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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 "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 LLSModel2 from outside
  34.  
  35. /**
  36.  * Linear least squares model.
  37.  */
  38. typedef struct LLSModel2 {
  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 LLSModel2 *m, 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 LLSModel2 *m, double *var, int order);
  58. } LLSModel2;
  59.  
  60. void avpriv_init_lls2(LLSModel2 *m, int indep_count);
  61. void ff_init_lls_x86(LLSModel2 *m);
  62. void avpriv_solve_lls2(LLSModel2 *m, double threshold, unsigned short min_order);
  63.  
  64. #endif /* AVUTIL_LLS_H */
  65.