A method of underdetermined blind source separation in time-domain

被引：9

作者：

Wang Rongjie ^{[2
,3
]}

Zhan Yiju ^{[1
]}

Zhou Haifeng ^{[3
]}

机构：

[1] Sun Yat Sen Univ, Sch Engn, Guangzhou 510006, Guangdong, Peoples R China

[2] Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China

[3] Jimei Univ, Marine Engn Inst, Xiamen 361021, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ELECTRONICS | 2012年 / 99卷 / 04期

关键词：

underdetermined blind source separation; differential kurtosis; second-order statistics; super-Gaussian distribution; sub-Gaussian distribution; SOURCE EXTRACTION; ALGORITHMS; MIXTURES; NOISY;

D O I：

10.1080/00207217.2011.629228

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this article, we consider the problem of sources separation from their underdetermined instantaneous mixtures via time-domain. First, we introduced an algorithm based on differential kurtosis to separate non-stationary sources one by one under underdetermined case. Then, the rest sources are recovered using an algorithm based on second-order statistics. The simulation results show that the proposed method can separate sources of super- and sub-Gaussian distributions, and it has superior performance compared to other conventional methods.

引用

页码：543 / 555

页数：13

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