DocumentCode :
1988717
Title :
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
Link To Document :
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