Hidden_Markov_Models_1_1
所属分类：图形图象
开发工具：matlab
文件大小：421KB
下载次数：11
上传日期：2008-06-07 17:27:16
上 传 者：
xf9258
说明： 隐马模型工具箱，非常简单的实现，里面有例子，简单明了，想了解隐马模型的根据里面的例子走一遍就可以
(Implicit Ma model kit, very simple to achieve, there are examples of simple and clear, would like to know the hidden Ma model is based on examples of which can go again)
文件列表:
Hidden Markov Models_1_1\14ar.mat (435752, 2001-02-16)
Hidden Markov Models_1_1\Contents.m (1160, 2001-07-19)
Hidden Markov Models_1_1\DATA-STRUCTURE (1864, 2002-03-18)
Hidden Markov Models_1_1\demgauss.mat (10864, 2001-02-15)
Hidden Markov Models_1_1\demgausshmm.m (1770, 2002-03-15)
Hidden Markov Models_1_1\demgausshmm_back.m (1687, 2002-03-15)
Hidden Markov Models_1_1\demgausshmm_traj.m (1381, 2002-03-18)
Hidden Markov Models_1_1\demgauss_traj.mat (44320, 2001-02-16)
Hidden Markov Models_1_1\demlike.m (1180, 2001-07-19)
Hidden Markov Models_1_1\demlike.mat (12984, 2001-02-06)
Hidden Markov Models_1_1\dempoisson.mat (900408, 2002-03-18)
Hidden Markov Models_1_1\dempoissonhmm.m (2513, 2002-03-18)
Hidden Markov Models_1_1\dirichlet.m (1322, 2001-02-15)
Hidden Markov Models_1_1\evalmodelprior.m (1219, 2002-03-15)
Hidden Markov Models_1_1\fhmmsim.m (2826, 2001-02-14)
Hidden Markov Models_1_1\gammapdf.m (927, 2001-06-15)
Hidden Markov Models_1_1\gaussmd.m (969, 2001-06-01)
Hidden Markov Models_1_1\hmmdecode.m (2911, 2001-07-20)
Hidden Markov Models_1_1\hmmhsinit.m (1138, 2002-03-14)
Hidden Markov Models_1_1\hmminit.m (2847, 2002-03-14)
Hidden Markov Models_1_1\hmmsim.m (2916, 2001-02-14)
Hidden Markov Models_1_1\hmmtrain.m (4260, 2002-03-15)
Hidden Markov Models_1_1\INSTALLATION (95, 2001-07-19)
Hidden Markov Models_1_1\movmed.m (933, 1999-06-26)
Hidden Markov Models_1_1\normalise.m (865, 2002-03-18)
Hidden Markov Models_1_1\obsinit.m (4820, 2002-03-18)
Hidden Markov Models_1_1\obslike.m (1284, 2002-03-15)
Hidden Markov Models_1_1\obsupdate.m (2123, 2002-03-15)
Hidden Markov Models_1_1\poissonpdf.m (838, 2001-06-15)
Hidden Markov Models_1_1\rdiv.m (273, 2001-02-06)
Hidden Markov Models_1_1\rprod.m (184, 2001-02-06)
Hidden Markov Models_1_1\rsum.m (117, 2001-02-06)
Hidden Markov Models_1_1\sampgauss.m (583, 2001-08-29)
Hidden Markov Models_1_1\sleepdemo.m (2666, 2001-07-19)
Hidden Markov Models_1_1\VERSION (268, 2002-03-18)
Hidden Markov Models_1_1\wgmmem.m (3379, 2001-02-06)
Hidden Markov Models_1_1\wishart.m (1602, 2001-06-01)
Hidden Markov Models_1_1 (0, 2005-04-22)
VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002
Matlab toolbox for Hidden Markov Models
(Adapted from Machine Learning Toolbox
Version 1.0 01-Apr-96
Copyright (c) by Zoubin Ghahramani, University of Toronto)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html)
so you'll need to have NETLAB on your search path
See the file VERSION for what's new in this version.
The following observation models have so far been implemented:
Gaussian, Gaussian with common covariances, Likelihood, AR.
DEMONSTRATIONS:
demgausshmm.m uses Gaussian observation model
demgausshmm_traj.m uses Gaussian observation model on a trajectory
demgausshmm_back.m Gaussian observation model using backwards
compatibility functions
dempoissonhmm.m uses Poisson observation model on RR intervals
demlike.m the time series values are themselves likelihoods
sleepdemo Gaussian observation model on Sleep EEG Features
ROUTINES:
Read the file Contents.m
To extend the HMM to different observation models add the required
code into obsinit, obslike and obsupdate.
DATA:
Read the file DATA-STRUCTURE.
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