File: yulewalker.m

package info (click to toggle)
octave 3.8.2-4
  • links: PTS, VCS
  • area: main
  • in suites: jessie, jessie-kfreebsd
  • size: 84,396 kB
  • ctags: 45,547
  • sloc: cpp: 293,356; ansic: 42,041; fortran: 23,669; sh: 13,629; objc: 7,890; yacc: 7,093; lex: 3,442; java: 2,125; makefile: 1,589; perl: 1,009; awk: 974; xml: 34
file content (57 lines) | stat: -rw-r--r-- 1,505 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
## Copyright (C) 1995-2013 Friedrich Leisch
##
## This file is part of Octave.
##
## Octave is free software; you can redistribute it and/or modify it
## under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 3 of the License, or (at
## your option) any later version.
##
## Octave is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with Octave; see the file COPYING.  If not, see
## <http://www.gnu.org/licenses/>.

## -*- texinfo -*-
## @deftypefn {Function File} {[@var{a}, @var{v}] =} yulewalker (@var{c})
## Fit an AR (p)-model with Yule-Walker estimates given a vector @var{c}
## of autocovariances @code{[gamma_0, @dots{}, gamma_p]}.
##
## Returns the AR coefficients, @var{a}, and the variance of white
## noise, @var{v}.
## @end deftypefn

## Author: FL <Friedrich.Leisch@ci.tuwien.ac.at>
## Description: Fit AR model by Yule-Walker method

function [a, v] = yulewalker (c)

  if (nargin != 1)
    print_usage ();
  endif

  p = length (c) - 1;

  if (columns (c) > 1)
    c = c';
  endif

  cp = c(2 : p+1);
  CP = zeros (p, p);

  for i = 1:p
    for j = 1:p
      CP (i, j) = c (abs (i-j) + 1);
    endfor
  endfor

  a = inv (CP) * cp;
  v = c(1) - a' * cp;

endfunction