zqz/platform-external-webrtc
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Some general optimization in NS.

Browse Source 
No big effort in introducing new style.
Speed improved ~2%.
Bit exact.
Will introduce mulpty-and-accumulate and sqrt_floor next, which increase speed another 2% or so.

Note: In function WebRtcNsx_DataAnalysis, did the block separation because I found one "if" case is more frequent than "else" within a for loop; rest is kind of code re-aligning.
Review URL: http://webrtc-codereview.appspot.com/181002

git-svn-id: http://webrtc.googlecode.com/svn/trunk@692 4adac7df-926f-26a2-2b94-8c16560cd09d
This commit is contained in:
kma@webrtc.org
2011-10-05 17:10:06 +00:00
parent a58224f9f0
commit bf39ff4271
1 changed files with 197 additions and 183 deletions
Download Patch File Download Diff File Expand all files Collapse all files

380
src/modules/audio_processing/ns/main/source/nsx_core.c
View File

@ -1429,53 +1429,54 @@ void WebRtcNsx_SpeechNoiseProb(NsxInst_t *inst, WebRtc_UWord16 *nonSpeechProbFin
tmp16, 14); // Q14
//final speech probability: combine prior model with LR factor:
for (i = 0; i < inst->magnLen; i++)
{
memset(nonSpeechProbFinal, 0, sizeof(WebRtc_UWord16) * inst->magnLen);
if (inst->priorNonSpeechProb > 0) {
for (i = 0; i < inst->magnLen; i++) {
// FLOAT code
// invLrt = exp(inst->logLrtTimeAvg[i]);
// invLrt = inst->priorSpeechProb * invLrt;
// nonSpeechProbFinal[i] = (1.0 - inst->priorSpeechProb) / (1.0 - inst->priorSpeechProb + invLrt);
// invLrt = (1.0 - inst->priorNonSpeechProb) * invLrt;
// nonSpeechProbFinal[i] = inst->priorNonSpeechProb / (inst->priorNonSpeechProb + invLrt);
nonSpeechProbFinal[i] = 0; // Q8
if ((inst->logLrtTimeAvgW32[i] < 65300) && (inst->priorNonSpeechProb > 0))
{
tmp32no1 = WEBRTC_SPL_RSHIFT_W32(WEBRTC_SPL_MUL(inst->logLrtTimeAvgW32[i], 23637),
14); // Q12
intPart = (WebRtc_Word16)WEBRTC_SPL_RSHIFT_W32(tmp32no1, 12);
if (intPart < -8)
{
intPart = -8;
}
frac = (WebRtc_Word16)(tmp32no1 & 0x00000fff); // Q12
// Quadratic approximation of 2^frac
tmp32no2 = WEBRTC_SPL_RSHIFT_W32(frac * frac * 44, 19); // Q12
tmp32no2 += WEBRTC_SPL_MUL_16_16_RSFT(frac, 84, 7); // Q12
invLrtFX = WEBRTC_SPL_LSHIFT_W32(1, 8 + intPart)
+ WEBRTC_SPL_SHIFT_W32(tmp32no2, intPart - 4); // Q8
if (inst->logLrtTimeAvgW32[i] < 65300) {
tmp32no1 = WEBRTC_SPL_RSHIFT_W32(WEBRTC_SPL_MUL(inst->logLrtTimeAvgW32[i], 23637),
14); // Q12
intPart = (WebRtc_Word16)WEBRTC_SPL_RSHIFT_W32(tmp32no1, 12);
if (intPart < -8) {
intPart = -8;
}
frac = (WebRtc_Word16)(tmp32no1 & 0x00000fff); // Q12
normTmp = WebRtcSpl_NormW32(invLrtFX);
normTmp2 = WebRtcSpl_NormW16((16384 - inst->priorNonSpeechProb));
if (normTmp + normTmp2 < 15)
{
invLrtFX = WEBRTC_SPL_RSHIFT_W32(invLrtFX, 15 - normTmp2 - normTmp); // Q(normTmp+normTmp2-7)
tmp32no1 = WEBRTC_SPL_MUL_32_16(invLrtFX, (16384 - inst->priorNonSpeechProb)); // Q(normTmp+normTmp2+7)
invLrtFX = WEBRTC_SPL_SHIFT_W32(tmp32no1, 7 - normTmp - normTmp2); // Q14
} else
{
tmp32no1 = WEBRTC_SPL_MUL_32_16(invLrtFX, (16384 - inst->priorNonSpeechProb)); // Q22
invLrtFX = WEBRTC_SPL_RSHIFT_W32(tmp32no1, 8); // Q14
// Quadratic approximation of 2^frac
tmp32no2 = WEBRTC_SPL_RSHIFT_W32(frac * frac * 44, 19); // Q12
tmp32no2 += WEBRTC_SPL_MUL_16_16_RSFT(frac, 84, 7); // Q12
invLrtFX = WEBRTC_SPL_LSHIFT_W32(1, 8 + intPart)
+ WEBRTC_SPL_SHIFT_W32(tmp32no2, intPart - 4); // Q8
normTmp = WebRtcSpl_NormW32(invLrtFX);
normTmp2 = WebRtcSpl_NormW16((16384 - inst->priorNonSpeechProb));
if (normTmp + normTmp2 >= 7) {
if (normTmp + normTmp2 < 15) {
invLrtFX = WEBRTC_SPL_RSHIFT_W32(invLrtFX, 15 - normTmp2 - normTmp);
// Q(normTmp+normTmp2-7)
tmp32no1 = WEBRTC_SPL_MUL_32_16(invLrtFX, (16384 - inst->priorNonSpeechProb));
// Q(normTmp+normTmp2+7)
invLrtFX = WEBRTC_SPL_SHIFT_W32(tmp32no1, 7 - normTmp - normTmp2); // Q14
} else {
tmp32no1 = WEBRTC_SPL_MUL_32_16(invLrtFX, (16384 - inst->priorNonSpeechProb)); // Q22
invLrtFX = WEBRTC_SPL_RSHIFT_W32(tmp32no1, 8); // Q14
}
tmp32no1 = WEBRTC_SPL_LSHIFT_W32((WebRtc_Word32)inst->priorNonSpeechProb, 8); // Q22
nonSpeechProbFinal[i] = (WebRtc_UWord16)WEBRTC_SPL_DIV(tmp32no1,
(WebRtc_Word32)inst->priorNonSpeechProb
+ invLrtFX); // Q8
if (7 - normTmp - normTmp2 > 0)
{
nonSpeechProbFinal[i] = 0; // Q8
}
}
}
}
}
}
@ -1570,46 +1571,8 @@ void WebRtcNsx_DataAnalysis(NsxInst_t *inst, short *speechFrame, WebRtc_UWord16
inst->sumMagn = (WebRtc_UWord32)magnU16[0]; // Q(normData-stages)
inst->sumMagn += (WebRtc_UWord32)magnU16[inst->anaLen2];
// Gather information during startup for noise parameter estimation
if (inst->blockIndex < END_STARTUP_SHORT)
{
// Switch initMagnEst to Q(minNorm-stages)
inst->initMagnEst[0] = WEBRTC_SPL_RSHIFT_U32(inst->initMagnEst[0],
right_shifts_in_initMagnEst);
inst->initMagnEst[inst->anaLen2] =
WEBRTC_SPL_RSHIFT_U32(inst->initMagnEst[inst->anaLen2],
right_shifts_in_initMagnEst); // Q(minNorm-stages)
// Shift magnU16 to same domain as initMagnEst
tmpU32no1 = WEBRTC_SPL_RSHIFT_W32((WebRtc_UWord32)magnU16[0],
right_shifts_in_magnU16); // Q(minNorm-stages)
tmpU32no2 = WEBRTC_SPL_RSHIFT_W32((WebRtc_UWord32)magnU16[inst->anaLen2],
right_shifts_in_magnU16); // Q(minNorm-stages)
// Update initMagnEst
inst->initMagnEst[0] += tmpU32no1; // Q(minNorm-stages)
inst->initMagnEst[inst->anaLen2] += tmpU32no2; // Q(minNorm-stages)
log2 = 0;
if (magnU16[inst->anaLen2])
{
// Calculate log2(magnU16[inst->anaLen2])
zeros = WebRtcSpl_NormU32((WebRtc_UWord32)magnU16[inst->anaLen2]);
frac = (WebRtc_Word16)((((WebRtc_UWord32)magnU16[inst->anaLen2] << zeros) &
0x7FFFFFFF) >> 23); // Q8
// log2(magnU16(i)) in Q8
assert(frac < 256);
log2 = (WebRtc_Word16)(((31 - zeros) << 8) + WebRtcNsx_kLogTableFrac[frac]);
}
sum_log_magn = (WebRtc_Word32)log2; // Q8
// sum_log_i_log_magn in Q17
sum_log_i_log_magn = (WEBRTC_SPL_MUL_16_16(kLogIndex[inst->anaLen2], log2) >> 3);
}
for (i = 1; i < inst->anaLen2; i++)
{
j = WEBRTC_SPL_LSHIFT_W16(i, 1);
if (inst->blockIndex >= END_STARTUP_SHORT) {
for (i = 1, j = 2; i < inst->anaLen2; i += 1, j += 2) {
inst->real[i] = realImag[j];
inst->imag[i] = -realImag[j + 1];
// magnitude spectrum
@ -1620,126 +1583,177 @@ void WebRtcNsx_DataAnalysis(NsxInst_t *inst, short *speechFrame, WebRtc_UWord16
magnU16[i] = (WebRtc_UWord16)WebRtcSpl_Sqrt(tmpU32no1); // Q(normData-stages)
inst->sumMagn += (WebRtc_UWord32)magnU16[i]; // Q(normData-stages)
if (inst->blockIndex < END_STARTUP_SHORT)
}
} else {
//
// Gather information during startup for noise parameter estimation
//
// Switch initMagnEst to Q(minNorm-stages)
inst->initMagnEst[0] = WEBRTC_SPL_RSHIFT_U32(inst->initMagnEst[0],
right_shifts_in_initMagnEst);
inst->initMagnEst[inst->anaLen2] =
WEBRTC_SPL_RSHIFT_U32(inst->initMagnEst[inst->anaLen2],
right_shifts_in_initMagnEst); // Q(minNorm-stages)
// Shift magnU16 to same domain as initMagnEst
tmpU32no1 = WEBRTC_SPL_RSHIFT_W32((WebRtc_UWord32)magnU16[0],
right_shifts_in_magnU16); // Q(minNorm-stages)
tmpU32no2 = WEBRTC_SPL_RSHIFT_W32((WebRtc_UWord32)magnU16[inst->anaLen2],
right_shifts_in_magnU16); // Q(minNorm-stages)
// Update initMagnEst
inst->initMagnEst[0] += tmpU32no1; // Q(minNorm-stages)
inst->initMagnEst[inst->anaLen2] += tmpU32no2; // Q(minNorm-stages)
log2 = 0;
if (magnU16[inst->anaLen2])
{
// Calculate log2(magnU16[inst->anaLen2])
zeros = WebRtcSpl_NormU32((WebRtc_UWord32)magnU16[inst->anaLen2]);
frac = (WebRtc_Word16)((((WebRtc_UWord32)magnU16[inst->anaLen2] << zeros) &
0x7FFFFFFF) >> 23); // Q8
// log2(magnU16(i)) in Q8
assert(frac < 256);
log2 = (WebRtc_Word16)(((31 - zeros) << 8) + WebRtcNsx_kLogTableFrac[frac]);
}
sum_log_magn = (WebRtc_Word32)log2; // Q8
// sum_log_i_log_magn in Q17
sum_log_i_log_magn = (WEBRTC_SPL_MUL_16_16(kLogIndex[inst->anaLen2], log2) >> 3);
for (i = 1, j = 2; i < inst->anaLen2; i += 1, j += 2)
{
inst->real[i] = realImag[j];
inst->imag[i] = -realImag[j + 1];
// magnitude spectrum
// energy in Q(2*(normData-stages))
tmpU32no1 = (WebRtc_UWord32)WEBRTC_SPL_MUL_16_16(realImag[j], realImag[j]);
tmpU32no1 += (WebRtc_UWord32)WEBRTC_SPL_MUL_16_16(realImag[j + 1], realImag[j + 1]);
inst->magnEnergy += tmpU32no1; // Q(2*(normData-stages))
magnU16[i] = (WebRtc_UWord16)WebRtcSpl_Sqrt(tmpU32no1); // Q(normData-stages)
inst->sumMagn += (WebRtc_UWord32)magnU16[i]; // Q(normData-stages)
// Switch initMagnEst to Q(minNorm-stages)
inst->initMagnEst[i] = WEBRTC_SPL_RSHIFT_U32(inst->initMagnEst[i],
right_shifts_in_initMagnEst);
// Shift magnU16 to same domain as initMagnEst, i.e., Q(minNorm-stages)
tmpU32no1 = WEBRTC_SPL_RSHIFT_W32((WebRtc_UWord32)magnU16[i],
right_shifts_in_magnU16);
// Update initMagnEst
inst->initMagnEst[i] += tmpU32no1; // Q(minNorm-stages)
if (i >= kStartBand)
{
// Switch initMagnEst to Q(minNorm-stages)
inst->initMagnEst[i] = WEBRTC_SPL_RSHIFT_U32(inst->initMagnEst[i],
right_shifts_in_initMagnEst);
// Shift magnU16 to same domain as initMagnEst, i.e., Q(minNorm-stages)
tmpU32no1 = WEBRTC_SPL_RSHIFT_W32((WebRtc_UWord32)magnU16[i],
right_shifts_in_magnU16);
// Update initMagnEst
inst->initMagnEst[i] += tmpU32no1; // Q(minNorm-stages)
if (i >= kStartBand)
{
// For pink noise estimation. Collect data neglecting lower frequency band
log2 = 0;
if (magnU16[i])
{
zeros = WebRtcSpl_NormU32((WebRtc_UWord32)magnU16[i]);
frac = (WebRtc_Word16)((((WebRtc_UWord32)magnU16[i] << zeros) &
0x7FFFFFFF) >> 23);
// log2(magnU16(i)) in Q8
assert(frac < 256);
log2 = (WebRtc_Word16)(((31 - zeros) << 8)
+ WebRtcNsx_kLogTableFrac[frac]);
}
sum_log_magn += (WebRtc_Word32)log2; // Q8
// sum_log_i_log_magn in Q17
sum_log_i_log_magn += (WEBRTC_SPL_MUL_16_16(kLogIndex[i], log2) >> 3);
}
// For pink noise estimation. Collect data neglecting lower frequency band
log2 = 0;
if (magnU16[i])
{
zeros = WebRtcSpl_NormU32((WebRtc_UWord32)magnU16[i]);
frac = (WebRtc_Word16)((((WebRtc_UWord32)magnU16[i] << zeros) &
0x7FFFFFFF) >> 23);
// log2(magnU16(i)) in Q8
assert(frac < 256);
log2 = (WebRtc_Word16)(((31 - zeros) << 8)
+ WebRtcNsx_kLogTableFrac[frac]);
}
sum_log_magn += (WebRtc_Word32)log2; // Q8
// sum_log_i_log_magn in Q17
sum_log_i_log_magn += (WEBRTC_SPL_MUL_16_16(kLogIndex[i], log2) >> 3);
}
}
}
//compute simplified noise model during startup
if (inst->blockIndex < END_STARTUP_SHORT)
{
// Estimate White noise
// Switch whiteNoiseLevel to Q(minNorm-stages)
inst->whiteNoiseLevel = WEBRTC_SPL_RSHIFT_U32(inst->whiteNoiseLevel,
right_shifts_in_initMagnEst);
//
//compute simplified noise model during startup
//
// Update the average magnitude spectrum, used as noise estimate.
tmpU32no1 = WEBRTC_SPL_UMUL_32_16(inst->sumMagn, inst->overdrive);
tmpU32no1 = WEBRTC_SPL_RSHIFT_U32(tmpU32no1, inst->stages + 8);
// Estimate White noise
// Replacing division above with 'stages' shifts
// Shift to same Q-domain as whiteNoiseLevel
tmpU32no1 = WEBRTC_SPL_RSHIFT_U32(tmpU32no1, right_shifts_in_magnU16);
// This operation is safe from wrap around as long as END_STARTUP_SHORT < 128
assert(END_STARTUP_SHORT < 128);
inst->whiteNoiseLevel += tmpU32no1; // Q(minNorm-stages)
// Switch whiteNoiseLevel to Q(minNorm-stages)
inst->whiteNoiseLevel = WEBRTC_SPL_RSHIFT_U32(inst->whiteNoiseLevel,
right_shifts_in_initMagnEst);
// Estimate Pink noise parameters
// Denominator used in both parameter estimates.
// The value is only dependent on the size of the frequency band (kStartBand)
// and to reduce computational complexity stored in a table (kDeterminantEstMatrix[])
assert(kStartBand < 66);
matrix_determinant = kDeterminantEstMatrix[kStartBand]; // Q0
sum_log_i = kSumLogIndex[kStartBand]; // Q5
sum_log_i_square = kSumSquareLogIndex[kStartBand]; // Q2
if (inst->fs == 8000)
{
// Adjust values to shorter blocks in narrow band.
tmp_1_w32 = (WebRtc_Word32)matrix_determinant;
tmp_1_w32 += WEBRTC_SPL_MUL_16_16_RSFT(kSumLogIndex[65], sum_log_i, 9);
tmp_1_w32 -= WEBRTC_SPL_MUL_16_16_RSFT(kSumLogIndex[65], kSumLogIndex[65], 10);
tmp_1_w32 -= WEBRTC_SPL_LSHIFT_W32((WebRtc_Word32)sum_log_i_square, 4);
tmp_1_w32 -= WEBRTC_SPL_MUL_16_16_RSFT((WebRtc_Word16)(inst->magnLen
- kStartBand), kSumSquareLogIndex[65], 2);
matrix_determinant = (WebRtc_Word16)tmp_1_w32;
sum_log_i -= kSumLogIndex[65]; // Q5
sum_log_i_square -= kSumSquareLogIndex[65]; // Q2
}
// Update the average magnitude spectrum, used as noise estimate.
tmpU32no1 = WEBRTC_SPL_UMUL_32_16(inst->sumMagn, inst->overdrive);
tmpU32no1 = WEBRTC_SPL_RSHIFT_U32(tmpU32no1, inst->stages + 8);
// Necessary number of shifts to fit sum_log_magn in a word16
zeros = 16 - WebRtcSpl_NormW32(sum_log_magn);
if (zeros < 0)
{
zeros = 0;
}
tmp_1_w32 = WEBRTC_SPL_LSHIFT_W32(sum_log_magn, 1); // Q9
sum_log_magn_u16 = (WebRtc_UWord16)WEBRTC_SPL_RSHIFT_W32(tmp_1_w32, zeros);//Q(9-zeros)
// Replacing division above with 'stages' shifts
// Shift to same Q-domain as whiteNoiseLevel
tmpU32no1 = WEBRTC_SPL_RSHIFT_U32(tmpU32no1, right_shifts_in_magnU16);
// This operation is safe from wrap around as long as END_STARTUP_SHORT < 128
assert(END_STARTUP_SHORT < 128);
inst->whiteNoiseLevel += tmpU32no1; // Q(minNorm-stages)
// Calculate and update pinkNoiseNumerator. Result in Q11.
tmp_2_w32 = WEBRTC_SPL_MUL_16_U16(sum_log_i_square, sum_log_magn_u16); // Q(11-zeros)
tmpU32no1 = WEBRTC_SPL_RSHIFT_U32((WebRtc_UWord32)sum_log_i_log_magn, 12); // Q5
// Estimate Pink noise parameters
// Denominator used in both parameter estimates.
// The value is only dependent on the size of the frequency band (kStartBand)
// and to reduce computational complexity stored in a table (kDeterminantEstMatrix[])
assert(kStartBand < 66);
matrix_determinant = kDeterminantEstMatrix[kStartBand]; // Q0
sum_log_i = kSumLogIndex[kStartBand]; // Q5
sum_log_i_square = kSumSquareLogIndex[kStartBand]; // Q2
if (inst->fs == 8000)
{
// Adjust values to shorter blocks in narrow band.
tmp_1_w32 = (WebRtc_Word32)matrix_determinant;
tmp_1_w32 += WEBRTC_SPL_MUL_16_16_RSFT(kSumLogIndex[65], sum_log_i, 9);
tmp_1_w32 -= WEBRTC_SPL_MUL_16_16_RSFT(kSumLogIndex[65], kSumLogIndex[65], 10);
tmp_1_w32 -= WEBRTC_SPL_LSHIFT_W32((WebRtc_Word32)sum_log_i_square, 4);
tmp_1_w32 -= WEBRTC_SPL_MUL_16_16_RSFT((WebRtc_Word16)(inst->magnLen
- kStartBand), kSumSquareLogIndex[65], 2);
matrix_determinant = (WebRtc_Word16)tmp_1_w32;
sum_log_i -= kSumLogIndex[65]; // Q5
sum_log_i_square -= kSumSquareLogIndex[65]; // Q2
}
// Shift the largest value of sum_log_i and tmp32no3 before multiplication
tmp_u16 = WEBRTC_SPL_LSHIFT_U16((WebRtc_UWord16)sum_log_i, 1); // Q6
if ((WebRtc_UWord32)sum_log_i > tmpU32no1)
{
tmp_u16 = WEBRTC_SPL_RSHIFT_U16(tmp_u16, zeros);
}
else
{
tmpU32no1 = WEBRTC_SPL_RSHIFT_U32(tmpU32no1, zeros);
}
tmp_2_w32 -= (WebRtc_Word32)WEBRTC_SPL_UMUL_32_16(tmpU32no1, tmp_u16); // Q(11-zeros)
matrix_determinant = WEBRTC_SPL_RSHIFT_W16(matrix_determinant, zeros); // Q(-zeros)
tmp_2_w32 = WebRtcSpl_DivW32W16(tmp_2_w32, matrix_determinant); // Q11
tmp_2_w32 += WEBRTC_SPL_LSHIFT_W32((WebRtc_Word32)net_norm, 11); // Q11
if (tmp_2_w32 < 0)
{
tmp_2_w32 = 0;
}
inst->pinkNoiseNumerator += tmp_2_w32; // Q11
// Necessary number of shifts to fit sum_log_magn in a word16
zeros = 16 - WebRtcSpl_NormW32(sum_log_magn);
if (zeros < 0)
{
zeros = 0;
}
tmp_1_w32 = WEBRTC_SPL_LSHIFT_W32(sum_log_magn, 1); // Q9
sum_log_magn_u16 = (WebRtc_UWord16)WEBRTC_SPL_RSHIFT_W32(tmp_1_w32, zeros);//Q(9-zeros)
// Calculate and update pinkNoiseExp. Result in Q14.
tmp_2_w32 = WEBRTC_SPL_MUL_16_U16(sum_log_i, sum_log_magn_u16); // Q(14-zeros)
tmp_1_w32 = WEBRTC_SPL_RSHIFT_W32(sum_log_i_log_magn, 3 + zeros);
tmp_1_w32 = WEBRTC_SPL_MUL((WebRtc_Word32)(inst->magnLen - kStartBand),
tmp_1_w32);
tmp_2_w32 -= tmp_1_w32; // Q(14-zeros)
if (tmp_2_w32 > 0)
{
// If the exponential parameter is negative force it to zero, which means a
// flat spectrum.
tmp_1_w32 = WebRtcSpl_DivW32W16(tmp_2_w32, matrix_determinant); // Q14
inst->pinkNoiseExp += WEBRTC_SPL_SAT(16384, tmp_1_w32, 0); // Q14
}
// Calculate and update pinkNoiseNumerator. Result in Q11.
tmp_2_w32 = WEBRTC_SPL_MUL_16_U16(sum_log_i_square, sum_log_magn_u16); // Q(11-zeros)
tmpU32no1 = WEBRTC_SPL_RSHIFT_U32((WebRtc_UWord32)sum_log_i_log_magn, 12); // Q5
// Shift the largest value of sum_log_i and tmp32no3 before multiplication
tmp_u16 = WEBRTC_SPL_LSHIFT_U16((WebRtc_UWord16)sum_log_i, 1); // Q6
if ((WebRtc_UWord32)sum_log_i > tmpU32no1)
{
tmp_u16 = WEBRTC_SPL_RSHIFT_U16(tmp_u16, zeros);
}
else
{
tmpU32no1 = WEBRTC_SPL_RSHIFT_U32(tmpU32no1, zeros);
}
tmp_2_w32 -= (WebRtc_Word32)WEBRTC_SPL_UMUL_32_16(tmpU32no1, tmp_u16); // Q(11-zeros)
matrix_determinant = WEBRTC_SPL_RSHIFT_W16(matrix_determinant, zeros); // Q(-zeros)
tmp_2_w32 = WebRtcSpl_DivW32W16(tmp_2_w32, matrix_determinant); // Q11
tmp_2_w32 += WEBRTC_SPL_LSHIFT_W32((WebRtc_Word32)net_norm, 11); // Q11
if (tmp_2_w32 < 0)
{
tmp_2_w32 = 0;
}
inst->pinkNoiseNumerator += tmp_2_w32; // Q11
// Calculate and update pinkNoiseExp. Result in Q14.
tmp_2_w32 = WEBRTC_SPL_MUL_16_U16(sum_log_i, sum_log_magn_u16); // Q(14-zeros)
tmp_1_w32 = WEBRTC_SPL_RSHIFT_W32(sum_log_i_log_magn, 3 + zeros);
tmp_1_w32 = WEBRTC_SPL_MUL((WebRtc_Word32)(inst->magnLen - kStartBand),
tmp_1_w32);
tmp_2_w32 -= tmp_1_w32; // Q(14-zeros)
if (tmp_2_w32 > 0)
{
// If the exponential parameter is negative force it to zero, which means a
// flat spectrum.
tmp_1_w32 = WebRtcSpl_DivW32W16(tmp_2_w32, matrix_determinant); // Q14
inst->pinkNoiseExp += WEBRTC_SPL_SAT(16384, tmp_1_w32, 0); // Q14
}
}
}