DocumentCode
1856568
Title
Variations around gradient like algorithms for joint diagonalization of hermitian matrices
Author
Trainini, Tual ; Moreau, Eric
Author_Institution
LSIS, Univ. du Sud Toulon-Var, La Valette-du-Var, France
fYear
2012
fDate
27-31 Aug. 2012
Firstpage
280
Lastpage
284
Abstract
In this paper, we address the problem of joint diagonalization of hermitian complex matrix sets, which arises in many signal processing problems (telecommunications, radioastronomy, biology). We present different gradient based algorithms using an optimal step size multiplicative update. Computer simulations are provided to illustrate the comparative behavior of those algorithms together with an application to source separation.
Keywords
Hermitian matrices; blind source separation; gradient methods; Hermitian complex matrix sets; comparative behaviour; computer simulations; gradient-based algorithms; joint diagonalization; optimal step size multiplicative update; signal processing problems; source separation; Approximation algorithms; Approximation methods; Convergence; Joints; Matrix decomposition; Signal processing algorithms; Signal to noise ratio; Independant Component Analysis; Joint Diagonalization; Source Separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location
Bucharest
ISSN
2219-5491
Print_ISBN
978-1-4673-1068-0
Type
conf
Filename
6334256
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