New method of blind source separation based on Gabor transformation

被引：0

作者：

Shen, Yong-Jun ^{[1
]}

Zhang, Guang-Ming ^{[1
]}

Yang, Shao-Pu ^{[1
]}

Zhang, Geng-Ning ^{[1
]}

Wang, Tie-Jun ^{[1
]}

机构：

[1] School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2010年 / 29卷 / 10期

关键词：

Mixing - Blind source separation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A new method of blind source separation (BSS) based on Gabor transformation was proposed. Compared with the traditional BSS methods, this new method could obtain the estimate of the mixing matrix so as to separate the mixing signals based on the characteristics of time-frequency distribution of the source signals. Even if the source signals were correlative, or there were more than one Gaussian signal in the sources, one could get better separation performance by using this new method. The simulation results showed the feasibility and validity of the method, it may provide a new research direction for blind signal separation.

引用

页码：166 / 169