Performance comparison of blind source separation algorithms using spatial time-frequency distributions

Author

Euler, Christian ; Cirillo, Luke A. ; Zoubir, Abdelhak M.

Author_Institution

Signal Process. Group, Darmstadt Univ. of Technol., Darmstadt

fYear

2007

fDate

12-15 Feb. 2007

Firstpage

1

Lastpage

4

Abstract

Three blind source separation techniques using time-frequency distributions are examined in terms of achievable performance and computational complexity. The schemes considered involve joint diagonalization and off-diagonalization of a set of spatial time-frequency distribution matrices. These matrices must be constructed at particular time-frequency points for separation to be successful. Robustness to correct choice of the time-frequency points is also examined in this work.

Keywords

blind source separation; computational complexity; matrix algebra; time-frequency analysis; blind source separation algorithms; computational complexity; distribution matrices; joint diagonalization; off-diagonalization; spatial time-frequency distributions; Blind source separation; Computational complexity; Decision support systems; Jacobian matrices; Performance analysis; Robustness; Sensor arrays; Signal processing algorithms; Source separation; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on

Conference_Location

Sharjah

Print_ISBN

978-1-4244-0778-1

Electronic_ISBN

978-1-4244-1779-8

Type

conf

DOI

10.1109/ISSPA.2007.4555502

Filename

4555502