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LuaCsForBarotraumaEP/Libraries/Concentus/CSharp/Concentus/Silk/FindPredCoefs.cs

172 lines
9.0 KiB
C#

/* Copyright (c) 2006-2011 Skype Limited. All Rights Reserved
Ported to C# by Logan Stromberg
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
- Neither the name of Internet Society, IETF or IETF Trust, nor the
names of specific contributors, may be used to endorse or promote
products derived from this software without specific prior written
permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
namespace Concentus.Silk
{
using Concentus.Common;
using Concentus.Common.CPlusPlus;
using Concentus.Silk.Enums;
using Concentus.Silk.Structs;
using System;
using System.Diagnostics;
internal static class FindPredCoefs
{
internal static void silk_find_pred_coefs(
SilkChannelEncoder psEnc, /* I/O encoder state */
SilkEncoderControl psEncCtrl, /* I/O encoder control */
short[] res_pitch, /* I Residual from pitch analysis */
short[] x, /* I Speech signal */
int x_ptr,
int condCoding /* I The type of conditional coding to use */
)
{
int i;
int[] invGains_Q16 = new int[SilkConstants.MAX_NB_SUBFR];
int[] local_gains = new int[SilkConstants.MAX_NB_SUBFR];
int[] Wght_Q15 = new int[SilkConstants.MAX_NB_SUBFR];
short[] NLSF_Q15 = new short[SilkConstants.MAX_LPC_ORDER];
int x_ptr2;
int x_pre_ptr;
short[] LPC_in_pre;
int tmp, min_gain_Q16, minInvGain_Q30;
int[] LTP_corrs_rshift = new int[SilkConstants.MAX_NB_SUBFR];
/* weighting for weighted least squares */
min_gain_Q16 = int.MaxValue >> 6;
for (i = 0; i < psEnc.nb_subfr; i++)
{
min_gain_Q16 = Inlines.silk_min(min_gain_Q16, psEncCtrl.Gains_Q16[i]);
}
for (i = 0; i < psEnc.nb_subfr; i++)
{
/* Divide to Q16 */
Inlines.OpusAssert(psEncCtrl.Gains_Q16[i] > 0);
/* Invert and normalize gains, and ensure that maximum invGains_Q16 is within range of a 16 bit int */
invGains_Q16[i] = Inlines.silk_DIV32_varQ(min_gain_Q16, psEncCtrl.Gains_Q16[i], 16 - 2);
/* Ensure Wght_Q15 a minimum value 1 */
invGains_Q16[i] = Inlines.silk_max(invGains_Q16[i], 363);
/* Square the inverted gains */
Inlines.OpusAssert(invGains_Q16[i] == Inlines.silk_SAT16(invGains_Q16[i]));
tmp = Inlines.silk_SMULWB(invGains_Q16[i], invGains_Q16[i]);
Wght_Q15[i] = Inlines.silk_RSHIFT(tmp, 1);
/* Invert the inverted and normalized gains */
local_gains[i] = Inlines.silk_DIV32(((int)1 << 16), invGains_Q16[i]);
}
LPC_in_pre = new short[psEnc.nb_subfr * psEnc.predictLPCOrder + psEnc.frame_length];
if (psEnc.indices.signalType == SilkConstants.TYPE_VOICED)
{
int[] WLTP;
/**********/
/* VOICED */
/**********/
Inlines.OpusAssert(psEnc.ltp_mem_length - psEnc.predictLPCOrder >= psEncCtrl.pitchL[0] + SilkConstants.LTP_ORDER / 2);
WLTP = new int[psEnc.nb_subfr * SilkConstants.LTP_ORDER * SilkConstants.LTP_ORDER];
/* LTP analysis */
BoxedValueInt boxed_codgain = new BoxedValueInt(psEncCtrl.LTPredCodGain_Q7);
FindLTP.silk_find_LTP(psEncCtrl.LTPCoef_Q14, WLTP, boxed_codgain,
res_pitch, psEncCtrl.pitchL, Wght_Q15, psEnc.subfr_length,
psEnc.nb_subfr, psEnc.ltp_mem_length, LTP_corrs_rshift);
psEncCtrl.LTPredCodGain_Q7 = boxed_codgain.Val;
/* Quantize LTP gain parameters */
BoxedValueSbyte boxed_periodicity = new BoxedValueSbyte(psEnc.indices.PERIndex);
BoxedValueInt boxed_gain = new BoxedValueInt(psEnc.sum_log_gain_Q7);
QuantizeLTPGains.silk_quant_LTP_gains(psEncCtrl.LTPCoef_Q14, psEnc.indices.LTPIndex, boxed_periodicity,
boxed_gain, WLTP, psEnc.mu_LTP_Q9, psEnc.LTPQuantLowComplexity, psEnc.nb_subfr
);
psEnc.indices.PERIndex = boxed_periodicity.Val;
psEnc.sum_log_gain_Q7 = boxed_gain.Val;
/* Control LTP scaling */
LTPScaleControl.silk_LTP_scale_ctrl(psEnc, psEncCtrl, condCoding);
/* Create LTP residual */
LTPAnalysisFilter.silk_LTP_analysis_filter(LPC_in_pre, x, x_ptr - psEnc.predictLPCOrder, psEncCtrl.LTPCoef_Q14,
psEncCtrl.pitchL, invGains_Q16, psEnc.subfr_length, psEnc.nb_subfr, psEnc.predictLPCOrder);
}
else {
/************/
/* UNVOICED */
/************/
/* Create signal with prepended subframes, scaled by inverse gains */
x_ptr2 = x_ptr - psEnc.predictLPCOrder;
x_pre_ptr = 0;
for (i = 0; i < psEnc.nb_subfr; i++)
{
Inlines.silk_scale_copy_vector16(LPC_in_pre, x_pre_ptr, x, x_ptr2, invGains_Q16[i],
psEnc.subfr_length + psEnc.predictLPCOrder);
x_pre_ptr += psEnc.subfr_length + psEnc.predictLPCOrder;
x_ptr2 += psEnc.subfr_length;
}
Arrays.MemSetShort(psEncCtrl.LTPCoef_Q14, 0, psEnc.nb_subfr * SilkConstants.LTP_ORDER);
psEncCtrl.LTPredCodGain_Q7 = 0;
psEnc.sum_log_gain_Q7 = 0;
}
/* Limit on total predictive coding gain */
if (psEnc.first_frame_after_reset != 0)
{
minInvGain_Q30 = ((int)((1.0f / SilkConstants.MAX_PREDICTION_POWER_GAIN_AFTER_RESET) * ((long)1 << (30)) + 0.5))/*Inlines.SILK_CONST(1.0f / SilkConstants.MAX_PREDICTION_POWER_GAIN_AFTER_RESET, 30)*/;
}
else {
minInvGain_Q30 = Inlines.silk_log2lin(Inlines.silk_SMLAWB(16 << 7, (int)psEncCtrl.LTPredCodGain_Q7, ((int)((1.0f / 3f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f / 3f, 16)*/)); /* Q16 */
minInvGain_Q30 = Inlines.silk_DIV32_varQ(minInvGain_Q30,
Inlines.silk_SMULWW(((int)((SilkConstants.MAX_PREDICTION_POWER_GAIN) * ((long)1 << (0)) + 0.5))/*Inlines.SILK_CONST(SilkConstants.MAX_PREDICTION_POWER_GAIN, 0)*/,
Inlines.silk_SMLAWB(((int)((0.25f) * ((long)1 << (18)) + 0.5))/*Inlines.SILK_CONST(0.25f, 18)*/, ((int)((0.75f) * ((long)1 << (18)) + 0.5))/*Inlines.SILK_CONST(0.75f, 18)*/, psEncCtrl.coding_quality_Q14)), 14);
}
/* LPC_in_pre contains the LTP-filtered input for voiced, and the unfiltered input for unvoiced */
FindLPC.silk_find_LPC(psEnc, NLSF_Q15, LPC_in_pre, minInvGain_Q30);
/* Quantize LSFs */
NLSF.silk_process_NLSFs(psEnc, psEncCtrl.PredCoef_Q12, NLSF_Q15, psEnc.prev_NLSFq_Q15);
/* Calculate residual energy using quantized LPC coefficients */
ResidualEnergy.silk_residual_energy(psEncCtrl.ResNrg, psEncCtrl.ResNrgQ, LPC_in_pre, psEncCtrl.PredCoef_Q12, local_gains,
psEnc.subfr_length, psEnc.nb_subfr, psEnc.predictLPCOrder);
/* Copy to prediction struct for use in next frame for interpolation */
Array.Copy(NLSF_Q15, psEnc.prev_NLSFq_Q15, SilkConstants.MAX_LPC_ORDER);
}
}
}