DocumentCode
3389603
Title
Blind source separation based on fractional fourier transform
Author
Jinghui Wang ; YuanChao Zhao
Author_Institution
Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
fYear
2011
fDate
19-22 Aug. 2011
Firstpage
201
Lastpage
204
Abstract
In this paper, a novel blind separation approach using fractional Fourier trans form(FRFT) is presented. Fractional Fourier transform is particularly suitable for nonlinear signal. Blind Source Separation using FRFT is suitable for dealing with non-stationary signal. And simulation results have shown that the method is feasible.
Keywords
Fourier transforms; blind source separation; blind source separation; fractional Fourier transform; non-stationary signal; nonlinear signal; Blind source separation; Chirp; Fourier transforms; Time domain analysis; Time frequency analysis; Blind Separation Signal; fractional Fourier;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location
Jilin
Print_ISBN
978-1-61284-719-1
Type
conf
DOI
10.1109/MEC.2011.6025435
Filename
6025435
Link To Document