DocumentCode
1943376
Title
A least-squares approach to joint-diagonalization of tensor with application to source separation
Author
Moreau, Eric ; LUIGI, CHRISTOPHE DE
Author_Institution
ISITV, Toulon Univ., La Valette Du Var, France
Volume
2
fYear
2003
fDate
1-4 July 2003
Firstpage
101
Abstract
In this paper, we consider the problem of the joint-diagonalization of square tensors through a least-squares approach. This allows us to show that recent joint-diagonalization criteria used in source separation can be seen based on a least-squares criterion, thus showing their optimality. A gradient algorithm is also proposed and a computer simulation illustrate the algorithm.
Keywords
gradient methods; least squares approximations; source separation; tensors; gradient algorithm; joint-diagonalization criteria; least-squares approach; source separation; square tensors; Computer simulation; Cost function; Independent component analysis; Matrix decomposition; Reactive power; Signal processing algorithms; Source separation; Statistics; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN
0-7803-7946-2
Type
conf
DOI
10.1109/ISSPA.2003.1224825
Filename
1224825
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