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

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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.Diagnostics;
internal static class FindLTP
{
/* Head room for correlations */
private const int LTP_CORRS_HEAD_ROOM = 2;
/// <summary>
/// Finds linear prediction coeffecients and weights
/// </summary>
/// <param name="b_Q14"></param>
/// <param name="WLTP"></param>
/// <param name="LTPredCodGain_Q7"></param>
/// <param name="r_lpc"></param>
/// <param name="lag"></param>
/// <param name="Wght_Q15"></param>
/// <param name="subfr_length"></param>
/// <param name="nb_subfr"></param>
/// <param name="mem_offset"></param>
/// <param name="corr_rshifts"></param>
internal static void silk_find_LTP(
short[] b_Q14, /* O LTP coefs [SilkConstants.MAX_NB_SUBFR * SilkConstants.LTP_ORDER] */
int[] WLTP, /* O Weight for LTP quantization [SilkConstants.MAX_NB_SUBFR * SilkConstants.LTP_ORDER * SilkConstants.LTP_ORDER] */
BoxedValueInt LTPredCodGain_Q7, /* O LTP coding gain */
short[] r_lpc, /* I residual signal after LPC signal + state for first 10 ms */
int[] lag, /* I LTP lags [SilkConstants.MAX_NB_SUBFR] */
int[] Wght_Q15, /* I weights [SilkConstants.MAX_NB_SUBFR] */
int subfr_length, /* I subframe length */
int nb_subfr, /* I number of subframes */
int mem_offset, /* I number of samples in LTP memory */
int[] corr_rshifts /* O right shifts applied to correlations [SilkConstants.MAX_NB_SUBFR] */
)
{
int i, k, lshift;
int r_ptr;
int lag_ptr;
int b_Q14_ptr;
int regu;
int WLTP_ptr;
int[] b_Q16 = new int[SilkConstants.LTP_ORDER];
int[] delta_b_Q14 = new int[SilkConstants.LTP_ORDER];
int[] d_Q14 = new int[SilkConstants.MAX_NB_SUBFR];
int[] nrg = new int[SilkConstants.MAX_NB_SUBFR];
int g_Q26;
int[] w = new int[SilkConstants.MAX_NB_SUBFR];
int WLTP_max, max_abs_d_Q14, max_w_bits;
int temp32, denom32;
int extra_shifts;
int rr_shifts, maxRshifts, maxRshifts_wxtra, LZs;
int LPC_res_nrg, LPC_LTP_res_nrg, div_Q16;
int[] Rr = new int[SilkConstants.LTP_ORDER];
int[] rr = new int[SilkConstants.MAX_NB_SUBFR];
int wd, m_Q12;
b_Q14_ptr = 0;
WLTP_ptr = 0;
r_ptr = mem_offset;
for (k = 0; k < nb_subfr; k++)
{
lag_ptr = r_ptr - (lag[k] + SilkConstants.LTP_ORDER / 2);
SumSqrShift.silk_sum_sqr_shift(out rr[k], out rr_shifts, r_lpc, r_ptr, subfr_length); /* rr[ k ] in Q( -rr_shifts ) */
/* Assure headroom */
LZs = Inlines.silk_CLZ32(rr[k]);
if (LZs < LTP_CORRS_HEAD_ROOM)
{
rr[k] = Inlines.silk_RSHIFT_ROUND(rr[k], LTP_CORRS_HEAD_ROOM - LZs);
rr_shifts += (LTP_CORRS_HEAD_ROOM - LZs);
}
corr_rshifts[k] = rr_shifts;
BoxedValueInt boxed_shifts = new BoxedValueInt(corr_rshifts[k]);
CorrelateMatrix.silk_corrMatrix(r_lpc, lag_ptr, subfr_length, SilkConstants.LTP_ORDER, LTP_CORRS_HEAD_ROOM, WLTP, WLTP_ptr, boxed_shifts); /* WLTP_ptr in Q( -corr_rshifts[ k ] ) */
corr_rshifts[k] = boxed_shifts.Val;
/* The correlation vector always has lower max abs value than rr and/or RR so head room is assured */
CorrelateMatrix.silk_corrVector(r_lpc, lag_ptr, r_lpc, r_ptr, subfr_length, SilkConstants.LTP_ORDER, Rr, corr_rshifts[k]); /* Rr_ptr in Q( -corr_rshifts[ k ] ) */
if (corr_rshifts[k] > rr_shifts)
{
rr[k] = Inlines.silk_RSHIFT(rr[k], corr_rshifts[k] - rr_shifts); /* rr[ k ] in Q( -corr_rshifts[ k ] ) */
}
Inlines.OpusAssert(rr[k] >= 0);
regu = 1;
regu = Inlines.silk_SMLAWB(regu, rr[k], ((int)((TuningParameters.LTP_DAMPING / 3) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LTP_DAMPING / 3, 16)*/);
regu = Inlines.silk_SMLAWB(regu, Inlines.MatrixGet(WLTP, WLTP_ptr, 0, 0, SilkConstants.LTP_ORDER), ((int)((TuningParameters.LTP_DAMPING / 3) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LTP_DAMPING / 3, 16)*/);
regu = Inlines.silk_SMLAWB(regu, Inlines.MatrixGet(WLTP, WLTP_ptr, SilkConstants.LTP_ORDER - 1, SilkConstants.LTP_ORDER - 1, SilkConstants.LTP_ORDER), ((int)((TuningParameters.LTP_DAMPING / 3) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LTP_DAMPING / 3, 16)*/);
RegularizeCorrelations.silk_regularize_correlations(WLTP, WLTP_ptr, rr, k, regu, SilkConstants.LTP_ORDER);
LinearAlgebra.silk_solve_LDL(WLTP, WLTP_ptr, SilkConstants.LTP_ORDER, Rr, b_Q16); /* WLTP_ptr and Rr_ptr both in Q(-corr_rshifts[k]) */
/* Limit and store in Q14 */
silk_fit_LTP(b_Q16, b_Q14, b_Q14_ptr);
/* Calculate residual energy */
nrg[k] = ResidualEnergy.silk_residual_energy16_covar(b_Q14, b_Q14_ptr, WLTP, WLTP_ptr, Rr, rr[k], SilkConstants.LTP_ORDER, 14); /* nrg in Q( -corr_rshifts[ k ] ) */
/* temp = Wght[ k ] / ( nrg[ k ] * Wght[ k ] + 0.01f * subfr_length ); */
extra_shifts = Inlines.silk_min_int(corr_rshifts[k], LTP_CORRS_HEAD_ROOM);
denom32 = Inlines.silk_LSHIFT_SAT32(Inlines.silk_SMULWB(nrg[k], Wght_Q15[k]), 1 + extra_shifts) + /* Q( -corr_rshifts[ k ] + extra_shifts ) */
Inlines.silk_RSHIFT(Inlines.silk_SMULWB((int)subfr_length, 655), corr_rshifts[k] - extra_shifts); /* Q( -corr_rshifts[ k ] + extra_shifts ) */
denom32 = Inlines.silk_max(denom32, 1);
Inlines.OpusAssert(((long)Wght_Q15[k] << 16) < int.MaxValue); /* Wght always < 0.5 in Q0 */
temp32 = Inlines.silk_DIV32(Inlines.silk_LSHIFT((int)Wght_Q15[k], 16), denom32); /* Q( 15 + 16 + corr_rshifts[k] - extra_shifts ) */
temp32 = Inlines.silk_RSHIFT(temp32, 31 + corr_rshifts[k] - extra_shifts - 26); /* Q26 */
/* Limit temp such that the below scaling never wraps around */
WLTP_max = 0;
for (i = WLTP_ptr; i < WLTP_ptr + (SilkConstants.LTP_ORDER * SilkConstants.LTP_ORDER); i++)
{
WLTP_max = Inlines.silk_max(WLTP[i], WLTP_max);
}
lshift = Inlines.silk_CLZ32(WLTP_max) - 1 - 3; /* keep 3 bits free for vq_nearest_neighbor */
Inlines.OpusAssert(26 - 18 + lshift >= 0);
if (26 - 18 + lshift < 31)
{
temp32 = Inlines.silk_min_32(temp32, Inlines.silk_LSHIFT((int)1, 26 - 18 + lshift));
}
Inlines.silk_scale_vector32_Q26_lshift_18(WLTP, WLTP_ptr, temp32, SilkConstants.LTP_ORDER * SilkConstants.LTP_ORDER); /* WLTP_ptr in Q( 18 - corr_rshifts[ k ] ) */
w[k] = Inlines.MatrixGet(WLTP, WLTP_ptr, SilkConstants.LTP_ORDER / 2, SilkConstants.LTP_ORDER / 2, SilkConstants.LTP_ORDER); /* w in Q( 18 - corr_rshifts[ k ] ) */
Inlines.OpusAssert(w[k] >= 0);
r_ptr += subfr_length;
b_Q14_ptr += SilkConstants.LTP_ORDER;
WLTP_ptr += (SilkConstants.LTP_ORDER * SilkConstants.LTP_ORDER);
}
maxRshifts = 0;
for (k = 0; k < nb_subfr; k++)
{
maxRshifts = Inlines.silk_max_int(corr_rshifts[k], maxRshifts);
}
/* Compute LTP coding gain */
if (LTPredCodGain_Q7 != null)
{
LPC_LTP_res_nrg = 0;
LPC_res_nrg = 0;
Inlines.OpusAssert(LTP_CORRS_HEAD_ROOM >= 2); /* Check that no overflow will happen when adding */
for (k = 0; k < nb_subfr; k++)
{
LPC_res_nrg = Inlines.silk_ADD32(LPC_res_nrg, Inlines.silk_RSHIFT(Inlines.silk_ADD32(Inlines.silk_SMULWB(rr[k], Wght_Q15[k]), 1), 1 + (maxRshifts - corr_rshifts[k]))); /* Q( -maxRshifts ) */
LPC_LTP_res_nrg = Inlines.silk_ADD32(LPC_LTP_res_nrg, Inlines.silk_RSHIFT(Inlines.silk_ADD32(Inlines.silk_SMULWB(nrg[k], Wght_Q15[k]), 1), 1 + (maxRshifts - corr_rshifts[k]))); /* Q( -maxRshifts ) */
}
LPC_LTP_res_nrg = Inlines.silk_max(LPC_LTP_res_nrg, 1); /* avoid division by zero */
div_Q16 = Inlines.silk_DIV32_varQ(LPC_res_nrg, LPC_LTP_res_nrg, 16);
LTPredCodGain_Q7.Val = (int)Inlines.silk_SMULBB(3, Inlines.silk_lin2log(div_Q16) - (16 << 7));
Inlines.OpusAssert(LTPredCodGain_Q7.Val == (int)Inlines.silk_SAT16(Inlines.silk_MUL(3, Inlines.silk_lin2log(div_Q16) - (16 << 7))));
}
/* smoothing */
/* d = sum( B, 1 ); */
b_Q14_ptr = 0;
for (k = 0; k < nb_subfr; k++)
{
d_Q14[k] = 0;
for (i = b_Q14_ptr; i < b_Q14_ptr + SilkConstants.LTP_ORDER; i++)
{
d_Q14[k] += b_Q14[i];
}
b_Q14_ptr += SilkConstants.LTP_ORDER;
}
/* m = ( w * d' ) / ( sum( w ) + 1e-3 ); */
/* Find maximum absolute value of d_Q14 and the bits used by w in Q0 */
max_abs_d_Q14 = 0;
max_w_bits = 0;
for (k = 0; k < nb_subfr; k++)
{
max_abs_d_Q14 = Inlines.silk_max_32(max_abs_d_Q14, Inlines.silk_abs(d_Q14[k]));
/* w[ k ] is in Q( 18 - corr_rshifts[ k ] ) */
/* Find bits needed in Q( 18 - maxRshifts ) */
max_w_bits = Inlines.silk_max_32(max_w_bits, 32 - Inlines.silk_CLZ32(w[k]) + corr_rshifts[k] - maxRshifts);
}
/* max_abs_d_Q14 = (5 << 15); worst case, i.e. SilkConstants.LTP_ORDER * -silk_int16_MIN */
Inlines.OpusAssert(max_abs_d_Q14 <= (5 << 15));
/* How many bits is needed for w*d' in Q( 18 - maxRshifts ) in the worst case, of all d_Q14's being equal to max_abs_d_Q14 */
extra_shifts = max_w_bits + 32 - Inlines.silk_CLZ32(max_abs_d_Q14) - 14;
/* Subtract what we got available; bits in output var plus maxRshifts */
extra_shifts -= (32 - 1 - 2 + maxRshifts); /* Keep sign bit free as well as 2 bits for accumulation */
extra_shifts = Inlines.silk_max_int(extra_shifts, 0);
maxRshifts_wxtra = maxRshifts + extra_shifts;
temp32 = Inlines.silk_RSHIFT(262, maxRshifts + extra_shifts) + 1; /* 1e-3f in Q( 18 - (maxRshifts + extra_shifts) ) */
wd = 0;
for (k = 0; k < nb_subfr; k++)
{
/* w has at least 2 bits of headroom so no overflow should happen */
temp32 = Inlines.silk_ADD32(temp32, Inlines.silk_RSHIFT(w[k], maxRshifts_wxtra - corr_rshifts[k])); /* Q( 18 - maxRshifts_wxtra ) */
wd = Inlines.silk_ADD32(wd, Inlines.silk_LSHIFT(Inlines.silk_SMULWW(Inlines.silk_RSHIFT(w[k], maxRshifts_wxtra - corr_rshifts[k]), d_Q14[k]), 2)); /* Q( 18 - maxRshifts_wxtra ) */
}
m_Q12 = Inlines.silk_DIV32_varQ(wd, temp32, 12);
b_Q14_ptr = 0;
for (k = 0; k < nb_subfr; k++)
{
/* w[ k ] from Q( 18 - corr_rshifts[ k ] ) to Q( 16 ) */
if (2 - corr_rshifts[k] > 0)
{
temp32 = Inlines.silk_RSHIFT(w[k], 2 - corr_rshifts[k]);
}
else {
temp32 = Inlines.silk_LSHIFT_SAT32(w[k], corr_rshifts[k] - 2);
}
g_Q26 = Inlines.silk_MUL(
Inlines.silk_DIV32(
((int)((TuningParameters.LTP_SMOOTHING) * ((long)1 << (26)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LTP_SMOOTHING, 26)*/,
Inlines.silk_RSHIFT(((int)((TuningParameters.LTP_SMOOTHING) * ((long)1 << (26)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LTP_SMOOTHING, 26)*/, 10) + temp32), /* Q10 */
Inlines.silk_LSHIFT_SAT32(Inlines.silk_SUB_SAT32((int)m_Q12, Inlines.silk_RSHIFT(d_Q14[k], 2)), 4)); /* Q16 */
temp32 = 0;
for (i = 0; i < SilkConstants.LTP_ORDER; i++)
{
delta_b_Q14[i] = Inlines.silk_max_16(b_Q14[b_Q14_ptr + i], 1638); /* 1638_Q14 = 0.1_Q0 */
temp32 += delta_b_Q14[i]; /* Q14 */
}
temp32 = Inlines.silk_DIV32(g_Q26, temp32); /* Q14 . Q12 */
for (i = 0; i < SilkConstants.LTP_ORDER; i++)
{
b_Q14[b_Q14_ptr + i] = (short)(Inlines.silk_LIMIT_32((int)b_Q14[b_Q14_ptr + i] + Inlines.silk_SMULWB(Inlines.silk_LSHIFT_SAT32(temp32, 4), delta_b_Q14[i]), -16000, 28000));
}
b_Q14_ptr += SilkConstants.LTP_ORDER;
}
}
/// <summary>
///
/// </summary>
/// <param name="LTP_coefs_Q16">[SilkConstants.LTP_ORDER]</param>
/// <param name="LTP_coefs_Q14">[SilkConstants.LTP_ORDER]</param>
/// <param name="LTP_coefs_Q14_ptr"></param>
internal static void silk_fit_LTP(
int[] LTP_coefs_Q16,
short[] LTP_coefs_Q14,
int LTP_coefs_Q14_ptr)
{
int i;
for (i = 0; i < SilkConstants.LTP_ORDER; i++)
{
LTP_coefs_Q14[LTP_coefs_Q14_ptr + i] = (short)Inlines.silk_SAT16(Inlines.silk_RSHIFT_ROUND(LTP_coefs_Q16[i], 2));
}
}
}
}