DocumentCode
2953718
Title
Contrast functions for blind source separation based on time frequency distributions
Author
Belouchrani, Adel ; Abed-Meraim, Karim
Author_Institution
Dept. of Electr. Eng., Ecole Nat. Polytech, Algiers, Algeria
fYear
2004
fDate
2004
Firstpage
49
Lastpage
52
Abstract
This paper introduces new source separation techniques exploiting the time frequency signatures of the source signals. The proposed approach relies on time frequency distributions (TFD). Two TFD-based contrast functions are presented for non stationary sources. Iterative algorithms using the relative gradient technique are used to optimize the proposed contrast functions and perform the source separation.
Keywords
blind source separation; gradient methods; multiuser detection; optimisation; blind source separation; contrast functions; iterative algorithms; multiuser detection; optimization; relative gradient technique; time frequency distributions; time frequency signature; wireless communication; Additive noise; Blind source separation; Cost function; Ear; Iterative algorithms; Multiuser detection; Signal processing; Source separation; Time frequency analysis; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Communications and Signal Processing, 2004. First International Symposium on
Print_ISBN
0-7803-8379-6
Type
conf
DOI
10.1109/ISCCSP.2004.1296216
Filename
1296216
Link To Document