A deflationary super-exponential method for solving independent component analysis with additive Gaussian noise

被引：0
|
作者：
Kawamoto, M
Ito, M
Ohata, M
Inouye, Y
机构：
[1] Shimane Univ, Dept Elect & Control Syst Engn, Matsue, Shimane 6908504, Japan
[2] Nagoya Univ, Nagoya, Aichi, Japan
来源：
BRAIN-INSPIRED IT I | 2004年 / 1269卷
关键词：
independent component analysis (ICA); super-exponential method; deflationary approach; Gaussian noise;
D O I：
10.1016/j.ics.2004.05.162
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a new method for solving independent component analysis (ICA) with additive Gaussian noise. One of the properties of our proposed method is to use only higher-order cumulants of observations. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：157 / 160
页数：4
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