文件名称:HiddenMarkovModel
介绍说明－－下载内容均来自于网络，请自行研究使用
这是用matlab开发hmm模型，里面包含全部的有关hmm的程序，都可以使用，对于hmm的初学者来说，是极好的的学习程序。-HMM
(系统自动生成,下载前可以参看下载内容)
下载文件列表
HiddenMarkovModel\HMM\#dhmm_em.m#
.................\...\#fwdback.m#
.................\...\#README.txt#
.................\...\#testHMM.m#
.................\...\#viterbi_path.m#
.................\...\dhmm_em.m
.................\...\dhmm_em.m~
.................\...\dhmm_em_demo.m
.................\...\dhmm_em_online.m
.................\...\dhmm_em_online_demo.m
.................\...\dhmm_logprob.m
.................\...\dhmm_logprob_brute_force.m
.................\...\dhmm_logprob_path.m
.................\...\dhmm_sample.m
.................\...\dhmm_sample_endstate.m
.................\...\fixed_lag_smoother.m
.................\...\fixed_lag_smoother_demo.m
.................\...\fixed_lag_smoother_demo.m~
.................\...\fwdback.m
.................\...\fwdback.m~
.................\...\gausshmm_train_observed.m
.................\...\herbert.txt~
.................\...\mc_sample.m
.................\...\mc_sample_endstate.m
.................\...\mdp_sample.m
.................\...\mhmmParzen_train_observed.m
.................\...\mhmm_em.m
.................\...\mhmm_em_demo.m
.................\...\mhmm_logprob.m
.................\...\mhmm_sample.m
.................\...\mk_leftright_transmat.m
.................\...\mk_rightleft_transmat.m
.................\...\pomdp_sample.m
.................\...\README.txt
.................\...\README.txt~
.................\...\testHMM.m
.................\...\testHMM.m~
.................\...\transmat_train_observed.m
.................\...\viterbi_path.m
.................\...\viterbi_path.m~
.................\KPMstats\#histCmpChi2.m#
.................\........\beta_sample.m
.................\........\chisquared_histo.m
.................\........\chisquared_prob.m
.................\........\chisquared_readme.txt
.................\........\chisquared_table.m
.................\........\clg_Mstep.m
.................\........\clg_Mstep_simple.m
.................\........\clg_prob.m
.................\........\condGaussToJoint.m
.................\........\condgaussTrainObserved.m
.................\........\condgauss_sample.m
.................\........\cond_indep_fisher_z.m
.................\........\convertBinaryLabels.m
.................\........\cwr_demo.m
.................\........\cwr_em.m
.................\........\cwr_predict.m
.................\........\cwr_prob.m
.................\........\cwr_readme.txt
.................\........\cwr_test.m
.................\........\dirichletpdf.m
.................\........\dirichletrnd.m
.................\........\dirichlet_sample.m
.................\........\distchck.m
.................\........\eigdec.m
.................\........\est_transmat.m
.................\........\fit_paritioned_model_testfn.m
.................\........\fit_partitioned_model.m
.................\........\gamma_sample.m
.................\........\gaussian_prob.m
.................\........\gaussian_sample.m
.................\........\histCmpChi2.m
.................\........\histCmpChi2.m~
.................\........\KLgauss.m
.................\........\linear_regression.m
.................\........\logist2.m
.................\........\logist2Apply.m
.................\........\logist2ApplyRegularized.m
.................\........\logist2Fit.m
.................\........\logist2FitRegularized.m
.................\........\logistK.m
.................\........\logistK_eval.m
.................\........\marginalize_gaussian.m
.................\........\matrix_normal_pdf.m
.................\........\matrix_T_pdf.m
.................\........\mc_stat_distrib.m
.................\........\mixgauss_classifier_apply.m
.................\........\mixgauss_classifier_train.m
.................\........\mixgauss_em.m
.................\........\mixgauss_init.m
.................\........\mixgauss_Mstep.m
.................\........\mixgauss_prob.m
.................\........\mixgauss_prob_test.m
.................\........\mixgauss_sample.m
.................\........\mkPolyFvec.m
.................\........\mk_unit_norm.m
.................\........\multinomial_prob.m
.................\........\multinomial_samp
.................\...\#fwdback.m#
.................\...\#README.txt#
.................\...\#testHMM.m#
.................\...\#viterbi_path.m#
.................\...\dhmm_em.m
.................\...\dhmm_em.m~
.................\...\dhmm_em_demo.m
.................\...\dhmm_em_online.m
.................\...\dhmm_em_online_demo.m
.................\...\dhmm_logprob.m
.................\...\dhmm_logprob_brute_force.m
.................\...\dhmm_logprob_path.m
.................\...\dhmm_sample.m
.................\...\dhmm_sample_endstate.m
.................\...\fixed_lag_smoother.m
.................\...\fixed_lag_smoother_demo.m
.................\...\fixed_lag_smoother_demo.m~
.................\...\fwdback.m
.................\...\fwdback.m~
.................\...\gausshmm_train_observed.m
.................\...\herbert.txt~
.................\...\mc_sample.m
.................\...\mc_sample_endstate.m
.................\...\mdp_sample.m
.................\...\mhmmParzen_train_observed.m
.................\...\mhmm_em.m
.................\...\mhmm_em_demo.m
.................\...\mhmm_logprob.m
.................\...\mhmm_sample.m
.................\...\mk_leftright_transmat.m
.................\...\mk_rightleft_transmat.m
.................\...\pomdp_sample.m
.................\...\README.txt
.................\...\README.txt~
.................\...\testHMM.m
.................\...\testHMM.m~
.................\...\transmat_train_observed.m
.................\...\viterbi_path.m
.................\...\viterbi_path.m~
.................\KPMstats\#histCmpChi2.m#
.................\........\beta_sample.m
.................\........\chisquared_histo.m
.................\........\chisquared_prob.m
.................\........\chisquared_readme.txt
.................\........\chisquared_table.m
.................\........\clg_Mstep.m
.................\........\clg_Mstep_simple.m
.................\........\clg_prob.m
.................\........\condGaussToJoint.m
.................\........\condgaussTrainObserved.m
.................\........\condgauss_sample.m
.................\........\cond_indep_fisher_z.m
.................\........\convertBinaryLabels.m
.................\........\cwr_demo.m
.................\........\cwr_em.m
.................\........\cwr_predict.m
.................\........\cwr_prob.m
.................\........\cwr_readme.txt
.................\........\cwr_test.m
.................\........\dirichletpdf.m
.................\........\dirichletrnd.m
.................\........\dirichlet_sample.m
.................\........\distchck.m
.................\........\eigdec.m
.................\........\est_transmat.m
.................\........\fit_paritioned_model_testfn.m
.................\........\fit_partitioned_model.m
.................\........\gamma_sample.m
.................\........\gaussian_prob.m
.................\........\gaussian_sample.m
.................\........\histCmpChi2.m
.................\........\histCmpChi2.m~
.................\........\KLgauss.m
.................\........\linear_regression.m
.................\........\logist2.m
.................\........\logist2Apply.m
.................\........\logist2ApplyRegularized.m
.................\........\logist2Fit.m
.................\........\logist2FitRegularized.m
.................\........\logistK.m
.................\........\logistK_eval.m
.................\........\marginalize_gaussian.m
.................\........\matrix_normal_pdf.m
.................\........\matrix_T_pdf.m
.................\........\mc_stat_distrib.m
.................\........\mixgauss_classifier_apply.m
.................\........\mixgauss_classifier_train.m
.................\........\mixgauss_em.m
.................\........\mixgauss_init.m
.................\........\mixgauss_Mstep.m
.................\........\mixgauss_prob.m
.................\........\mixgauss_prob_test.m
.................\........\mixgauss_sample.m
.................\........\mkPolyFvec.m
.................\........\mk_unit_norm.m
.................\........\multinomial_prob.m
.................\........\multinomial_samp