learn_AR_diagonal.m
上传用户:mozhenmi
上传日期:2008-02-18
资源大小:13k
文件大小:1k
- function [coef, C] = learn_AR_diagonal(y, k)
- % Find the ML parameters for a collection of independent scalar AR processes.
- % sep_coef(1,1,t,i) is the coefficient to apply to compopnent i of the state vector t steps ago
- % eg. consider two components L and R and let A = coef(:,:,1,:), B = coef(:,:,2,:)
- % L3 (AL 0 BL 0) (L2) (CL 0 0 0)
- % R3 = (0 AR 0 BR) (R2) (0 CR 0 0)
- % L2 (1 0 0 0 ) (L1) + (0 0 0 0)
- % R2 (0 1 0 0 ) (R1) (0 0 0 0)
- ss = size(y, 1);
- sep_coef = zeros(1,1,k,ss);
- for i=1:ss
- [sep_coef(:,:,:,i), sep_cov(i)] = learn_AR(k, y(i,:));
- end
- C = diag(sep_cov);
- for t=1:k
- x = sep_coef(1,1,t,:);
- coef(:,:,t) = diag(x(:));
- end