aboutsummaryrefslogtreecommitdiffstats
path: root/src/main/jni/opus/silk/float/burg_modified_FLP.c
diff options
context:
space:
mode:
Diffstat (limited to 'src/main/jni/opus/silk/float/burg_modified_FLP.c')
-rw-r--r--src/main/jni/opus/silk/float/burg_modified_FLP.c186
1 files changed, 0 insertions, 186 deletions
diff --git a/src/main/jni/opus/silk/float/burg_modified_FLP.c b/src/main/jni/opus/silk/float/burg_modified_FLP.c
deleted file mode 100644
index ea5dc25a9..000000000
--- a/src/main/jni/opus/silk/float/burg_modified_FLP.c
+++ /dev/null
@@ -1,186 +0,0 @@
-/***********************************************************************
-Copyright (c) 2006-2011, Skype Limited. All rights reserved.
-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.
-***********************************************************************/
-
-#ifdef HAVE_CONFIG_H
-#include "config.h"
-#endif
-
-#include "SigProc_FLP.h"
-#include "tuning_parameters.h"
-#include "define.h"
-
-#define MAX_FRAME_SIZE 384 /* subfr_length * nb_subfr = ( 0.005 * 16000 + 16 ) * 4 = 384*/
-
-/* Compute reflection coefficients from input signal */
-silk_float silk_burg_modified_FLP( /* O returns residual energy */
- silk_float A[], /* O prediction coefficients (length order) */
- const silk_float x[], /* I input signal, length: nb_subfr*(D+L_sub) */
- const silk_float minInvGain, /* I minimum inverse prediction gain */
- const opus_int subfr_length, /* I input signal subframe length (incl. D preceding samples) */
- const opus_int nb_subfr, /* I number of subframes stacked in x */
- const opus_int D /* I order */
-)
-{
- opus_int k, n, s, reached_max_gain;
- double C0, invGain, num, nrg_f, nrg_b, rc, Atmp, tmp1, tmp2;
- const silk_float *x_ptr;
- double C_first_row[ SILK_MAX_ORDER_LPC ], C_last_row[ SILK_MAX_ORDER_LPC ];
- double CAf[ SILK_MAX_ORDER_LPC + 1 ], CAb[ SILK_MAX_ORDER_LPC + 1 ];
- double Af[ SILK_MAX_ORDER_LPC ];
-
- silk_assert( subfr_length * nb_subfr <= MAX_FRAME_SIZE );
-
- /* Compute autocorrelations, added over subframes */
- C0 = silk_energy_FLP( x, nb_subfr * subfr_length );
- silk_memset( C_first_row, 0, SILK_MAX_ORDER_LPC * sizeof( double ) );
- for( s = 0; s < nb_subfr; s++ ) {
- x_ptr = x + s * subfr_length;
- for( n = 1; n < D + 1; n++ ) {
- C_first_row[ n - 1 ] += silk_inner_product_FLP( x_ptr, x_ptr + n, subfr_length - n );
- }
- }
- silk_memcpy( C_last_row, C_first_row, SILK_MAX_ORDER_LPC * sizeof( double ) );
-
- /* Initialize */
- CAb[ 0 ] = CAf[ 0 ] = C0 + FIND_LPC_COND_FAC * C0 + 1e-9f;
- invGain = 1.0f;
- reached_max_gain = 0;
- for( n = 0; n < D; n++ ) {
- /* Update first row of correlation matrix (without first element) */
- /* Update last row of correlation matrix (without last element, stored in reversed order) */
- /* Update C * Af */
- /* Update C * flipud(Af) (stored in reversed order) */
- for( s = 0; s < nb_subfr; s++ ) {
- x_ptr = x + s * subfr_length;
- tmp1 = x_ptr[ n ];
- tmp2 = x_ptr[ subfr_length - n - 1 ];
- for( k = 0; k < n; k++ ) {
- C_first_row[ k ] -= x_ptr[ n ] * x_ptr[ n - k - 1 ];
- C_last_row[ k ] -= x_ptr[ subfr_length - n - 1 ] * x_ptr[ subfr_length - n + k ];
- Atmp = Af[ k ];
- tmp1 += x_ptr[ n - k - 1 ] * Atmp;
- tmp2 += x_ptr[ subfr_length - n + k ] * Atmp;
- }
- for( k = 0; k <= n; k++ ) {
- CAf[ k ] -= tmp1 * x_ptr[ n - k ];
- CAb[ k ] -= tmp2 * x_ptr[ subfr_length - n + k - 1 ];
- }
- }
- tmp1 = C_first_row[ n ];
- tmp2 = C_last_row[ n ];
- for( k = 0; k < n; k++ ) {
- Atmp = Af[ k ];
- tmp1 += C_last_row[ n - k - 1 ] * Atmp;
- tmp2 += C_first_row[ n - k - 1 ] * Atmp;
- }
- CAf[ n + 1 ] = tmp1;
- CAb[ n + 1 ] = tmp2;
-
- /* Calculate nominator and denominator for the next order reflection (parcor) coefficient */
- num = CAb[ n + 1 ];
- nrg_b = CAb[ 0 ];
- nrg_f = CAf[ 0 ];
- for( k = 0; k < n; k++ ) {
- Atmp = Af[ k ];
- num += CAb[ n - k ] * Atmp;
- nrg_b += CAb[ k + 1 ] * Atmp;
- nrg_f += CAf[ k + 1 ] * Atmp;
- }
- silk_assert( nrg_f > 0.0 );
- silk_assert( nrg_b > 0.0 );
-
- /* Calculate the next order reflection (parcor) coefficient */
- rc = -2.0 * num / ( nrg_f + nrg_b );
- silk_assert( rc > -1.0 && rc < 1.0 );
-
- /* Update inverse prediction gain */
- tmp1 = invGain * ( 1.0 - rc * rc );
- if( tmp1 <= minInvGain ) {
- /* Max prediction gain exceeded; set reflection coefficient such that max prediction gain is exactly hit */
- rc = sqrt( 1.0 - minInvGain / invGain );
- if( num > 0 ) {
- /* Ensure adjusted reflection coefficients has the original sign */
- rc = -rc;
- }
- invGain = minInvGain;
- reached_max_gain = 1;
- } else {
- invGain = tmp1;
- }
-
- /* Update the AR coefficients */
- for( k = 0; k < (n + 1) >> 1; k++ ) {
- tmp1 = Af[ k ];
- tmp2 = Af[ n - k - 1 ];
- Af[ k ] = tmp1 + rc * tmp2;
- Af[ n - k - 1 ] = tmp2 + rc * tmp1;
- }
- Af[ n ] = rc;
-
- if( reached_max_gain ) {
- /* Reached max prediction gain; set remaining coefficients to zero and exit loop */
- for( k = n + 1; k < D; k++ ) {
- Af[ k ] = 0.0;
- }
- break;
- }
-
- /* Update C * Af and C * Ab */
- for( k = 0; k <= n + 1; k++ ) {
- tmp1 = CAf[ k ];
- CAf[ k ] += rc * CAb[ n - k + 1 ];
- CAb[ n - k + 1 ] += rc * tmp1;
- }
- }
-
- if( reached_max_gain ) {
- /* Convert to silk_float */
- for( k = 0; k < D; k++ ) {
- A[ k ] = (silk_float)( -Af[ k ] );
- }
- /* Subtract energy of preceding samples from C0 */
- for( s = 0; s < nb_subfr; s++ ) {
- C0 -= silk_energy_FLP( x + s * subfr_length, D );
- }
- /* Approximate residual energy */
- nrg_f = C0 * invGain;
- } else {
- /* Compute residual energy and store coefficients as silk_float */
- nrg_f = CAf[ 0 ];
- tmp1 = 1.0;
- for( k = 0; k < D; k++ ) {
- Atmp = Af[ k ];
- nrg_f += CAf[ k + 1 ] * Atmp;
- tmp1 += Atmp * Atmp;
- A[ k ] = (silk_float)(-Atmp);
- }
- nrg_f -= FIND_LPC_COND_FAC * C0 * tmp1;
- }
-
- /* Return residual energy */
- return (silk_float)nrg_f;
-}