期刊文献+

二维隐马氏模型的一种简化算法及其参数估计

An Abridged Algorithm and Parameter Estimation of Two Dimension Hidden Markov Chain Model
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摘要 针对现有的二维隐马氏模型算法给出了一种简化算法及参数估计方法。该算法与现有的算法相比非常简单。基于此方法给出了相应的识别方法和参数估计,并且该估计与极大似然估计是等同的。 An abridged algorithm of 2D hidden Markov chain model and its parameter estimation method are made. This method is simplier compared with preceding ones. Based on this method the corresponding recognition method and parameter estimation are presented. And estimating parameters in this manner is equivalent to the maximizing of the likelihood.
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2002年第6期102-106,共5页 Journal of National University of Defense Technology
关键词 二维隐马氏模型 VITERBI算法 EM算法 参数估计 充分统计量 高斯混合 文字识别 hidden Markov chain model Viterbi algorithm EM algorithm parameter estimation sufficient statistics Gaussian mixtures
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参考文献8

  • 1邓明华. 数学模型补充讲义(未定稿)[M]. 1999,10.
  • 2Baggenstoss Paul M.A Modified Baum-Welch Algorithm for Hidden Markov Models with Multiple Observation Spaces[J].IEEE Transactions on Speech and Audio Processing, 2001,9(4).
  • 3Rabiner L R.A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition [J].Proc.IEEE,1989,77:257-286.
  • 4Lehmann E H.Testing Statistical Hypotheses [M].New York: Wiley, 1959.
  • 5Kendall M,Stuart A.The Advanced Theory of Statistics [M].London:Charles Griffin, 1979.
  • 6Royden H L. Real Analysis,3rd ed [M]. Englewood Cleffs, NJ: Prentice-Hall, 1988.
  • 7Baum L E. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains [J].Ann. Math. Statist.1970,41:162-171.
  • 8Juang B H. Maximum Likelihood Estimation for Mixture Multivariate Stochastic Observations of Markov Chains [J].AT&T Tech. J.1985,64(6):1235-1249.

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