%0 Journal Article
%T A Parameter Initialization Method for Wavelet-Based HMT Models<br>一种小波域HMT模型参数初始化方法
%A WANG Xi-Li LIU Fang JIAO Li-Cheng
%A <br>汪西莉
%A 刘芳
%J 计算机科学
%D 2003
%I 
%X Wavelet transformation and hidden Markov model are used in wavelet-based HMT model for analyzing and processing images. Expected Maximization (EM) algorithm used in training model results in slow convergence. The persistence, exponential decay characteristics of wavelet coefficient are analyzed. A model parameter initialization method is proposed. This method provides reasonable initial model value, reduces training time greatly. Its application in image de-noising demonstrates is validity.
%K Wavelet
%K Hidden Markov tree model
%K Parameter initialization
%K EM algorithm<br>小波域
%K HMT模型
%K 参数初始化
%K 图像去噪
%K 图像处理
%K 小波理论
%K 信号分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=E38C69F63F7619D3&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=CD775AE9DDBD7B53&eid=7AA74D31F1FF2DCE&journal_id=1002-137X&journal_name=计算机科学&referenced_num=3&reference_num=4