FFmpeg
lls.h
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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_internal.h"
28 
29 #define MAX_VARS 32
30 #define MAX_VARS_ALIGN FFALIGN(MAX_VARS+1,4)
31 
32 //FIXME avoid direct access to LLSModel from outside
33 
34 /**
35  * Linear least squares model.
36  */
37 typedef struct LLSModel {
40  double variance[MAX_VARS];
42  /**
43  * Take the outer-product of var[] with itself, and add to the covariance matrix.
44  * @param m this context
45  * @param var training samples, starting with the value to be predicted
46  * 32-byte aligned, and any padding elements must be initialized
47  * (i.e not denormal/nan).
48  */
49  void (*update_lls)(struct LLSModel *m, const double *var);
50  /**
51  * Inner product of var[] and the LPC coefs.
52  * @param m this context
53  * @param var training samples, excluding the value to be predicted. unaligned.
54  * @param order lpc order
55  */
56  double (*evaluate_lls)(struct LLSModel *m, const double *var, int order);
57 } LLSModel;
58 
60 void ff_init_lls_x86(LLSModel *m);
61 void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order);
62 
63 #endif /* AVUTIL_LLS_H */
LLSModel
Linear least squares model.
Definition: lls.h:37
mem_internal.h
MAX_VARS_ALIGN
#define MAX_VARS_ALIGN
Definition: lls.h:30
MAX_VARS
#define MAX_VARS
Definition: lls.h:29
avpriv_solve_lls
void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order)
Definition: lls.c:46
LLSModel::variance
double variance[MAX_VARS]
Definition: lls.h:40
macros.h
ff_init_lls_x86
void ff_init_lls_x86(LLSModel *m)
Definition: lls_init.c:32
avpriv_init_lls
void avpriv_init_lls(LLSModel *m, int indep_count)
Definition: lls.c:114
double
double
Definition: af_crystalizer.c:131
LLSModel::update_lls
void(* update_lls)(struct LLSModel *m, const double *var)
Take the outer-product of var[] with itself, and add to the covariance matrix.
Definition: lls.h:49
DECLARE_ALIGNED
#define DECLARE_ALIGNED(n, t, v)
Definition: mem_internal.h:111
LLSModel::evaluate_lls
double(* evaluate_lls)(struct LLSModel *m, const double *var, int order)
Inner product of var[] and the LPC coefs.
Definition: lls.h:56
LLSModel::indep_count
int indep_count
Definition: lls.h:41
LLSModel::covariance
double covariance[(((32+1)+(4) -1)&~((4) -1))][MAX_VARS_ALIGN]
Definition: lls.h:38
LLSModel::coeff
double coeff[32][MAX_VARS]
Definition: lls.h:39