Mercurial > hg > camir-aes2014
comparison 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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-1:000000000000 | 0:e9a9cd732c1e |
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1 function S = mc_sample(prior, trans, len, numex) | |
2 % SAMPLE_MC Generate random sequences from a Markov chain. | |
3 % STATE = SAMPLE_MC(PRIOR, TRANS, LEN) generates a sequence of length LEN. | |
4 % | |
5 % STATE = SAMPLE_MC(PRIOR, TRANS, LEN, N) generates N rows each of length LEN. | |
6 | |
7 if nargin==3 | |
8 numex = 1; | |
9 end | |
10 | |
11 S = zeros(numex,len); | |
12 for i=1:numex | |
13 S(i, 1) = sample_discrete(prior); | |
14 for t=2:len | |
15 S(i, t) = sample_discrete(trans(S(i,t-1),:)); | |
16 end | |
17 end |