Cumulant-based blind separation of convolutive mixtures

被引：0

作者：

Mei, TM ^{[1
]}

Yin, FL

Xi, JT

Chicharo, JF

机构：

[1] Dalian Univ Technol, Sch Elect & Informat, Dalian 116023, Peoples R China

[2] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW, Australia

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 | 2004年 / 3173卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper focuses on the blind source separation of convolutive mixtures based on high order cumulants. It is proved that the zero-forcing of pairwise cross-cumulants of the outputs of separation system is a sufficient criterion for the separation of convolutive mixtures. New algorithm is developed based on this criterion. Simulation results are presented to support the validity of the algorithm.

引用

页码：672 / 677

页数：6

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