An on-line blind source separation algorithm for temporally correlated signals

被引:0
|
作者
He Wenxue [1 ]
Zhang Guichen [2 ]
机构
[1] Qingdao Univ, Acad Automat Engn, Qingdao, Shandong, Peoples R China
[2] Dalian Marine time Univ, Dept Engn, Dalian, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An on-line blind source separation algorithm is presented in this paper By assuming that the sources are temporally correlated signals with white noises added in their measurements, blind source separation could be finished by using only second order statistics of partial observed samples in an iterative calculation mode. 4 special cost function is used to determine the eigenvector matrix of the observed signals' covariance matrix, which doesn't need the singular value decomposition (SVD) that commonly used in many methods. Simulations have been made to validate the effectiveness of the algorithm.
引用
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页码:806 / +
页数:3
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