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| Rev | Author | Line No. | Line |
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| 4349 | Serge | 1 | /* |
| 2 | * linear least squares model |
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| 3 | * |
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| 4 | * Copyright (c) 2006 Michael Niedermayer |
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| 5 | * |
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| 6 | * This file is part of FFmpeg. |
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| 7 | * |
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| 8 | * FFmpeg is free software; you can redistribute it and/or |
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| 9 | * modify it under the terms of the GNU Lesser General Public |
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| 10 | * License as published by the Free Software Foundation; either |
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| 11 | * version 2.1 of the License, or (at your option) any later version. |
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| 12 | * |
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| 13 | * FFmpeg is distributed in the hope that it will be useful, |
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| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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| 16 | * Lesser General Public License for more details. |
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| 17 | * |
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| 18 | * You should have received a copy of the GNU Lesser General Public |
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| 19 | * License along with FFmpeg; if not, write to the Free Software |
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| 20 | * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA |
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| 21 | */ |
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| 22 | |||
| 23 | #ifndef AVUTIL_LLS_H |
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| 24 | #define AVUTIL_LLS_H |
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| 25 | |||
| 26 | #include "common.h" |
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| 27 | #include "mem.h" |
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| 28 | #include "version.h" |
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| 29 | |||
| 30 | #define MAX_VARS 32 |
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| 31 | #define MAX_VARS_ALIGN FFALIGN(MAX_VARS+1,4) |
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| 32 | |||
| 33 | //FIXME avoid direct access to LLSModel2 from outside |
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| 34 | |||
| 35 | /** |
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| 36 | * Linear least squares model. |
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| 37 | */ |
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| 38 | typedef struct LLSModel2 { |
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| 39 | DECLARE_ALIGNED(32, double, covariance[MAX_VARS_ALIGN][MAX_VARS_ALIGN]); |
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| 40 | DECLARE_ALIGNED(32, double, coeff[MAX_VARS][MAX_VARS]); |
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| 41 | double variance[MAX_VARS]; |
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| 42 | int indep_count; |
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| 43 | /** |
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| 44 | * Take the outer-product of var[] with itself, and add to the covariance matrix. |
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| 45 | * @param m this context |
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| 46 | * @param var training samples, starting with the value to be predicted |
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| 47 | * 32-byte aligned, and any padding elements must be initialized |
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| 48 | * (i.e not denormal/nan). |
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| 49 | */ |
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| 50 | void (*update_lls)(struct LLSModel2 *m, double *var); |
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| 51 | /** |
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| 52 | * Inner product of var[] and the LPC coefs. |
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| 53 | * @param m this context |
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| 54 | * @param var training samples, excluding the value to be predicted. unaligned. |
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| 55 | * @param order lpc order |
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| 56 | */ |
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| 57 | double (*evaluate_lls)(struct LLSModel2 *m, double *var, int order); |
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| 58 | } LLSModel2; |
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| 59 | |||
| 60 | void avpriv_init_lls2(LLSModel2 *m, int indep_count); |
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| 61 | void ff_init_lls_x86(LLSModel2 *m); |
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| 62 | void avpriv_solve_lls2(LLSModel2 *m, double threshold, unsigned short min_order); |
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| 63 | |||
| 64 | #endif /* AVUTIL_LLS_H */ |