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
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;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025435
