/* libdemac - A Monkey's Audio decoder $Id$ Copyright (C) Dave Chapman 2007 This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110, USA */ #include #include #include "parser.h" #include "predictor.h" /* Return 0 if x is zero, -1 if x is positive, 1 if x is negative */ #define SIGN(x) (x) ? (((x) > 0) ? -1 : 1) : 0 static const int32_t initial_coeffs[4] = { 360, 317, -109, 98 }; #define YDELAYA (18 + PREDICTOR_ORDER*4) #define YDELAYB (18 + PREDICTOR_ORDER*3) #define XDELAYA (18 + PREDICTOR_ORDER*2) #define XDELAYB (18 + PREDICTOR_ORDER) #define YADAPTCOEFFSA (18) #define XADAPTCOEFFSA (14) #define YADAPTCOEFFSB (10) #define XADAPTCOEFFSB (5) void init_predictor_decoder(struct predictor_t* p) { /* Zero the history buffers */ memset(p->historybuffer, 0, PREDICTOR_SIZE * sizeof(int32_t)); p->buf = p->historybuffer; /* Initialise and zero the co-efficients */ memcpy(p->YcoeffsA, initial_coeffs, sizeof(initial_coeffs)); memcpy(p->XcoeffsA, initial_coeffs, sizeof(initial_coeffs)); memset(p->YcoeffsB, 0, sizeof(p->YcoeffsB)); memset(p->XcoeffsB, 0, sizeof(p->XcoeffsB)); p->YfilterA = 0; p->YfilterB = 0; p->YlastA = 0; p->XfilterA = 0; p->XfilterB = 0; p->XlastA = 0; } #if !defined(CPU_ARM) && !defined(CPU_COLDFIRE) int predictor_decode_stereo(struct predictor_t* p, int32_t* decoded0, int32_t* decoded1, int count) { int32_t predictionA, predictionB; while (count--) { /* Predictor Y */ p->buf[YDELAYA] = p->YlastA; p->buf[YADAPTCOEFFSA] = SIGN(p->buf[YDELAYA]); p->buf[YDELAYA-1] = p->buf[YDELAYA] - p->buf[YDELAYA-1]; p->buf[YADAPTCOEFFSA-1] = SIGN(p->buf[YDELAYA-1]); predictionA = (p->buf[YDELAYA] * p->YcoeffsA[0]) + (p->buf[YDELAYA-1] * p->YcoeffsA[1]) + (p->buf[YDELAYA-2] * p->YcoeffsA[2]) + (p->buf[YDELAYA-3] * p->YcoeffsA[3]); /* Apply a scaled first-order filter compression */ p->buf[YDELAYB] = p->XfilterA - ((p->YfilterB * 31) >> 5); p->buf[YADAPTCOEFFSB] = SIGN(p->buf[YDELAYB]); p->YfilterB = p->XfilterA; p->buf[YDELAYB-1] = p->buf[YDELAYB] - p->buf[YDELAYB-1]; p->buf[YADAPTCOEFFSB-1] = SIGN(p->buf[YDELAYB-1]); predictionB = (p->buf[YDELAYB] * p->YcoeffsB[0]) + (p->buf[YDELAYB-1] * p->YcoeffsB[1]) + (p->buf[YDELAYB-2] * p->YcoeffsB[2]) + (p->buf[YDELAYB-3] * p->YcoeffsB[3]) + (p->buf[YDELAYB-4] * p->YcoeffsB[4]); p->YlastA = *decoded0 + ((predictionA + (predictionB >> 1)) >> 10); p->YfilterA = p->YlastA + ((p->YfilterA * 31) >> 5); /* Predictor X */ p->buf[XDELAYA] = p->XlastA; p->buf[XADAPTCOEFFSA] = SIGN(p->buf[XDELAYA]); p->buf[XDELAYA-1] = p->buf[XDELAYA] - p->buf[XDELAYA-1]; p->buf[XADAPTCOEFFSA-1] = SIGN(p->buf[XDELAYA-1]); predictionA = (p->buf[XDELAYA] * p->XcoeffsA[0]) + (p->buf[XDELAYA-1] * p->XcoeffsA[1]) + (p->buf[XDELAYA-2] * p->XcoeffsA[2]) + (p->buf[XDELAYA-3] * p->XcoeffsA[3]); /* Apply a scaled first-order filter compression */ p->buf[XDELAYB] = p->YfilterA - ((p->XfilterB * 31) >> 5); p->buf[XADAPTCOEFFSB] = SIGN(p->buf[XDELAYB]); p->XfilterB = p->YfilterA; p->buf[XDELAYB-1] = p->buf[XDELAYB] - p->buf[XDELAYB-1]; p->buf[XADAPTCOEFFSB-1] = SIGN(p->buf[XDELAYB-1]); predictionB = (p->buf[XDELAYB] * p->XcoeffsB[0]) + (p->buf[XDELAYB-1] * p->XcoeffsB[1]) + (p->buf[XDELAYB-2] * p->XcoeffsB[2]) + (p->buf[XDELAYB-3] * p->XcoeffsB[3]) + (p->buf[XDELAYB-4] * p->XcoeffsB[4]); p->XlastA = *decoded1 + ((predictionA + (predictionB >> 1)) >> 10); p->XfilterA = p->XlastA + ((p->XfilterA * 31) >> 5); if (*decoded0 > 0) { p->YcoeffsA[0] -= p->buf[YADAPTCOEFFSA]; p->YcoeffsA[1] -= p->buf[YADAPTCOEFFSA-1]; p->YcoeffsA[2] -= p->buf[YADAPTCOEFFSA-2]; p->YcoeffsA[3] -= p->buf[YADAPTCOEFFSA-3]; p->YcoeffsB[0] -= p->buf[YADAPTCOEFFSB]; p->YcoeffsB[1] -= p->buf[YADAPTCOEFFSB-1]; p->YcoeffsB[2] -= p->buf[YADAPTCOEFFSB-2]; p->YcoeffsB[3] -= p->buf[YADAPTCOEFFSB-3]; p->YcoeffsB[4] -= p->buf[YADAPTCOEFFSB-4]; } else if (*decoded0 < 0) { p->YcoeffsA[0] += p->buf[YADAPTCOEFFSA]; p->YcoeffsA[1] += p->buf[YADAPTCOEFFSA-1]; p->YcoeffsA[2] += p->buf[YADAPTCOEFFSA-2]; p->YcoeffsA[3] += p->buf[YADAPTCOEFFSA-3]; p->YcoeffsB[0] += p->buf[YADAPTCOEFFSB]; p->YcoeffsB[1] += p->buf[YADAPTCOEFFSB-1]; p->YcoeffsB[2] += p->buf[YADAPTCOEFFSB-2]; p->YcoeffsB[3] += p->buf[YADAPTCOEFFSB-3]; p->YcoeffsB[4] += p->buf[YADAPTCOEFFSB-4]; } *(decoded0++) = p->YfilterA; if (*decoded1 > 0) { p->XcoeffsA[0] -= p->buf[XADAPTCOEFFSA]; p->XcoeffsA[1] -= p->buf[XADAPTCOEFFSA-1]; p->XcoeffsA[2] -= p->buf[XADAPTCOEFFSA-2]; p->XcoeffsA[3] -= p->buf[XADAPTCOEFFSA-3]; p->XcoeffsB[0] -= p->buf[XADAPTCOEFFSB]; p->XcoeffsB[1] -= p->buf[XADAPTCOEFFSB-1]; p->XcoeffsB[2] -= p->buf[XADAPTCOEFFSB-2]; p->XcoeffsB[3] -= p->buf[XADAPTCOEFFSB-3]; p->XcoeffsB[4] -= p->buf[XADAPTCOEFFSB-4]; } else if (*decoded1 < 0) { p->XcoeffsA[0] += p->buf[XADAPTCOEFFSA]; p->XcoeffsA[1] += p->buf[XADAPTCOEFFSA-1]; p->XcoeffsA[2] += p->buf[XADAPTCOEFFSA-2]; p->XcoeffsA[3] += p->buf[XADAPTCOEFFSA-3]; p->XcoeffsB[0] += p->buf[XADAPTCOEFFSB]; p->XcoeffsB[1] += p->buf[XADAPTCOEFFSB-1]; p->XcoeffsB[2] += p->buf[XADAPTCOEFFSB-2]; p->XcoeffsB[3] += p->buf[XADAPTCOEFFSB-3]; p->XcoeffsB[4] += p->buf[XADAPTCOEFFSB-4]; } *(decoded1++) = p->XfilterA; /* Combined */ p->buf++; /* Have we filled the history buffer? */ if (p->buf == p->historybuffer + HISTORY_SIZE) { memmove(p->historybuffer, p->buf, PREDICTOR_SIZE * sizeof(int32_t)); p->buf = p->historybuffer; } } return 0; } #endif int predictor_decode_mono(struct predictor_t* p, int32_t* decoded0, int count) { int32_t predictionA, currentA, A; currentA = p->YlastA; while (count--) { A = *decoded0; p->buf[YDELAYA] = currentA; p->buf[YDELAYA-1] = p->buf[YDELAYA] - p->buf[YDELAYA-1]; predictionA = (p->buf[YDELAYA] * p->YcoeffsA[0]) + (p->buf[YDELAYA-1] * p->YcoeffsA[1]) + (p->buf[YDELAYA-2] * p->YcoeffsA[2]) + (p->buf[YDELAYA-3] * p->YcoeffsA[3]); currentA = A + (predictionA >> 10); p->buf[YADAPTCOEFFSA] = SIGN(p->buf[YDELAYA]); p->buf[YADAPTCOEFFSA-1] = SIGN(p->buf[YDELAYA-1]); if (A > 0) { p->YcoeffsA[0] -= p->buf[YADAPTCOEFFSA]; p->YcoeffsA[1] -= p->buf[YADAPTCOEFFSA-1]; p->YcoeffsA[2] -= p->buf[YADAPTCOEFFSA-2]; p->YcoeffsA[3] -= p->buf[YADAPTCOEFFSA-3]; } else if (A < 0) { p->YcoeffsA[0] += p->buf[YADAPTCOEFFSA]; p->YcoeffsA[1] += p->buf[YADAPTCOEFFSA-1]; p->YcoeffsA[2] += p->buf[YADAPTCOEFFSA-2]; p->YcoeffsA[3] += p->buf[YADAPTCOEFFSA-3]; } p->buf++; /* Have we filled the history buffer? */ if (p->buf == p->historybuffer + HISTORY_SIZE) { memmove(p->historybuffer, p->buf, PREDICTOR_SIZE * sizeof(int32_t)); p->buf = p->historybuffer; } p->YfilterA = currentA + ((p->YfilterA * 31) >> 5); *(decoded0++) = p->YfilterA; } p->YlastA = currentA; return 0; }