Kalman filtering in pairwise Markov trees

被引:7
作者
Desbouvries, F
Lecomte, J
Pieczynski, W
机构
[1] CITI, GET INT Dept, F-91011 Evry, France
[2] CNRS, UMR 5157, F-91011 Evry, France
关键词
hidden Markov trees; pairwise Markov trees; multiresolution signal and image analysis; multiscale algorithms; Kalman filtering;
D O I
10.1016/j.sigpro.2005.07.026
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An important problem in multiresolution analysis of signals or images consists in estimating hidden random variables x = {x(s)}(s is an element of S) from observed ones y = {y(s)}(s is an element of S). This is done classically in the context of hidden Markov trees (HMT). HMT have been extended recently to the more general context of pairwise Markov trees (PMT). In this note, we propose an adaptive filtering algorithm which is an extension to PMT of the Kalman filter (KF). (C) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:1049 / 1054
页数:6
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