DocumentCode
2364220
Title
Channel equalization by finite mixtures and the EM algorithm
Author
Xu, Lei
Author_Institution
Dept. of Comput. Sci., Chinese Univ. of Hong Kong, Shatin, Hong Kong
fYear
1995
fDate
31 Aug-2 Sep 1995
Firstpage
603
Lastpage
612
Abstract
The model of finite mixtures and the EM learning algorithm have been applied to the task of channel equalization in communication problems for the channels that may vary its properties between a number of different modes. Computer experiments have also been given to show that the proposed approach work well with a promising potential for applications
Keywords
equalisers; telecommunication channels; unsupervised learning; EM algorithm; EM learning algorithm; channel equalization; communication problems; computer experiments; finite mixtures; parametric model; unsupervised learning models; Adaptive equalizers; Application software; Communication channels; Computer science; Least squares approximation; Parametric statistics; Switches; Transfer functions; Transversal filters; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing [1995] V. Proceedings of the 1995 IEEE Workshop
Conference_Location
Cambridge, MA
Print_ISBN
0-7803-2739-X
Type
conf
DOI
10.1109/NNSP.1995.514935
Filename
514935
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