文件名称:MixtGaussian

  • 所属分类:
  • 数据结构常用算法
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 1.83mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 赵**
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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这是基于em算法混合高斯模型参数的估计方法,用matlab开发的,看一遍程序就会明白了。-mixture Gauss estimation
(系统自动生成,下载前可以参看下载内容)

下载文件列表

MixtGaussian\MixtGaussian\auto\MixtGaussian.el

............\............\contents.gif

............\............\contents.png

............\............\footnode.html

............\............\images.aux

............\............\images.log

............\............\images.out

............\............\images.pl

............\............\images.tex

............\............\img1.gif

............\............\img10.gif

............\............\img11.gif

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............\............\img2.gif

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............\............\img8.gif

............\............\img9.gif

............\............\index.html

............\............\internals.pl

............\............\labels.pl

............\............\Makefile

............\............\matlab\BackFront.mat

............\............\......\.NT\consist.m

............\............\......\...\dist2.m

............\............\......\...\em_converged.m

............\............\......\...\forwards.m

............\............\......\...\forwards_backwards_mix.m

............\............\......\...\gaussian_prob.m

............\............\......\...\gmm.m

............\............\......\...\gmminit.m

............\............\......\...\gsamp.m

............\............\......\...\kmeans.m

............\............\......\...\learn_mhmm.m

............\............\......\...\log_lik_ghmm.m

............\............\......\...\log_lik_mhmm.m

............\............\......\...\mk_dhmm_obs_lik.m

............\............\......\...\mk_ghmm_obs_lik.m

............\............\......\...\mk_mhmm_obs_lik.m

............\............\......\...\mk_stochastic.m

............\............\......\...\normalise.m

............\............\......\...\sample_dhmm.m

............\............\......\...\sample_discrete.m

............\............\......\...\sample_mc.m

............\............\......\...\sample_mhmm.m

............\............\......\...\tiv_path.m

............\............\......\...\viterbi_path.m

............\............\......\BW.m

............\............\......\BW_hmm.m

............\............\......\comp_hist_pdf.m

............\............\......\digits.mat

............\............\......\Digit_demo.m

............\............\......\Ex_BackFront.m

............\............\......\Ex_HmmGM.m

............\............\......\gausspdf.m

............\............\......\gausview.m

............\............\......\gloglike.m

............\............\......\histo.m

............\............\......\histogram2.m

............\............\......\init_mhmm.m

............\............\......\mgaussv.m

............\............\......\preproc.m

............\............\......\recognize.m

............\............\......\symbols.mat

............\............\......\train.m

............\............\......\voicebox\enframe.m

............\............\......\........\melbankm.m

............\............\......\........\melcepst.m

............\............\......\........\rdct.m

............\............\......\........\rfft.m

............\............\MixtGaussian.aux

............\............\MixtGaussian.css

............\............\MixtGaussian.dvi

............\............\MixtGaussian.html

............\............\MixtGaussian.log

............\............\MixtGaussian.out

............\............\MixtGaussian.pdf

............\............\MixtGaussian.ps.gz

............\............\MixtGaussian.tex

............\............\MixtGaussian.tex~

............\............\next.gif

............\............\next.png

............\............\node1.html

............\............\node2.html

............\............\node3.html

............\............\prev.gif

............\............\prev.png

............\............\sumgauss1.ep

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