GitHub - ChenJunzhi-buaa/matlab-hmm: Open source HMM toolbox, with Discrete-HMM, Gaussian-HMM, GMM-HMM. (matlab)

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Open source HMM toolbox, with Discrete-HMM, Gaussian-HMM, GMM-HMM. (matlab)

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
matlab-gmm		matlab-gmm
trajectories		trajectories
0.jpg		0.jpg
1.jpg		1.jpg
1_xiuzheng.jpg		1_xiuzheng.jpg
2.jpg		2.jpg
3.jpg		3.jpg
4.jpg		4.jpg
5.jpg		5.jpg
6.jpg		6.jpg
7.jpg		7.jpg
8.jpg		8.jpg
9.jpg		9.jpg
A tutorial of HMM 2015.12.06.pdf		A tutorial of HMM 2015.12.06.pdf
ChmmGauss.m		ChmmGauss.m
ChmmGmm.m		ChmmGmm.m
Dhmm.m		Dhmm.m
Discrete_logp_xn_given_zn.m		Discrete_logp_xn_given_zn.m
Gauss_logp_xn_given_zn.m		Gauss_logp_xn_given_zn.m
Gmm_logp_xn_given_zn.m		Gmm_logp_xn_given_zn.m
LogForwardBackward.m		LogForwardBackward.m
LogViterbiDecode.m		LogViterbiDecode.m
M_step_common.m		M_step_common.m
README.txt		README.txt
UniformLogGammaKsi.m		UniformLogGammaKsi.m
changshi.asv		changshi.asv
changshi.m		changshi.m
changshi2.asv		changshi2.asv
changshi2.m		changshi2.m
changshi3.m		changshi3.m
huatu.m		huatu.m
learning_result.mat		learning_result.mat
parameter.mat		parameter.mat
parameter_Q1_M1.mat		parameter_Q1_M1.mat
parameter_Q1_M2.mat		parameter_Q1_M2.mat
parameter_Q1_M3.mat		parameter_Q1_M3.mat
parameter_Q1_M4.mat		parameter_Q1_M4.mat
parameter_Q1_M5.mat		parameter_Q1_M5.mat
parameter_Q2_M1.mat		parameter_Q2_M1.mat
parameter_Q2_M2.mat		parameter_Q2_M2.mat
parameter_Q2_M3.mat		parameter_Q2_M3.mat
parameter_Q2_M4.mat		parameter_Q2_M4.mat
parameter_Q2_M5.mat		parameter_Q2_M5.mat
parameter_Q3_M1.mat		parameter_Q3_M1.mat
parameter_Q3_M2.mat		parameter_Q3_M2.mat
parameter_Q3_M3.mat		parameter_Q3_M3.mat
parameter_Q3_M4.mat		parameter_Q3_M4.mat
parameter_Q3_M5.mat		parameter_Q3_M5.mat
parameter_Q3_M6.mat		parameter_Q3_M6.mat
parameter_Q3_M7.mat		parameter_Q3_M7.mat
parameter_Q4_M1.mat		parameter_Q4_M1.mat
parameter_Q4_M2.mat		parameter_Q4_M2.mat
parameter_Q4_M3.mat		parameter_Q4_M3.mat
parameter_Q4_M4.mat		parameter_Q4_M4.mat
test.m		test.m
test_hmm.m		test_hmm.m
train.asv		train.asv
train.m		train.m
说明.txt		说明.txt

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THIS IS AN OPEN SOURCE HMM TOOLBOX. IT IS FREE FOR INDIVIDUALS & RESEARCH. 
IF YOU ARE USING IT FOR COMMERCIAL USE, PLEASE CONTACT THE AUTHOR. 
AUTHOR: QIUQIANG KONG
CONTACT: [email protected]
CREATE: 25-11-2015
==========================================

Usage:
2. run test_hmm.m

==========================================

1. Providing Multinominal-HMM, Gaussian-HMM, GMM-HMM. 
2. Underflow problem has been solved by applying log and normalization. 

==========================================