DocumentCode
1932303
Title
A Blind Source Separation Method Based on the Time Delayed Correlations and the Wavelet Transform
Author
Zhijin Zhao ; Tingting Xie ; Zhidong Zhao ; Xianzheng Kong
Author_Institution
Telecommun. Sch., Hangzhou Dianzi Univ.
Volume
1
fYear
2006
fDate
16-20 2006
Abstract
A blind source separation method based on generalized eigendecomposition of time delayed correlation matrices in the wavelet domain is proposed. The wavelet domain algorithm can separate the mixtures when the number of the sources is more than three, while the time domain algorithm can´t. The proposed method is a fast, stable and easy to implement algorithm. The computer simulations results demonstrate the correctness and effectiveness of the proposed algorithm
Keywords
blind source separation; correlation methods; eigenvalues and eigenfunctions; wavelet transforms; blind source separation method; generalized eigendecomposition; time delayed correlation matrices; wavelet domain algorithm; wavelet transform; Biosensors; Blind source separation; Delay effects; Eigenvalues and eigenfunctions; Matrices; Propagation delay; Sensor phenomena and characterization; Source separation; Wavelet domain; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345531
Filename
4128946
Link To Document