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
收藏
页码：1971 / 1975
页数：5
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