sample_dhmm.m
来自「包含隐markov模型的一些关键算法 很有价值」· M 代码 · 共 18 行
M
18 行
function [obs, hidden] = sample_dhmm(initial_prob, transmat, obsmat, numex, len)% SAMPLE_DHMM Generate random sequences from a Hidden Markov Model with discrete outputs.% [obs, hidden] = sample_dhmm(initial_prob, transmat, obsmat, numex, len)%% Each row of obs is an observation sequence of length len.hidden = sample_mc(initial_prob, transmat, len, numex);obs = zeros(numex, len);for i=1:numex h = hidden(i,1); obs(i,1) = sample_discrete(obsmat(h,:), 1, 1); for t=2:len h = hidden(i,t); obs(i,t) = sample_discrete(obsmat(h,:), 1, 1); endend
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