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Contourlet变换中的隐马尔科夫树模型程序 Hidden Markov Tree model of Contourlet Transform ,一个Matlab实现的隐马尔科夫树模型，用于计算图像的Contourlet系数。程序同时还包括图像去噪、纹理恢复的应用模型。这些程序都是基于"Directional Multiscale Modeling of Images Using the Contourlet Transform" by D. D.-Y. Po and M. N. Do,这个
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实现隐马尔可夫模型的viterby算法，用matlab实现的。-Hidden Markov Model to achieve viterby algorithm, achieved using matlab.
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speech recognition using hidden markov model making it speaker independent
Using Matlab 7.5[2008b]
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# Hidden Markov Tree Model of Contourlet Transform: MATLAB source code that implements hidden Markov tree models for wavelet and contourlet transforms. See paper Directional multiscale modeling of images using the contourlet transform.-#
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we will easily find out the agriculture region and man made region using hidden markov model
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a lab for hidden markov model using matlab
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了解隐马尔科夫模型HMM的概念、组成和需要解决的问题；掌握三个基本算法：forward算法、Viterbi算法和Baum-Welch算法，并利用matlab进行实验分析一道具体问题-Understand the concept of Hidden Markov Model HMM, composition and problems to be solved mastered three basic algorithms: forward algorithm, Viterbi algorithm
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matlab code for channel status prediction using hidden markov model in cognitive radio
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使用隐马尔可夫模型在小波域降噪处理运行环境Matlab-Using hidden markov model in wavelet domain noise reduction processing run Matlab environment
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使用隐马尔可夫模型在小波域降噪处理运行环境Matlab-Using hidden markov model in wavelet domain noise reduction processing run Matlab environment
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使用隐马尔可夫模型在小波域降噪处理运行环境Matlab-Using hidden markov model in wavelet domain noise reduction processing run Matlab environment
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使用隐马尔可夫模型在小波域降噪处理运行环境Matlab(Using hidden markov model in wavelet domain noise reduction processing run Matlab environment)
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The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov
model (HMM). Consider there are n states in the HMM. The particular isolated
speech sig
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