tor-browser

The Tor Browser
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lls.h (2247B)


      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 {
     38    DECLARE_ALIGNED(32, double, covariance[MAX_VARS_ALIGN][MAX_VARS_ALIGN]);
     39    DECLARE_ALIGNED(32, double, coeff[MAX_VARS][MAX_VARS]);
     40    double variance[MAX_VARS];
     41    int indep_count;
     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 
     59 void avpriv_init_lls(LLSModel *m, int indep_count);
     60 void ff_init_lls_riscv(LLSModel *m);
     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 */