680 lines
20 KiB
C
680 lines
20 KiB
C
/*
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* ECHO_CAN_MG2
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*
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* by Michael Gernoth
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*
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* Based upon kb1ec.h and mec2.h
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*
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* Copyright (C) 2002, Digium, Inc.
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*
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* This program is free software and may be used and
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* distributed according to the terms of the GNU
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* General Public License, incorporated herein by
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* reference.
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*
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* Additional background on the techniques used in this code can be found in:
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*
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* Messerschmitt, David; Hedberg, David; Cole, Christopher; Haoui, Amine;
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* Winship, Peter; "Digital Voice Echo Canceller with a TMS32020,"
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* in Digital Signal Processing Applications with the TMS320 Family,
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* pp. 415-437, Texas Instruments, Inc., 1986.
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*
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* A pdf of which is available by searching on the document title at http://www.ti.com/
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*
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*/
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#ifndef _MG2_ECHO_H
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#define _MG2_ECHO_H
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#ifdef __KERNEL__
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#include <linux/kernel.h>
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#include <linux/slab.h>
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#define MALLOC(a) kmalloc((a), GFP_KERNEL)
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#define FREE(a) kfree(a)
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#else
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#include <stdlib.h>
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#include <unistd.h>
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#include <stdint.h>
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#include <string.h>
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#include <math.h>
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#define MALLOC(a) malloc(a)
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#define FREE(a) free(a)
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#endif
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#define ABS(a) abs(a!=-32768?a:-32767)
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#define RESTORE_COEFFS {\
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int x;\
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memcpy(ec->a_i, ec->c_i, ec->N_d*sizeof(int));\
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for (x=0;x<ec->N_d;x++) {\
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ec->a_s[x] = ec->a_i[x] >> 16;\
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}\
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ec->backup = BACKUP;\
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}
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/* Uncomment to provide summary statistics for overall echo can performance every 4000 samples */
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/* #define MEC2_STATS 4000 */
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/* Uncomment to generate per-sample statistics - this will severely degrade system performance and audio quality */
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/* #define MEC2_STATS_DETAILED */
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/* Get optimized routines for math */
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#include "dsp_arith.h"
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/* Bring in definitions for the various constants and thresholds */
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#include "dsp_mg2ec_const.h"
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#ifndef NULL
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#define NULL 0
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#endif
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#ifndef FALSE
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#define FALSE 0
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#endif
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#ifndef TRUE
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#define TRUE (!FALSE)
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#endif
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/* Generic circular buffer definition */
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typedef struct {
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/* Pointer to the relative 'start' of the buffer */
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int idx_d;
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/* The absolute size of the buffer */
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int size_d;
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/* The actual sample - twice as large as we need, however we do store values at idx_d and idx_d+size_d */
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short *buf_d;
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} echo_can_cb_s;
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/* Echo canceller definition */
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struct echo_can_state {
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/* an arbitrary ID for this echo can - this really should be settable from the calling channel... */
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int id;
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/* absolute time - aka. sample number index - essentially the number of samples since this can was init'ed */
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int i_d;
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/* Pre-computed constants */
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/* ---------------------- */
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/* Number of filter coefficents */
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int N_d;
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/* Rate of adaptation of filter */
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int beta2_i;
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/* Accumulators for power computations */
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/* ----------------------------------- */
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/* reference signal power estimate - aka. Average absolute value of y(k) */
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int Ly_i;
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/* ... */
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int Lu_i;
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/* Accumulators for signal detectors */
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/* --------------------------------- */
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/* Power estimate of the recent past of the near-end hybrid signal - aka. Short-time average of: 2 x |s(i)| */
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int s_tilde_i;
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/* Power estimate of the recent past of the far-end receive signal - aka. Short-time average of: |y(i)| */
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int y_tilde_i;
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/* Near end speech detection counter - stores Hangover counter time remaining, in samples */
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int HCNTR_d;
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/* Circular buffers and coefficients */
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/* --------------------------------- */
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/* ... */
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int *a_i;
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/* ... */
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short *a_s;
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/* Backups */
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int *b_i;
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int *c_i;
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/* Reference samples of far-end receive signal */
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echo_can_cb_s y_s;
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/* Reference samples of near-end signal */
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echo_can_cb_s s_s;
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/* Reference samples of near-end signal minus echo estimate */
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echo_can_cb_s u_s;
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/* Reference samples of far-end receive signal used to calculate short-time average */
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echo_can_cb_s y_tilde_s;
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/* Peak far-end receive signal */
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/* --------------------------- */
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/* Highest y_tilde value in the sample buffer */
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short max_y_tilde;
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/* Index of the sample containing the max_y_tilde value */
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int max_y_tilde_pos;
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#ifdef MEC2_STATS
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/* Storage for performance statistics */
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int cntr_nearend_speech_frames;
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int cntr_residualcorrected_frames;
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int cntr_residualcorrected_framesskipped;
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int cntr_coeff_updates;
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int cntr_coeff_missedupdates;
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int avg_Lu_i_toolow;
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int avg_Lu_i_ok;
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#endif
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short lastsig[256];
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int lastpos;
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int backup;
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};
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static inline void init_cb_s(echo_can_cb_s *cb, int len, void *where)
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{
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cb->buf_d = (short *)where;
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cb->idx_d = 0;
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cb->size_d = len;
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}
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static inline void add_cc_s(echo_can_cb_s *cb, short newval)
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{
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/* Can't use modulus because N+M isn't a power of two (generally) */
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cb->idx_d--;
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if (cb->idx_d < (int)0)
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/* Whoops - the pointer to the 'start' wrapped around so reset it to the top of the buffer */
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cb->idx_d += cb->size_d;
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/* Load two copies into memory */
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cb->buf_d[cb->idx_d] = newval;
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cb->buf_d[cb->idx_d + cb->size_d] = newval;
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}
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static inline short get_cc_s(echo_can_cb_s *cb, int pos)
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{
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/* Load two copies into memory */
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return cb->buf_d[cb->idx_d + pos];
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}
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static inline void init_cc(struct echo_can_state *ec, int N, int maxy, int maxu)
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{
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void *ptr = ec;
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unsigned long tmp;
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/* Double-word align past end of state */
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ptr += sizeof(struct echo_can_state);
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tmp = (unsigned long)ptr;
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tmp += 3;
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tmp &= ~3L;
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ptr = (void *)tmp;
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/* Reset parameters */
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ec->N_d = N;
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ec->beta2_i = DEFAULT_BETA1_I;
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/* Allocate coefficient memory */
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ec->a_i = ptr;
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ptr += (sizeof(int) * ec->N_d);
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ec->a_s = ptr;
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ptr += (sizeof(short) * ec->N_d);
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/* Allocate backup memory */
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ec->b_i = ptr;
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ptr += (sizeof(int) * ec->N_d);
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ec->c_i = ptr;
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ptr += (sizeof(int) * ec->N_d);
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/* Reset Y circular buffer (short version) */
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init_cb_s(&ec->y_s, maxy, ptr);
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ptr += (sizeof(short) * (maxy) * 2);
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/* Reset Sigma circular buffer (short version for FIR filter) */
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init_cb_s(&ec->s_s, (1 << DEFAULT_ALPHA_ST_I), ptr);
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ptr += (sizeof(short) * (1 << DEFAULT_ALPHA_ST_I) * 2);
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init_cb_s(&ec->u_s, maxu, ptr);
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ptr += (sizeof(short) * maxu * 2);
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/* Allocate a buffer for the reference signal power computation */
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init_cb_s(&ec->y_tilde_s, ec->N_d, ptr);
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/* Reset the absolute time index */
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ec->i_d = (int)0;
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/* Reset the power computations (for y and u) */
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ec->Ly_i = DEFAULT_CUTOFF_I;
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ec->Lu_i = DEFAULT_CUTOFF_I;
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#ifdef MEC2_STATS
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/* set the identity */
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ec->id = (int)&ptr;
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/* Reset performance stats */
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ec->cntr_nearend_speech_frames = (int)0;
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ec->cntr_residualcorrected_frames = (int)0;
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ec->cntr_residualcorrected_framesskipped = (int)0;
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ec->cntr_coeff_updates = (int)0;
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ec->cntr_coeff_missedupdates = (int)0;
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ec->avg_Lu_i_toolow = (int)0;
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ec->avg_Lu_i_ok = (int)0;
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#endif
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/* Reset the near-end speech detector */
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ec->s_tilde_i = (int)0;
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ec->y_tilde_i = (int)0;
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ec->HCNTR_d = (int)0;
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}
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static inline void echo_can_free(struct echo_can_state *ec)
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{
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FREE(ec);
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}
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static inline short echo_can_update(struct echo_can_state *ec, short iref, short isig)
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{
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/* Declare local variables that are used more than once */
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/* ... */
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int k;
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/* ... */
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int rs;
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/* ... */
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short u;
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/* ... */
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int Py_i;
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/* ... */
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int two_beta_i;
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/* flow A on pg. 428 */
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/* eq. (16): high-pass filter the input to generate the next value;
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* push the current value into the circular buffer
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*
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* sdc_im1_d = sdc_d;
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* sdc_d = sig;
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* s_i_d = sdc_d;
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* s_d = s_i_d;
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* s_i_d = (float)(1.0 - gamma_d) * s_i_d
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* + (float)(0.5 * (1.0 - gamma_d)) * (sdc_d - sdc_im1_d);
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*/
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/* Update the Far-end receive signal circular buffers and accumulators */
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/* ------------------------------------------------------------------- */
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/* Delete the oldest sample from the power estimate accumulator */
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ec->y_tilde_i -= abs(get_cc_s(&ec->y_s, (1 << DEFAULT_ALPHA_YT_I) - 1 )) >> DEFAULT_ALPHA_YT_I;
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/* Add the new sample to the power estimate accumulator */
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ec->y_tilde_i += abs(iref) >> DEFAULT_ALPHA_ST_I;
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/* Push a copy of the new sample into its circular buffer */
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add_cc_s(&ec->y_s, iref);
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/* eq. (2): compute r in fixed-point */
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rs = CONVOLVE2(ec->a_s,
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ec->y_s.buf_d + ec->y_s.idx_d,
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ec->N_d);
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rs >>= 15;
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ec->lastsig[ec->lastpos++] = isig;
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if (ec->lastpos >= 256)
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ec->lastpos = 0;
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for (k=0; k < 256; k++) {
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if (isig != ec->lastsig[k])
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break;
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}
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if (isig == 0) {
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u = 0;
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} else if (k == 256) {
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u = isig;
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} else {
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if (rs < -32768) {
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rs = -32768;
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ec->HCNTR_d = DEFAULT_HANGT;
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RESTORE_COEFFS;
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} else if (rs > 32767) {
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rs = 32767;
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ec->HCNTR_d = DEFAULT_HANGT;
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RESTORE_COEFFS;
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}
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if (ABS(ABS(rs)-ABS(isig)) > MAX_SIGN_ERROR)
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{
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rs = 0;
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RESTORE_COEFFS;
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}
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/* eq. (3): compute the output value (see figure 3) and the error
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* note: the error is the same as the output signal when near-end
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* speech is not present
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*/
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u = isig - rs;
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if (u / isig < 0)
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u = isig - (rs >> 1);
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}
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/* Push a copy of the output value sample into its circular buffer */
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add_cc_s(&ec->u_s, u);
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if (!ec->backup) {
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/* Backup coefficients periodically */
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ec->backup = BACKUP;
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memcpy(ec->c_i,ec->b_i,ec->N_d*sizeof(int));
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memcpy(ec->b_i,ec->a_i,ec->N_d*sizeof(int));
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} else
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ec->backup--;
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/* Update the Near-end hybrid signal circular buffers and accumulators */
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/* ------------------------------------------------------------------- */
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/* Delete the oldest sample from the power estimate accumulator */
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ec->s_tilde_i -= abs(get_cc_s(&ec->s_s, (1 << DEFAULT_ALPHA_ST_I) - 1 ));
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/* Add the new sample to the power estimate accumulator */
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ec->s_tilde_i += abs(isig);
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/* Push a copy of the new sample into it's circular buffer */
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add_cc_s(&ec->s_s, isig);
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/* Push a copy of the current short-time average of the far-end receive signal into it's circular buffer */
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add_cc_s(&ec->y_tilde_s, ec->y_tilde_i);
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/* flow B on pg. 428 */
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/* If the hangover timer isn't running then compute the new convergence factor, otherwise set Py_i to 32768 */
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if (!ec->HCNTR_d) {
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Py_i = (ec->Ly_i >> DEFAULT_SIGMA_LY_I) * (ec->Ly_i >> DEFAULT_SIGMA_LY_I);
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Py_i >>= 15;
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} else {
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Py_i = (1 << 15);
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}
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#if 0
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/* Vary rate of adaptation depending on position in the file
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* Do not do this for the first (DEFAULT_UPDATE_TIME) secs after speech
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* has begun of the file to allow the echo cancellor to estimate the
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* channel accurately
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* Still needs conversion!
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*/
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if (ec->start_speech_d != 0 ){
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if ( ec->i_d > (DEFAULT_T0 + ec->start_speech_d)*(SAMPLE_FREQ) ){
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ec->beta2_d = max_cc_float(MIN_BETA, DEFAULT_BETA1 * exp((-1/DEFAULT_TAU)*((ec->i_d/(float)SAMPLE_FREQ) - DEFAULT_T0 - ec->start_speech_d)));
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}
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} else {
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ec->beta2_d = DEFAULT_BETA1;
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}
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#endif
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/* Fixed point, inverted */
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ec->beta2_i = DEFAULT_BETA1_I;
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/* Fixed point version, inverted */
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two_beta_i = (ec->beta2_i * Py_i) >> 15;
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if (!two_beta_i)
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two_beta_i++;
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/* Update the Suppressed signal power estimate accumulator */
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/* ------------------------------------------------------- */
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/* Delete the oldest sample from the power estimate accumulator */
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ec->Lu_i -= abs(get_cc_s(&ec->u_s, (1 << DEFAULT_SIGMA_LU_I) - 1 )) ;
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/* Add the new sample to the power estimate accumulator */
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ec->Lu_i += abs(u);
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/* Update the Far-end reference signal power estimate accumulator */
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/* -------------------------------------------------------------- */
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/* eq. (10): update power estimate of the reference */
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/* Delete the oldest sample from the power estimate accumulator */
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ec->Ly_i -= abs(get_cc_s(&ec->y_s, (1 << DEFAULT_SIGMA_LY_I) - 1)) ;
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/* Add the new sample to the power estimate accumulator */
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ec->Ly_i += abs(iref);
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if (ec->Ly_i < DEFAULT_CUTOFF_I)
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ec->Ly_i = DEFAULT_CUTOFF_I;
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/* Update the Peak far-end receive signal detected */
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/* ----------------------------------------------- */
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if (ec->y_tilde_i > ec->max_y_tilde) {
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/* New highest y_tilde with full life */
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ec->max_y_tilde = ec->y_tilde_i;
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ec->max_y_tilde_pos = ec->N_d - 1;
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} else if (--ec->max_y_tilde_pos < 0) {
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/* Time to find new max y tilde... */
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ec->max_y_tilde = MAX16(ec->y_tilde_s.buf_d + ec->y_tilde_s.idx_d, ec->N_d, &ec->max_y_tilde_pos);
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}
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/* Determine if near end speech was detected in this sample */
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/* -------------------------------------------------------- */
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if (((ec->s_tilde_i >> (DEFAULT_ALPHA_ST_I - 1)) > ec->max_y_tilde)
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&& (ec->max_y_tilde > 0)) {
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/* Then start the Hangover counter */
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ec->HCNTR_d = DEFAULT_HANGT;
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RESTORE_COEFFS;
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#ifdef MEC2_STATS_DETAILED
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printk(KERN_INFO "Reset near end speech timer with: s_tilde_i %d, stmnt %d, max_y_tilde %d\n", ec->s_tilde_i, (ec->s_tilde_i >> (DEFAULT_ALPHA_ST_I - 1)), ec->max_y_tilde);
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#endif
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#ifdef MEC2_STATS
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++ec->cntr_nearend_speech_frames;
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#endif
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} else if (ec->HCNTR_d > (int)0) {
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/* otherwise, if it's still non-zero, decrement the Hangover counter by one sample */
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#ifdef MEC2_STATS
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++ec->cntr_nearend_speech_frames;
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#endif
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ec->HCNTR_d--;
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}
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/* Update coefficients if no near-end speech in this sample (ie. HCNTR_d = 0)
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* and we have enough signal to bother trying to update.
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* --------------------------------------------------------------------------
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*/
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if (!ec->HCNTR_d && /* no near-end speech present */
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!(ec->i_d % DEFAULT_M)) { /* we only update on every DEFAULM_M'th sample from the stream */
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if (ec->Lu_i > MIN_UPDATE_THRESH_I) { /* there is sufficient energy above the noise floor to contain meaningful data */
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/* so loop over all the filter coefficients */
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#ifdef USED_COEFFS
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int max_coeffs[USED_COEFFS];
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int *pos;
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if (ec->N_d > USED_COEFFS)
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memset(max_coeffs, 0, USED_COEFFS*sizeof(int));
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#endif
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#ifdef MEC2_STATS_DETAILED
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printk( KERN_INFO "updating coefficients with: ec->Lu_i %9d\n", ec->Lu_i);
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#endif
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#ifdef MEC2_STATS
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ec->avg_Lu_i_ok = ec->avg_Lu_i_ok + ec->Lu_i;
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++ec->cntr_coeff_updates;
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#endif
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for (k=0; k < ec->N_d; k++) {
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/* eq. (7): compute an expectation over M_d samples */
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int grad2;
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grad2 = CONVOLVE2(ec->u_s.buf_d + ec->u_s.idx_d,
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ec->y_s.buf_d + ec->y_s.idx_d + k,
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DEFAULT_M);
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/* eq. (7): update the coefficient */
|
|
ec->a_i[k] += grad2 / two_beta_i;
|
|
ec->a_s[k] = ec->a_i[k] >> 16;
|
|
|
|
#ifdef USED_COEFFS
|
|
if (ec->N_d > USED_COEFFS) {
|
|
if (abs(ec->a_i[k]) > max_coeffs[USED_COEFFS-1]) {
|
|
/* More or less insertion-sort... */
|
|
pos = max_coeffs;
|
|
while (*pos > abs(ec->a_i[k]))
|
|
pos++;
|
|
|
|
if (*pos > max_coeffs[USED_COEFFS-1])
|
|
memmove(pos+1, pos, (USED_COEFFS-(pos-max_coeffs)-1)*sizeof(int));
|
|
|
|
*pos = abs(ec->a_i[k]);
|
|
}
|
|
}
|
|
#endif
|
|
}
|
|
|
|
#ifdef USED_COEFFS
|
|
/* Filter out irrelevant coefficients */
|
|
if (ec->N_d > USED_COEFFS)
|
|
for (k=0; k < ec->N_d; k++)
|
|
if (abs(ec->a_i[k]) < max_coeffs[USED_COEFFS-1])
|
|
ec->a_i[k] = ec->a_s[k] = 0;
|
|
#endif
|
|
} else {
|
|
#ifdef MEC2_STATS_DETAILED
|
|
printk( KERN_INFO "insufficient signal to update coefficients ec->Lu_i %5d < %5d\n", ec->Lu_i, MIN_UPDATE_THRESH_I);
|
|
#endif
|
|
#ifdef MEC2_STATS
|
|
ec->avg_Lu_i_toolow = ec->avg_Lu_i_toolow + ec->Lu_i;
|
|
++ec->cntr_coeff_missedupdates;
|
|
#endif
|
|
}
|
|
}
|
|
|
|
/* paragraph below eq. (15): if no near-end speech in the sample and
|
|
* the reference signal power estimate > cutoff threshold
|
|
* then perform residual error suppression
|
|
*/
|
|
#ifdef MEC2_STATS_DETAILED
|
|
if (ec->HCNTR_d == 0)
|
|
printk( KERN_INFO "possibily correcting frame with ec->Ly_i %9d ec->Lu_i %9d and expression %d\n", ec->Ly_i, ec->Lu_i, (ec->Ly_i/(ec->Lu_i + 1)));
|
|
#endif
|
|
|
|
#ifndef NO_ECHO_SUPPRESSOR
|
|
#ifdef AGGRESSIVE_SUPPRESSOR
|
|
if ((ec->HCNTR_d < AGGRESSIVE_HCNTR) && (ec->Ly_i > (ec->Lu_i << 1))) {
|
|
for (k=0; k < RESIDUAL_SUPRESSION_PASSES; k++) {
|
|
u = u * (ec->Lu_i >> DEFAULT_SIGMA_LU_I) / ((ec->Ly_i >> (DEFAULT_SIGMA_LY_I)) + 1);
|
|
}
|
|
#ifdef MEC2_STATS_DETAILED
|
|
printk( KERN_INFO "aggresively correcting frame with ec->Ly_i %9d ec->Lu_i %9d expression %d\n", ec->Ly_i, ec->Lu_i, (ec->Ly_i/(ec->Lu_i + 1)));
|
|
#endif
|
|
#ifdef MEC2_STATS
|
|
++ec->cntr_residualcorrected_frames;
|
|
#endif
|
|
}
|
|
#else
|
|
if (ec->HCNTR_d == 0) {
|
|
if ((ec->Ly_i/(ec->Lu_i + 1)) > DEFAULT_SUPPR_I) {
|
|
for (k=0; k < RESIDUAL_SUPRESSION_PASSES; k++) {
|
|
u = u * (ec->Lu_i >> DEFAULT_SIGMA_LU_I) / ((ec->Ly_i >> (DEFAULT_SIGMA_LY_I + 2)) + 1);
|
|
}
|
|
#ifdef MEC2_STATS_DETAILED
|
|
printk( KERN_INFO "correcting frame with ec->Ly_i %9d ec->Lu_i %9d expression %d\n", ec->Ly_i, ec->Lu_i, (ec->Ly_i/(ec->Lu_i + 1)));
|
|
#endif
|
|
#ifdef MEC2_STATS
|
|
++ec->cntr_residualcorrected_frames;
|
|
#endif
|
|
}
|
|
#ifdef MEC2_STATS
|
|
else {
|
|
++ec->cntr_residualcorrected_framesskipped;
|
|
}
|
|
#endif
|
|
}
|
|
#endif
|
|
#endif
|
|
|
|
#if 0
|
|
/* This will generate a non-linear supression factor, once converted */
|
|
if ((ec->HCNTR_d == 0) &&
|
|
((ec->Lu_d/ec->Ly_d) < DEFAULT_SUPPR) &&
|
|
(ec->Lu_d/ec->Ly_d > EC_MIN_DB_VALUE)) {
|
|
suppr_factor = (10 / (float)(SUPPR_FLOOR - SUPPR_CEIL)) * log(ec->Lu_d/ec->Ly_d)
|
|
- SUPPR_CEIL / (float)(SUPPR_FLOOR - SUPPR_CEIL);
|
|
u_suppr = pow(10.0, (suppr_factor) * RES_SUPR_FACTOR / 10.0) * u_suppr;
|
|
}
|
|
#endif
|
|
|
|
#ifdef MEC2_STATS
|
|
/* Periodically dump performance stats */
|
|
if ((ec->i_d % MEC2_STATS) == 0) {
|
|
/* make sure to avoid div0's! */
|
|
if (ec->cntr_coeff_missedupdates > 0)
|
|
ec->avg_Lu_i_toolow = (int)(ec->avg_Lu_i_toolow / ec->cntr_coeff_missedupdates);
|
|
else
|
|
ec->avg_Lu_i_toolow = -1;
|
|
|
|
if (ec->cntr_coeff_updates > 0)
|
|
ec->avg_Lu_i_ok = (ec->avg_Lu_i_ok / ec->cntr_coeff_updates);
|
|
else
|
|
ec->avg_Lu_i_ok = -1;
|
|
|
|
printk( KERN_INFO "%d: Near end speech: %5d Residuals corrected/skipped: %5d/%5d Coefficients updated ok/low sig: %3d/%3d Lu_i avg ok/low sig %6d/%5d\n",
|
|
ec->id,
|
|
ec->cntr_nearend_speech_frames,
|
|
ec->cntr_residualcorrected_frames, ec->cntr_residualcorrected_framesskipped,
|
|
ec->cntr_coeff_updates, ec->cntr_coeff_missedupdates,
|
|
ec->avg_Lu_i_ok, ec->avg_Lu_i_toolow);
|
|
|
|
ec->cntr_nearend_speech_frames = 0;
|
|
ec->cntr_residualcorrected_frames = 0;
|
|
ec->cntr_residualcorrected_framesskipped = 0;
|
|
ec->cntr_coeff_updates = 0;
|
|
ec->cntr_coeff_missedupdates = 0;
|
|
ec->avg_Lu_i_ok = 0;
|
|
ec->avg_Lu_i_toolow = 0;
|
|
}
|
|
#endif
|
|
|
|
/* Increment the sample index and return the corrected sample */
|
|
ec->i_d++;
|
|
return u;
|
|
}
|
|
|
|
static inline struct echo_can_state *echo_can_create(int len, int adaption_mode)
|
|
{
|
|
struct echo_can_state *ec;
|
|
int maxy;
|
|
int maxu;
|
|
maxy = len + DEFAULT_M;
|
|
maxu = DEFAULT_M;
|
|
if (maxy < (1 << DEFAULT_ALPHA_YT_I))
|
|
maxy = (1 << DEFAULT_ALPHA_YT_I);
|
|
if (maxy < (1 << DEFAULT_SIGMA_LY_I))
|
|
maxy = (1 << DEFAULT_SIGMA_LY_I);
|
|
if (maxu < (1 << DEFAULT_SIGMA_LU_I))
|
|
maxu = (1 << DEFAULT_SIGMA_LU_I);
|
|
ec = (struct echo_can_state *)MALLOC(sizeof(struct echo_can_state) +
|
|
4 + /* align */
|
|
sizeof(int) * len + /* a_i */
|
|
sizeof(short) * len + /* a_s */
|
|
sizeof(int) * len + /* b_i */
|
|
sizeof(int) * len + /* c_i */
|
|
2 * sizeof(short) * (maxy) + /* y_s */
|
|
2 * sizeof(short) * (1 << DEFAULT_ALPHA_ST_I) + /* s_s */
|
|
2 * sizeof(short) * (maxu) + /* u_s */
|
|
2 * sizeof(short) * len); /* y_tilde_s */
|
|
if (ec) {
|
|
memset(ec, 0, sizeof(struct echo_can_state) +
|
|
4 + /* align */
|
|
sizeof(int) * len + /* a_i */
|
|
sizeof(short) * len + /* a_s */
|
|
sizeof(int) * len + /* b_i */
|
|
sizeof(int) * len + /* c_i */
|
|
2 * sizeof(short) * (maxy) + /* y_s */
|
|
2 * sizeof(short) * (1 << DEFAULT_ALPHA_ST_I) + /* s_s */
|
|
2 * sizeof(short) * (maxu) + /* u_s */
|
|
2 * sizeof(short) * len); /* y_tilde_s */
|
|
init_cc(ec, len, maxy, maxu);
|
|
}
|
|
return ec;
|
|
}
|
|
|
|
static inline int echo_can_traintap(struct echo_can_state *ec, int pos, short val)
|
|
{
|
|
/* Set the hangover counter to the length of the can to
|
|
* avoid adjustments occuring immediately after initial forced training
|
|
*/
|
|
ec->HCNTR_d = ec->N_d << 1;
|
|
|
|
if (pos >= ec->N_d) {
|
|
memcpy(ec->b_i,ec->a_i,ec->N_d*sizeof(int));
|
|
memcpy(ec->c_i,ec->a_i,ec->N_d*sizeof(int));
|
|
return 1;
|
|
}
|
|
|
|
ec->a_i[pos] = val << 17;
|
|
ec->a_s[pos] = val << 1;
|
|
|
|
if (++pos >= ec->N_d) {
|
|
memcpy(ec->b_i,ec->a_i,ec->N_d*sizeof(int));
|
|
memcpy(ec->c_i,ec->a_i,ec->N_d*sizeof(int));
|
|
return 1;
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
#endif
|