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Linear least squares model. More...
#include <lls2.h>
Data Fields | |
| double | covariance [(((32+1)+(4)-1)&~((4)-1))][(((32+1)+(4)-1)&~((4)-1))] |
| double | coeff [32][32] |
| double | variance [MAX_VARS] |
| int | indep_count |
| void(* | update_lls )(struct LLSModel2 *m, double *var) |
| Take the outer-product of var[] with itself, and add to the covariance matrix. | |
| double(* | evaluate_lls )(struct LLSModel2 *m, double *var, int order) |
| Inner product of var[] and the LPC coefs. | |
| double LLSModel2::covariance[(((32+1)+(4)-1)&~((4)-1))][(((32+1)+(4)-1)&~((4)-1))] |
Definition at line 39 of file lls2.h.
Referenced by avpriv_solve_lls2(), and update_lls().
| double LLSModel2::coeff[32][32] |
Definition at line 40 of file lls2.h.
Referenced by avpriv_solve_lls2(), evaluate_lls(), and ff_lpc_calc_coefs().
| double LLSModel2::variance[MAX_VARS] |
Definition at line 41 of file lls2.h.
Referenced by avpriv_solve_lls2().
| int LLSModel2::indep_count |
Definition at line 42 of file lls2.h.
Referenced by avpriv_init_lls2(), avpriv_solve_lls2(), ff_init_lls_x86(), and update_lls().
Take the outer-product of var[] with itself, and add to the covariance matrix.
| m | this context |
| var | training samples, starting with the value to be predicted 32-byte aligned, and any padding elements must be initialized (i.e not denormal/nan). |
Definition at line 50 of file lls2.h.
Referenced by avpriv_init_lls2(), ff_init_lls_x86(), and ff_lpc_calc_coefs().
Inner product of var[] and the LPC coefs.
| m | this context |
| var | training samples, excluding the value to be predicted. unaligned. |
| order | lpc order |
Definition at line 57 of file lls2.h.
Referenced by avpriv_init_lls2(), ff_init_lls_x86(), and ff_lpc_calc_coefs().
1.8.2