blob: 1a276d537de435c9283abae558743b5f4412278a
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 "macros.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 */ |
65 |