Blind source separation based on immune algorithm with four-order mutual cumulates

被引：0
|
作者：
Zhang, HY [1 ]
Wang, K [1 ]
Pan, YX [1 ]
Zhang, W [1 ]
机构：
[1] Xian Univ Technol, Dept Automat & Informat, Xian 710048, Peoples R China
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY PROCEEDINGS | 2005年
关键词：
blind source separation; Eigenvalue decomposition; four-order mutual cumulates; immune algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A blind source separation method based on immune algorithm (IA) is proposed. The first step performs initialization of mixed signals, which estimates the dimension of signals and abstracts principal component information by eigenvalue decomposition. The second step performs separation of sources, where a separate matrix is estimated. The separate matrix is updated by IA and high order statistics (high order cumulates), where contrast function is based on the transformation of four-order mutual cumulates. The effectiveness of proposed method for blind source separation is demonstrated by simulation.
引用
收藏
页码：108 / 112
页数：5
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