Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/HMM/mc_sample.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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function S = mc_sample(prior, trans, len, numex) % SAMPLE_MC Generate random sequences from a Markov chain. % STATE = SAMPLE_MC(PRIOR, TRANS, LEN) generates a sequence of length LEN. % % STATE = SAMPLE_MC(PRIOR, TRANS, LEN, N) generates N rows each of length LEN. if nargin==3 numex = 1; end S = zeros(numex,len); for i=1:numex S(i, 1) = sample_discrete(prior); for t=2:len S(i, t) = sample_discrete(trans(S(i,t-1),:)); end end