// Copyright 2015-2016 Espressif Systems (Shanghai) PTE LTD // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include #include #include #include "common/bt_target.h" #include "sbc_plc.h" #if (PLC_INCLUDED == TRUE) /* msbc */ static const uint8_t indices0[] = { 0xad, 0x00, 0x00, 0xc5, 0x00, 0x00, 0x00, 0x00, 0x77, 0x6d, 0xb6, 0xdd, 0xdb, 0x6d, 0xb7, 0x76, 0xdb, 0x6d, 0xdd, 0xb6, 0xdb, 0x77, 0x6d, 0xb6, 0xdd, 0xdb, 0x6d, 0xb7, 0x76, 0xdb, 0x6d, 0xdd, 0xb6, 0xdb, 0x77, 0x6d, 0xb6, 0xdd, 0xdb, 0x6d, 0xb7, 0x76, 0xdb, 0x6d, 0xdd, 0xb6, 0xdb, 0x77, 0x6d, 0xb6, 0xdd, 0xdb, 0x6d, 0xb7, 0x76, 0xdb, 0x6c}; /* 8 kHZ */ static const int16_t indices0_pcm[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}; /* Raised COSine table for OLA */ /* 16 kHZ */ static float rcos[SBC_OLAL] = { 0.99148655f,0.96623611f,0.92510857f,0.86950446f, 0.80131732f,0.72286918f,0.63683150f,0.54613418f, 0.45386582f,0.36316850f,0.27713082f,0.19868268f, 0.13049554f,0.07489143f,0.03376389f,0.00851345f}; // /* 8 kHZ */ // static float rcos[SBC_OLAL] = { // 0.96984631f,0.88302222f, 0.75f,0.58682409f, // 0.41317591f, 0.25f,0.11697778f,0.09015369f}; static float SqrtByCarmack(const float x){ int i; float x2, y; const float threehalfs = 1.5f; x2 = x * 0.5f; y = x; i = *(int *)&y; i = 0x5f375a86 - (i >> 1); y = *(float *)&i; y = y * (threehalfs - (x2 * y *y)); // y = y * (threehalfs - (x2 * y *y)); // y = y * (threehalfs - (x2 * y *y)); return (x * y); } static float absolute(float x){ if (x < 0) { x = -x; } return x; } /** * Compute the cross correlation according to Eq. (4) of Goodman * paper, except that the true correlation is used. His formula * seems to be incorrect. * * @param x pointer to x input vector * @param y pointer to y input vector * * @return value containing the cross-correlation of x and y */ static float CrossCorrelation(int16_t *x, int16_t *y){ int m; float num = 0; float den = 0; float x2 = 0; float y2 = 0; for (m = 0; m < SBC_M; m++) { num += ((float)x[m]) * y[m]; x2 += ((float)x[m]) * x[m]; y2 += ((float)y[m]) * y[m]; } den = (float)SqrtByCarmack(x2 * y2); return num / den; } /** * Perform pattern matching to find the match of template with the * history buffer according to Section B of Goodman paper. * * @param y pointer to history buffer * * @return the lag corresponding to the best match. The lag is * with respect to the beginning of the history buffer. * */ static int PatternMatch(int16_t *y){ int n; float maxCn = -999999.0; // large negative number float Cn; int bestmatch = 0; for (n = 0; n < SBC_N; n++){ Cn = CrossCorrelation(&y[SBC_LHIST-SBC_M], &y[n]); if (Cn > maxCn){ bestmatch = n; maxCn = Cn; } } return bestmatch; } /** * Perform amplitude matching using mean-absolute-value according * to Goodman paper. * * @param y pointer to history buffer * @param bestmatch value of the lag to the best match * * @return scale factor */ static float AmplitudeMatch(int16_t *y, int16_t bestmatch) { int i; float sumx = 0; float sumy = 0.000001f; float sf; for (i = 0; i < SBC_FS; i++){ sumx += absolute(y[SBC_LHIST - SBC_FS + i]); sumy += absolute(y[bestmatch + i]); } sf = sumx / sumy; // This is not in the paper, but limit the scaling factor to something reasonable to avoid creating artifacts if (sf < 0.75f) { sf = 0.75f; } if (sf > 1.2f) { sf = 1.2f; } return sf; } static int16_t crop_sample(float val){ float croped_val = val; if (croped_val > 32767.0) croped_val= 32767.0; if (croped_val < -32768.0) croped_val=-32768.0; return (int16_t) croped_val; } /** * Get a zero signal eSCO frame * @return pointer to data buffer */ uint8_t * sbc_plc_zero_signal_frame(void){ return (uint8_t *)&indices0; } /** * Get a zero signal eSCO pcm frame * @return pointer to data buffer */ int16_t * sbc_plc_zero_signal_frame_pcm(void){ return (int16_t *)&indices0_pcm; } /** * Perform PLC initialization of memory vectors. * * @param plc_state pointer to PLC state memory */ void sbc_plc_init(sbc_plc_state_t *plc_state){ plc_state->nbf=0; plc_state->bestlag=0; memset(plc_state->hist, 0, sizeof(plc_state->hist)); } /** * Perform PLC deinitialization of memory vectors. * * @param plc_state pointer to PLC state memory */ void sbc_plc_deinit(sbc_plc_state_t *plc_state){ plc_state->nbf=0; plc_state->bestlag=0; memset(plc_state->hist, 0, sizeof(plc_state->hist)); } /** * Perform bad frame processing. * * @param plc_state pointer to PLC state memory * @param ZIRbuf pointer to the ZIR response of the SBC decoder * @param out pointer to the output samples */ void sbc_plc_bad_frame(sbc_plc_state_t *plc_state, int16_t *ZIRbuf, int16_t *out){ int i = 0; float val; float sf = 1; plc_state->nbf++; if (plc_state->nbf == 1){ // Perform pattern matching to find where to replicate plc_state->bestlag = PatternMatch(plc_state->hist); // the replication begins after the template match plc_state->bestlag += SBC_M; // Compute Scale Factor to Match Amplitude of Substitution Packet to that of Preceding Packet sf = AmplitudeMatch(plc_state->hist, plc_state->bestlag); for (i = 0; i < SBC_OLAL; i++){ val = ZIRbuf[i] * rcos[i] + sf * plc_state->hist[plc_state->bestlag + i] * rcos[SBC_OLAL - i - 1]; plc_state->hist[SBC_LHIST + i] = crop_sample(val); } for (; i < SBC_FS; i++){ val = sf*plc_state->hist[plc_state->bestlag + i]; plc_state->hist[SBC_LHIST + i] = crop_sample(val); } for (; i < SBC_FS + SBC_OLAL; i++){ val = sf * plc_state->hist[plc_state->bestlag + i] * rcos[i-SBC_FS] + plc_state->hist[plc_state->bestlag + i] * rcos[SBC_OLAL - 1 - i + SBC_FS]; plc_state->hist[SBC_LHIST + i] = crop_sample(val); } for (; i < SBC_FS + SBC_RT + SBC_OLAL; i++){ plc_state->hist[SBC_LHIST + i] = plc_state->hist[plc_state->bestlag + i]; } } else { for ( ;i < SBC_FS + SBC_RT + SBC_OLAL; i++){ plc_state->hist[SBC_LHIST + i] = plc_state->hist[plc_state->bestlag + i]; } } for (i = 0; i < SBC_FS; i++){ out[i] = plc_state->hist[SBC_LHIST + i]; } // shift the history buffer for (i = 0; i < SBC_LHIST + SBC_RT + SBC_OLAL; i++){ plc_state->hist[i] = plc_state->hist[i + SBC_FS]; } } /** * Perform good frame processing. Most of the time, this function * just updates history buffers and passes the input to the output, * but in the first good frame after frame loss, it must conceal the * received signal as it reconverges with the true output. * * @param plc_state pointer to PLC state memory * @param in pointer to the input vector * @param out pointer to the output samples */ void sbc_plc_good_frame(sbc_plc_state_t *plc_state, int16_t *in, int16_t *out){ int i = 0; if (plc_state->nbf > 0){ for (i = 0; i < SBC_RT; i++){ out[i] = plc_state->hist[SBC_LHIST + i]; } for (i = SBC_RT; i < SBC_RT + SBC_OLAL; i++){ out[i] = (int16_t)(plc_state->hist[SBC_LHIST + i] * rcos[i - SBC_RT] + in[i] * rcos[SBC_OLAL - 1 - i + SBC_RT]); } } for (; i < SBC_FS; i++){ out[i] = in[i]; } // Copy the output to the history buffer for (i = 0; i < SBC_FS; i++){ plc_state->hist[SBC_LHIST + i] = out[i]; } // shift the history buffer for (i = 0; i < SBC_LHIST; i++){ plc_state->hist[i] = plc_state->hist[i + SBC_FS]; } plc_state->nbf = 0; } #endif ///(PLC_INCLUDED == TRUE)