New type of self-adaptive blind signal separation algorithm based on feed-forward and feedback neural network

被引：0

作者：

Le, HF ^{[1
]}

Lin, JJ ^{[1
]}

Yu, JS ^{[1
]}

机构：

[1] E China Univ Sci & Technol, Automat Res Inst, Shanghai 200237, Peoples R China

来源：

PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年

关键词：

neural network; Blind signal separation; self adaptive; feed forward and feedback;

D O I：

10.1109/WCICA.2002.1021429

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Make use of the self learning ability of neural network to realize blind signal separation has been proved as a efficient method for signal separation. Different neural network model can produce distinct algorithm efficiency. Based on the feed-forward and feedback neural network model, This paper developed a self-adaptive blind source separation algorithm and apply it on the signal separation. The performance of the proposed algorithm is illustrated by theoretics analysis and computer simulation experiments.

引用

页码：1971 / 1975

页数：5

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