| 1 | /* |
| 2 | * linear least squares model |
| 3 | * |
| 4 | * Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at> |
| 5 | * |
| 6 | * This file is part of FFmpeg. |
| 7 | * |
| 8 | * FFmpeg is free software; you can redistribute it and/or |
| 9 | * modify it under the terms of the GNU Lesser General Public |
| 10 | * License as published by the Free Software Foundation; either |
| 11 | * version 2.1 of the License, or (at your option) any later version. |
| 12 | * |
| 13 | * FFmpeg is distributed in the hope that it will be useful, |
| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
| 16 | * Lesser General Public License for more details. |
| 17 | * |
| 18 | * You should have received a copy of the GNU Lesser General Public |
| 19 | * License along with FFmpeg; if not, write to the Free Software |
| 20 | * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA |
| 21 | */ |
| 22 | |
| 23 | #ifndef AVUTIL_LLS_H |
| 24 | #define AVUTIL_LLS_H |
| 25 | |
| 26 | #include "common.h" |
| 27 | #include "mem.h" |
| 28 | #include "version.h" |
| 29 | |
| 30 | #define MAX_VARS 32 |
| 31 | #define MAX_VARS_ALIGN FFALIGN(MAX_VARS+1,4) |
| 32 | |
| 33 | //FIXME avoid direct access to LLSModel from outside |
| 34 | |
| 35 | /** |
| 36 | * Linear least squares model. |
| 37 | */ |
| 38 | typedef struct LLSModel { |
| 39 | DECLARE_ALIGNED(32, double, covariance[MAX_VARS_ALIGN][MAX_VARS_ALIGN]); |
| 40 | DECLARE_ALIGNED(32, double, coeff[MAX_VARS][MAX_VARS]); |
| 41 | double variance[MAX_VARS]; |
| 42 | int indep_count; |
| 43 | /** |
| 44 | * Take the outer-product of var[] with itself, and add to the covariance matrix. |
| 45 | * @param m this context |
| 46 | * @param var training samples, starting with the value to be predicted |
| 47 | * 32-byte aligned, and any padding elements must be initialized |
| 48 | * (i.e not denormal/nan). |
| 49 | */ |
| 50 | void (*update_lls)(struct LLSModel *m, const double *var); |
| 51 | /** |
| 52 | * Inner product of var[] and the LPC coefs. |
| 53 | * @param m this context |
| 54 | * @param var training samples, excluding the value to be predicted. unaligned. |
| 55 | * @param order lpc order |
| 56 | */ |
| 57 | double (*evaluate_lls)(struct LLSModel *m, const double *var, int order); |
| 58 | } LLSModel; |
| 59 | |
| 60 | void avpriv_init_lls(LLSModel *m, int indep_count); |
| 61 | void ff_init_lls_x86(LLSModel *m); |
| 62 | void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order); |
| 63 | |
| 64 | #endif /* AVUTIL_LLS_H */ |