摘要
结合非线性盲源分离研究不断发展的现状,选取最常见的后非线性混叠信号盲源分离问题为对象,综述其算法,介绍了解混叠模型,说明了基于广义Gram-Schmit正交化构造解的存在性及非唯一性.在此基础上,阐释了分离方法和思路,概述了基于互信息最小化的独立性测度,并分析评述了不断涌现的后非线性盲源分离典型算法.最后指出,目前关于后非线性盲源分离算法的研究存在的共性问题,并对进一步的研究方向进行了展望.
According to the development of nonlinear blind source separation research,the post-nonlinear mixture is taken as an indraft point to summarize its algorithms.The model of post-nonlinear mixtrue and its separability are presented,meanwhile the existence and nonuniqueness of post-nonlinear blind source separation are discussed.Then the methods are summarized,and the independence criterion based on the minimization of mutual information is introduced,also the representative algorithms proposed continuously in recent years are analyzed and commented.Finally,the existing problems and development tendency on the research of post-nonlinear blind source separation are generalized and expected.
出处
《控制与决策》
EI
CSCD
北大核心
2010年第8期1121-1128,共8页
Control and Decision
基金
国家自然科学基金项目(50677070
50721063)
中国博士后科学基金项目(20080431379)
国家863计划项目(2009AAJ116)
关键词
后非线性混叠
盲源分离
最小化互信息
典型算法
Post-nonlinear mixtures
Blind source separation
Minimization of mutual information
Representative algorithms
