文件列表:

HMM\CVS\Entries (1509, 2018-10-14)
HMM\CVS\Repository (12, 2018-10-14)
HMM\CVS\Root (51, 2018-10-14)
HMM\CVS (0, 2018-12-22)
HMM\dhmm_em.m (4081, 2018-10-14)
HMM\dhmm_em_demo.m (687, 2018-10-14)
HMM\dhmm_em_online.m (2376, 2018-10-14)
HMM\dhmm_em_online_demo.m (2249, 2018-10-14)
HMM\dhmm_logprob.m (640, 2018-10-14)
HMM\dhmm_logprob_brute_force.m (552, 2018-10-14)
HMM\dhmm_logprob_path.m (448, 2018-10-14)
HMM\dhmm_sample.m (408, 2018-10-14)
HMM\dhmm_sample_endstate.m (622, 2018-10-14)
HMM\fixed_lag_smoother.m (2096, 2018-10-14)
HMM\fixed_lag_smoother_demo.m (987, 2018-10-14)
HMM\fwdback.m (6431, 2018-10-14)
HMM\gausshmm_train_observed.m (1561, 2018-10-14)
HMM\mc_sample.m (442, 2018-10-14)
HMM\mc_sample_endstate.m (711, 2018-10-14)
HMM\mdp_sample.m (490, 2018-10-14)
HMM\mhmmParzen_train_observed.m (1203, 2018-10-14)
HMM\mhmm_em.m (5562, 2018-10-14)
HMM\mhmm_em_demo.m (1013, 2018-10-14)
HMM\mhmm_logprob.m (960, 2018-10-14)
HMM\mhmm_sample.m (1071, 2018-10-14)
HMM\mk_leftright_transmat.m (248, 2018-10-14)
HMM\mk_rightleft_transmat.m (249, 2018-10-14)
HMM\pomdp_sample.m (612, 2018-10-14)
HMM\testHMM.m (138, 2018-10-14)
HMM\transmat_train_observed.m (1245, 2018-10-14)
HMM\viterbi_path.m (1541, 2018-10-14)
HMM (0, 2018-12-22)

Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (19***). See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details. Models ------ dhmm = HMM with discrete output mhmm = HMM with mixture of Gaussians output; Use mhmm with M=1 components to simulate an HMM with a single Gaussian output. Demos ----- mhmm_em_demo dhmm_em_demo dhmm_em_online_demo fixed_lag_smoother_demo References ----------- See "A tutorial on Hidden Markov Models and selected applications in speech recognition", L. Rabiner, 1***9, Proc. IEEE 77(2):257--286.

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