Approximate maximum likelihood source separation using the natural gradient

被引：0
|
作者：
Choi, S [1 ]
Cichocki, A
Zhang, LQ
Amari, S
机构：
[1] POSTECH, Dept Comp Sci & Engn, Pohang, South Korea
[2] RIKEN, BSI, Brain Style Informat Syst Res Grp, Wako, Saitama 3510198, Japan
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2003年 / E86A卷 / 01期
关键词：
independent component analysis; maximum likelihood estimation; natural gradient; source separation; overdetermined mixtures;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses a maximum likelihood method for source separation in the case of overdetermined mixtures corrupted by additive white Gaussian noise. We consider an approximate likelihood which is based on the Laplace approximation and develop a natural gradient adaptation algorithm to find a local maximum of the corresponding approximate likelihood. We present a detailed mathematical derivation of the algorithm using the Lie group invariance. Useful behavior of the algorithm is verified by numerical experiments.
引用
收藏
页码：198 / 205
页数：8
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