Alexandre Lision | 744f742 | 2013-09-25 11:39:37 -0400 | [diff] [blame] | 1 | /*********************************************************************** |
| 2 | Copyright (c) 2006-2011, Skype Limited. All rights reserved. |
| 3 | Redistribution and use in source and binary forms, with or without |
| 4 | modification, are permitted provided that the following conditions |
| 5 | are met: |
| 6 | - Redistributions of source code must retain the above copyright notice, |
| 7 | this list of conditions and the following disclaimer. |
| 8 | - Redistributions in binary form must reproduce the above copyright |
| 9 | notice, this list of conditions and the following disclaimer in the |
| 10 | documentation and/or other materials provided with the distribution. |
| 11 | - Neither the name of Internet Society, IETF or IETF Trust, nor the |
| 12 | names of specific contributors, may be used to endorse or promote |
| 13 | products derived from this software without specific prior written |
| 14 | permission. |
| 15 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” |
| 16 | AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| 17 | IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| 18 | ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE |
| 19 | LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| 20 | CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| 21 | SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| 22 | INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| 23 | CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| 24 | ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| 25 | POSSIBILITY OF SUCH DAMAGE. |
| 26 | ***********************************************************************/ |
| 27 | |
| 28 | #ifdef HAVE_CONFIG_H |
| 29 | #include "config.h" |
| 30 | #endif |
| 31 | |
| 32 | #include "main_FLP.h" |
| 33 | #include "tuning_parameters.h" |
| 34 | |
| 35 | /* Compute gain to make warped filter coefficients have a zero mean log frequency response on a */ |
| 36 | /* non-warped frequency scale. (So that it can be implemented with a minimum-phase monic filter.) */ |
| 37 | /* Note: A monic filter is one with the first coefficient equal to 1.0. In Silk we omit the first */ |
| 38 | /* coefficient in an array of coefficients, for monic filters. */ |
| 39 | static inline silk_float warped_gain( |
| 40 | const silk_float *coefs, |
| 41 | silk_float lambda, |
| 42 | opus_int order |
| 43 | ) { |
| 44 | opus_int i; |
| 45 | silk_float gain; |
| 46 | |
| 47 | lambda = -lambda; |
| 48 | gain = coefs[ order - 1 ]; |
| 49 | for( i = order - 2; i >= 0; i-- ) { |
| 50 | gain = lambda * gain + coefs[ i ]; |
| 51 | } |
| 52 | return (silk_float)( 1.0f / ( 1.0f - lambda * gain ) ); |
| 53 | } |
| 54 | |
| 55 | /* Convert warped filter coefficients to monic pseudo-warped coefficients and limit maximum */ |
| 56 | /* amplitude of monic warped coefficients by using bandwidth expansion on the true coefficients */ |
| 57 | static inline void warped_true2monic_coefs( |
| 58 | silk_float *coefs_syn, |
| 59 | silk_float *coefs_ana, |
| 60 | silk_float lambda, |
| 61 | silk_float limit, |
| 62 | opus_int order |
| 63 | ) { |
| 64 | opus_int i, iter, ind = 0; |
| 65 | silk_float tmp, maxabs, chirp, gain_syn, gain_ana; |
| 66 | |
| 67 | /* Convert to monic coefficients */ |
| 68 | for( i = order - 1; i > 0; i-- ) { |
| 69 | coefs_syn[ i - 1 ] -= lambda * coefs_syn[ i ]; |
| 70 | coefs_ana[ i - 1 ] -= lambda * coefs_ana[ i ]; |
| 71 | } |
| 72 | gain_syn = ( 1.0f - lambda * lambda ) / ( 1.0f + lambda * coefs_syn[ 0 ] ); |
| 73 | gain_ana = ( 1.0f - lambda * lambda ) / ( 1.0f + lambda * coefs_ana[ 0 ] ); |
| 74 | for( i = 0; i < order; i++ ) { |
| 75 | coefs_syn[ i ] *= gain_syn; |
| 76 | coefs_ana[ i ] *= gain_ana; |
| 77 | } |
| 78 | |
| 79 | /* Limit */ |
| 80 | for( iter = 0; iter < 10; iter++ ) { |
| 81 | /* Find maximum absolute value */ |
| 82 | maxabs = -1.0f; |
| 83 | for( i = 0; i < order; i++ ) { |
| 84 | tmp = silk_max( silk_abs_float( coefs_syn[ i ] ), silk_abs_float( coefs_ana[ i ] ) ); |
| 85 | if( tmp > maxabs ) { |
| 86 | maxabs = tmp; |
| 87 | ind = i; |
| 88 | } |
| 89 | } |
| 90 | if( maxabs <= limit ) { |
| 91 | /* Coefficients are within range - done */ |
| 92 | return; |
| 93 | } |
| 94 | |
| 95 | /* Convert back to true warped coefficients */ |
| 96 | for( i = 1; i < order; i++ ) { |
| 97 | coefs_syn[ i - 1 ] += lambda * coefs_syn[ i ]; |
| 98 | coefs_ana[ i - 1 ] += lambda * coefs_ana[ i ]; |
| 99 | } |
| 100 | gain_syn = 1.0f / gain_syn; |
| 101 | gain_ana = 1.0f / gain_ana; |
| 102 | for( i = 0; i < order; i++ ) { |
| 103 | coefs_syn[ i ] *= gain_syn; |
| 104 | coefs_ana[ i ] *= gain_ana; |
| 105 | } |
| 106 | |
| 107 | /* Apply bandwidth expansion */ |
| 108 | chirp = 0.99f - ( 0.8f + 0.1f * iter ) * ( maxabs - limit ) / ( maxabs * ( ind + 1 ) ); |
| 109 | silk_bwexpander_FLP( coefs_syn, order, chirp ); |
| 110 | silk_bwexpander_FLP( coefs_ana, order, chirp ); |
| 111 | |
| 112 | /* Convert to monic warped coefficients */ |
| 113 | for( i = order - 1; i > 0; i-- ) { |
| 114 | coefs_syn[ i - 1 ] -= lambda * coefs_syn[ i ]; |
| 115 | coefs_ana[ i - 1 ] -= lambda * coefs_ana[ i ]; |
| 116 | } |
| 117 | gain_syn = ( 1.0f - lambda * lambda ) / ( 1.0f + lambda * coefs_syn[ 0 ] ); |
| 118 | gain_ana = ( 1.0f - lambda * lambda ) / ( 1.0f + lambda * coefs_ana[ 0 ] ); |
| 119 | for( i = 0; i < order; i++ ) { |
| 120 | coefs_syn[ i ] *= gain_syn; |
| 121 | coefs_ana[ i ] *= gain_ana; |
| 122 | } |
| 123 | } |
| 124 | silk_assert( 0 ); |
| 125 | } |
| 126 | |
| 127 | /* Compute noise shaping coefficients and initial gain values */ |
| 128 | void silk_noise_shape_analysis_FLP( |
| 129 | silk_encoder_state_FLP *psEnc, /* I/O Encoder state FLP */ |
| 130 | silk_encoder_control_FLP *psEncCtrl, /* I/O Encoder control FLP */ |
| 131 | const silk_float *pitch_res, /* I LPC residual from pitch analysis */ |
| 132 | const silk_float *x /* I Input signal [frame_length + la_shape] */ |
| 133 | ) |
| 134 | { |
| 135 | silk_shape_state_FLP *psShapeSt = &psEnc->sShape; |
| 136 | opus_int k, nSamples; |
| 137 | silk_float SNR_adj_dB, HarmBoost, HarmShapeGain, Tilt; |
| 138 | silk_float nrg, pre_nrg, log_energy, log_energy_prev, energy_variation; |
| 139 | silk_float delta, BWExp1, BWExp2, gain_mult, gain_add, strength, b, warping; |
| 140 | silk_float x_windowed[ SHAPE_LPC_WIN_MAX ]; |
| 141 | silk_float auto_corr[ MAX_SHAPE_LPC_ORDER + 1 ]; |
| 142 | const silk_float *x_ptr, *pitch_res_ptr; |
| 143 | |
| 144 | /* Point to start of first LPC analysis block */ |
| 145 | x_ptr = x - psEnc->sCmn.la_shape; |
| 146 | |
| 147 | /****************/ |
| 148 | /* GAIN CONTROL */ |
| 149 | /****************/ |
| 150 | SNR_adj_dB = psEnc->sCmn.SNR_dB_Q7 * ( 1 / 128.0f ); |
| 151 | |
| 152 | /* Input quality is the average of the quality in the lowest two VAD bands */ |
| 153 | psEncCtrl->input_quality = 0.5f * ( psEnc->sCmn.input_quality_bands_Q15[ 0 ] + psEnc->sCmn.input_quality_bands_Q15[ 1 ] ) * ( 1.0f / 32768.0f ); |
| 154 | |
| 155 | /* Coding quality level, between 0.0 and 1.0 */ |
| 156 | psEncCtrl->coding_quality = silk_sigmoid( 0.25f * ( SNR_adj_dB - 20.0f ) ); |
| 157 | |
| 158 | if( psEnc->sCmn.useCBR == 0 ) { |
| 159 | /* Reduce coding SNR during low speech activity */ |
| 160 | b = 1.0f - psEnc->sCmn.speech_activity_Q8 * ( 1.0f / 256.0f ); |
| 161 | SNR_adj_dB -= BG_SNR_DECR_dB * psEncCtrl->coding_quality * ( 0.5f + 0.5f * psEncCtrl->input_quality ) * b * b; |
| 162 | } |
| 163 | |
| 164 | if( psEnc->sCmn.indices.signalType == TYPE_VOICED ) { |
| 165 | /* Reduce gains for periodic signals */ |
| 166 | SNR_adj_dB += HARM_SNR_INCR_dB * psEnc->LTPCorr; |
| 167 | } else { |
| 168 | /* For unvoiced signals and low-quality input, adjust the quality slower than SNR_dB setting */ |
| 169 | SNR_adj_dB += ( -0.4f * psEnc->sCmn.SNR_dB_Q7 * ( 1 / 128.0f ) + 6.0f ) * ( 1.0f - psEncCtrl->input_quality ); |
| 170 | } |
| 171 | |
| 172 | /*************************/ |
| 173 | /* SPARSENESS PROCESSING */ |
| 174 | /*************************/ |
| 175 | /* Set quantizer offset */ |
| 176 | if( psEnc->sCmn.indices.signalType == TYPE_VOICED ) { |
| 177 | /* Initially set to 0; may be overruled in process_gains(..) */ |
| 178 | psEnc->sCmn.indices.quantOffsetType = 0; |
| 179 | psEncCtrl->sparseness = 0.0f; |
| 180 | } else { |
| 181 | /* Sparseness measure, based on relative fluctuations of energy per 2 milliseconds */ |
| 182 | nSamples = 2 * psEnc->sCmn.fs_kHz; |
| 183 | energy_variation = 0.0f; |
| 184 | log_energy_prev = 0.0f; |
| 185 | pitch_res_ptr = pitch_res; |
| 186 | for( k = 0; k < silk_SMULBB( SUB_FRAME_LENGTH_MS, psEnc->sCmn.nb_subfr ) / 2; k++ ) { |
| 187 | nrg = ( silk_float )nSamples + ( silk_float )silk_energy_FLP( pitch_res_ptr, nSamples ); |
| 188 | log_energy = silk_log2( nrg ); |
| 189 | if( k > 0 ) { |
| 190 | energy_variation += silk_abs_float( log_energy - log_energy_prev ); |
| 191 | } |
| 192 | log_energy_prev = log_energy; |
| 193 | pitch_res_ptr += nSamples; |
| 194 | } |
| 195 | psEncCtrl->sparseness = silk_sigmoid( 0.4f * ( energy_variation - 5.0f ) ); |
| 196 | |
| 197 | /* Set quantization offset depending on sparseness measure */ |
| 198 | if( psEncCtrl->sparseness > SPARSENESS_THRESHOLD_QNT_OFFSET ) { |
| 199 | psEnc->sCmn.indices.quantOffsetType = 0; |
| 200 | } else { |
| 201 | psEnc->sCmn.indices.quantOffsetType = 1; |
| 202 | } |
| 203 | |
| 204 | /* Increase coding SNR for sparse signals */ |
| 205 | SNR_adj_dB += SPARSE_SNR_INCR_dB * ( psEncCtrl->sparseness - 0.5f ); |
| 206 | } |
| 207 | |
| 208 | /*******************************/ |
| 209 | /* Control bandwidth expansion */ |
| 210 | /*******************************/ |
| 211 | /* More BWE for signals with high prediction gain */ |
| 212 | strength = FIND_PITCH_WHITE_NOISE_FRACTION * psEncCtrl->predGain; /* between 0.0 and 1.0 */ |
| 213 | BWExp1 = BWExp2 = BANDWIDTH_EXPANSION / ( 1.0f + strength * strength ); |
| 214 | delta = LOW_RATE_BANDWIDTH_EXPANSION_DELTA * ( 1.0f - 0.75f * psEncCtrl->coding_quality ); |
| 215 | BWExp1 -= delta; |
| 216 | BWExp2 += delta; |
| 217 | /* BWExp1 will be applied after BWExp2, so make it relative */ |
| 218 | BWExp1 /= BWExp2; |
| 219 | |
| 220 | if( psEnc->sCmn.warping_Q16 > 0 ) { |
| 221 | /* Slightly more warping in analysis will move quantization noise up in frequency, where it's better masked */ |
| 222 | warping = (silk_float)psEnc->sCmn.warping_Q16 / 65536.0f + 0.01f * psEncCtrl->coding_quality; |
| 223 | } else { |
| 224 | warping = 0.0f; |
| 225 | } |
| 226 | |
| 227 | /********************************************/ |
| 228 | /* Compute noise shaping AR coefs and gains */ |
| 229 | /********************************************/ |
| 230 | for( k = 0; k < psEnc->sCmn.nb_subfr; k++ ) { |
| 231 | /* Apply window: sine slope followed by flat part followed by cosine slope */ |
| 232 | opus_int shift, slope_part, flat_part; |
| 233 | flat_part = psEnc->sCmn.fs_kHz * 3; |
| 234 | slope_part = ( psEnc->sCmn.shapeWinLength - flat_part ) / 2; |
| 235 | |
| 236 | silk_apply_sine_window_FLP( x_windowed, x_ptr, 1, slope_part ); |
| 237 | shift = slope_part; |
| 238 | silk_memcpy( x_windowed + shift, x_ptr + shift, flat_part * sizeof(silk_float) ); |
| 239 | shift += flat_part; |
| 240 | silk_apply_sine_window_FLP( x_windowed + shift, x_ptr + shift, 2, slope_part ); |
| 241 | |
| 242 | /* Update pointer: next LPC analysis block */ |
| 243 | x_ptr += psEnc->sCmn.subfr_length; |
| 244 | |
| 245 | if( psEnc->sCmn.warping_Q16 > 0 ) { |
| 246 | /* Calculate warped auto correlation */ |
| 247 | silk_warped_autocorrelation_FLP( auto_corr, x_windowed, warping, |
| 248 | psEnc->sCmn.shapeWinLength, psEnc->sCmn.shapingLPCOrder ); |
| 249 | } else { |
| 250 | /* Calculate regular auto correlation */ |
| 251 | silk_autocorrelation_FLP( auto_corr, x_windowed, psEnc->sCmn.shapeWinLength, psEnc->sCmn.shapingLPCOrder + 1 ); |
| 252 | } |
| 253 | |
| 254 | /* Add white noise, as a fraction of energy */ |
| 255 | auto_corr[ 0 ] += auto_corr[ 0 ] * SHAPE_WHITE_NOISE_FRACTION; |
| 256 | |
| 257 | /* Convert correlations to prediction coefficients, and compute residual energy */ |
| 258 | nrg = silk_levinsondurbin_FLP( &psEncCtrl->AR2[ k * MAX_SHAPE_LPC_ORDER ], auto_corr, psEnc->sCmn.shapingLPCOrder ); |
| 259 | psEncCtrl->Gains[ k ] = ( silk_float )sqrt( nrg ); |
| 260 | |
| 261 | if( psEnc->sCmn.warping_Q16 > 0 ) { |
| 262 | /* Adjust gain for warping */ |
| 263 | psEncCtrl->Gains[ k ] *= warped_gain( &psEncCtrl->AR2[ k * MAX_SHAPE_LPC_ORDER ], warping, psEnc->sCmn.shapingLPCOrder ); |
| 264 | } |
| 265 | |
| 266 | /* Bandwidth expansion for synthesis filter shaping */ |
| 267 | silk_bwexpander_FLP( &psEncCtrl->AR2[ k * MAX_SHAPE_LPC_ORDER ], psEnc->sCmn.shapingLPCOrder, BWExp2 ); |
| 268 | |
| 269 | /* Compute noise shaping filter coefficients */ |
| 270 | silk_memcpy( |
| 271 | &psEncCtrl->AR1[ k * MAX_SHAPE_LPC_ORDER ], |
| 272 | &psEncCtrl->AR2[ k * MAX_SHAPE_LPC_ORDER ], |
| 273 | psEnc->sCmn.shapingLPCOrder * sizeof( silk_float ) ); |
| 274 | |
| 275 | /* Bandwidth expansion for analysis filter shaping */ |
| 276 | silk_bwexpander_FLP( &psEncCtrl->AR1[ k * MAX_SHAPE_LPC_ORDER ], psEnc->sCmn.shapingLPCOrder, BWExp1 ); |
| 277 | |
| 278 | /* Ratio of prediction gains, in energy domain */ |
| 279 | pre_nrg = silk_LPC_inverse_pred_gain_FLP( &psEncCtrl->AR2[ k * MAX_SHAPE_LPC_ORDER ], psEnc->sCmn.shapingLPCOrder ); |
| 280 | nrg = silk_LPC_inverse_pred_gain_FLP( &psEncCtrl->AR1[ k * MAX_SHAPE_LPC_ORDER ], psEnc->sCmn.shapingLPCOrder ); |
| 281 | psEncCtrl->GainsPre[ k ] = 1.0f - 0.7f * ( 1.0f - pre_nrg / nrg ); |
| 282 | |
| 283 | /* Convert to monic warped prediction coefficients and limit absolute values */ |
| 284 | warped_true2monic_coefs( &psEncCtrl->AR2[ k * MAX_SHAPE_LPC_ORDER ], &psEncCtrl->AR1[ k * MAX_SHAPE_LPC_ORDER ], |
| 285 | warping, 3.999f, psEnc->sCmn.shapingLPCOrder ); |
| 286 | } |
| 287 | |
| 288 | /*****************/ |
| 289 | /* Gain tweaking */ |
| 290 | /*****************/ |
| 291 | /* Increase gains during low speech activity */ |
| 292 | gain_mult = (silk_float)pow( 2.0f, -0.16f * SNR_adj_dB ); |
| 293 | gain_add = (silk_float)pow( 2.0f, 0.16f * MIN_QGAIN_DB ); |
| 294 | for( k = 0; k < psEnc->sCmn.nb_subfr; k++ ) { |
| 295 | psEncCtrl->Gains[ k ] *= gain_mult; |
| 296 | psEncCtrl->Gains[ k ] += gain_add; |
| 297 | } |
| 298 | |
| 299 | gain_mult = 1.0f + INPUT_TILT + psEncCtrl->coding_quality * HIGH_RATE_INPUT_TILT; |
| 300 | for( k = 0; k < psEnc->sCmn.nb_subfr; k++ ) { |
| 301 | psEncCtrl->GainsPre[ k ] *= gain_mult; |
| 302 | } |
| 303 | |
| 304 | /************************************************/ |
| 305 | /* Control low-frequency shaping and noise tilt */ |
| 306 | /************************************************/ |
| 307 | /* Less low frequency shaping for noisy inputs */ |
| 308 | strength = LOW_FREQ_SHAPING * ( 1.0f + LOW_QUALITY_LOW_FREQ_SHAPING_DECR * ( psEnc->sCmn.input_quality_bands_Q15[ 0 ] * ( 1.0f / 32768.0f ) - 1.0f ) ); |
| 309 | strength *= psEnc->sCmn.speech_activity_Q8 * ( 1.0f / 256.0f ); |
| 310 | if( psEnc->sCmn.indices.signalType == TYPE_VOICED ) { |
| 311 | /* Reduce low frequencies quantization noise for periodic signals, depending on pitch lag */ |
| 312 | /*f = 400; freqz([1, -0.98 + 2e-4 * f], [1, -0.97 + 7e-4 * f], 2^12, Fs); axis([0, 1000, -10, 1])*/ |
| 313 | for( k = 0; k < psEnc->sCmn.nb_subfr; k++ ) { |
| 314 | b = 0.2f / psEnc->sCmn.fs_kHz + 3.0f / psEncCtrl->pitchL[ k ]; |
| 315 | psEncCtrl->LF_MA_shp[ k ] = -1.0f + b; |
| 316 | psEncCtrl->LF_AR_shp[ k ] = 1.0f - b - b * strength; |
| 317 | } |
| 318 | Tilt = - HP_NOISE_COEF - |
| 319 | (1 - HP_NOISE_COEF) * HARM_HP_NOISE_COEF * psEnc->sCmn.speech_activity_Q8 * ( 1.0f / 256.0f ); |
| 320 | } else { |
| 321 | b = 1.3f / psEnc->sCmn.fs_kHz; |
| 322 | psEncCtrl->LF_MA_shp[ 0 ] = -1.0f + b; |
| 323 | psEncCtrl->LF_AR_shp[ 0 ] = 1.0f - b - b * strength * 0.6f; |
| 324 | for( k = 1; k < psEnc->sCmn.nb_subfr; k++ ) { |
| 325 | psEncCtrl->LF_MA_shp[ k ] = psEncCtrl->LF_MA_shp[ 0 ]; |
| 326 | psEncCtrl->LF_AR_shp[ k ] = psEncCtrl->LF_AR_shp[ 0 ]; |
| 327 | } |
| 328 | Tilt = -HP_NOISE_COEF; |
| 329 | } |
| 330 | |
| 331 | /****************************/ |
| 332 | /* HARMONIC SHAPING CONTROL */ |
| 333 | /****************************/ |
| 334 | /* Control boosting of harmonic frequencies */ |
| 335 | HarmBoost = LOW_RATE_HARMONIC_BOOST * ( 1.0f - psEncCtrl->coding_quality ) * psEnc->LTPCorr; |
| 336 | |
| 337 | /* More harmonic boost for noisy input signals */ |
| 338 | HarmBoost += LOW_INPUT_QUALITY_HARMONIC_BOOST * ( 1.0f - psEncCtrl->input_quality ); |
| 339 | |
| 340 | if( USE_HARM_SHAPING && psEnc->sCmn.indices.signalType == TYPE_VOICED ) { |
| 341 | /* Harmonic noise shaping */ |
| 342 | HarmShapeGain = HARMONIC_SHAPING; |
| 343 | |
| 344 | /* More harmonic noise shaping for high bitrates or noisy input */ |
| 345 | HarmShapeGain += HIGH_RATE_OR_LOW_QUALITY_HARMONIC_SHAPING * |
| 346 | ( 1.0f - ( 1.0f - psEncCtrl->coding_quality ) * psEncCtrl->input_quality ); |
| 347 | |
| 348 | /* Less harmonic noise shaping for less periodic signals */ |
| 349 | HarmShapeGain *= ( silk_float )sqrt( psEnc->LTPCorr ); |
| 350 | } else { |
| 351 | HarmShapeGain = 0.0f; |
| 352 | } |
| 353 | |
| 354 | /*************************/ |
| 355 | /* Smooth over subframes */ |
| 356 | /*************************/ |
| 357 | for( k = 0; k < psEnc->sCmn.nb_subfr; k++ ) { |
| 358 | psShapeSt->HarmBoost_smth += SUBFR_SMTH_COEF * ( HarmBoost - psShapeSt->HarmBoost_smth ); |
| 359 | psEncCtrl->HarmBoost[ k ] = psShapeSt->HarmBoost_smth; |
| 360 | psShapeSt->HarmShapeGain_smth += SUBFR_SMTH_COEF * ( HarmShapeGain - psShapeSt->HarmShapeGain_smth ); |
| 361 | psEncCtrl->HarmShapeGain[ k ] = psShapeSt->HarmShapeGain_smth; |
| 362 | psShapeSt->Tilt_smth += SUBFR_SMTH_COEF * ( Tilt - psShapeSt->Tilt_smth ); |
| 363 | psEncCtrl->Tilt[ k ] = psShapeSt->Tilt_smth; |
| 364 | } |
| 365 | } |