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文件名称:Baum_Welch-algorithm
介绍说明--下载内容来自于网络,使用问题请自行百度
用Baum-Welch算法来迭代估计一个隐马尔科夫模型(HMM)的初始状态概率分布以及其状态转移概率矩阵。其中文件有mainfile_B_W.m为主函数,Baum_Welch.m为Baum-Welch算法迭代函数,Forward_variable.m与Backward_variable.m与Gamma_variable.m与Ksi_variable.m是需要计算的四种因子,B_pdf.m为混淆散射概率密度函数。-It s Baum-Welch algorithm for iteratively estimating the initial states probability distribution and state transition probability matrix. In the folder, "mainfile_B_W.m" is the main function, and "Baum_Welch.m" is the iteration Baum-Welch function. Also these four file "Forward_variable.m " "Backward_variable.m" "Gamma_variable.m" "Ksi_variable.m" are used for calculating crucial factors. "B_pdf.m" is the emission probability distrubution function.
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下载文件列表
Baum_Welch algorithm/Backward_variable.m
Baum_Welch algorithm/Baum_Welch.m
Baum_Welch algorithm/B_pdf.m
Baum_Welch algorithm/Forward_variable.m
Baum_Welch algorithm/Gamma_variable.m
Baum_Welch algorithm/Ksi_variable.m
Baum_Welch algorithm/mainfile_B_W.m
Baum_Welch algorithm
Baum_Welch algorithm/Baum_Welch.m
Baum_Welch algorithm/B_pdf.m
Baum_Welch algorithm/Forward_variable.m
Baum_Welch algorithm/Gamma_variable.m
Baum_Welch algorithm/Ksi_variable.m
Baum_Welch algorithm/mainfile_B_W.m
Baum_Welch algorithm
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