* Maximum value of ISF should be at most 7600 Hz */
tmp = 19456;
}
tmp = tmp - HfIsf[M - 2];
tmp2 = HfIsf[M16k - 2] - HfIsf[M - 2];
exp2 = D_UTIL_norm_s((Word16)tmp2);
exp = D_UTIL_norm_s((Word16)tmp);
exp = exp - 1;
tmp = tmp << exp;
tmp2 = tmp2 << exp2;
coeff = (tmp << 15) / tmp2; /* Coefficient for stretching the ISF vector */
exp = exp2 - exp;
if(exp >= 0)
{
for(i = M - 1; i < M16k - 1; i++)
{
tmp = ((HfIsf[i] - HfIsf[i - 1]) * coeff) >> 15;
IsfDiff[i - (M - 1)] = tmp << exp;
}
}
else
{
exp = 15 - exp;
for(i = M - 1; i < M16k - 1; i++)
{
IsfDiff[i - (M - 1)] = ((HfIsf[i] - HfIsf[i - 1]) * coeff) >> exp;
}
}
for(i = M; i < (M16k - 1); i++)
{
/* The difference between ISF(n) and ISF(n-2) should be at least 500 Hz */
tmp = ((IsfDiff[i - (M - 1)] + IsfDiff[i - M]) - 1280);
if(tmp < 0)
{
if(IsfDiff[i - (M - 1)] > IsfDiff[i - M])
{
IsfDiff[i - M] = (1280 - IsfDiff[i - (M - 1)]);
}
else
{
IsfDiff[i - (M - 1)] = (1280 - IsfDiff[i - M]);
}
}
}
for(i = M - 1; i < M16k - 1; i++)
{
HfIsf[i] = (Word16)(HfIsf[i - 1] + IsfDiff[i - (M - 1)]);
}
for(i = 0; i < M16k - 1; i++)
{
HfIsf[i] = (Word16)((HfIsf[i] * 13107) >> 14);
/* Scale the ISF vector correctly for 16000 kHz */
}
D_LPC_isf_isp_conversion(HfIsf, HfIsf, M16k);
return;
}