DocumentCode
1818163
Title
The generalized eigen-decomposition approach to blind source problems
Author
Tomé, Ana Maria
Author_Institution
Dept. de Electron. e Telecomunicacoes, Aveiro Univ., Portugal
Volume
1
fYear
1999
fDate
1999
Firstpage
473
Abstract
The blind source separation problem was recently addressed as a generalized eigenvalue decompisition (GSVD) problem. This work is concerned with the formalization of the method using linear algebra statements. This mathematical framework also reveals a new method to compute the two correlation matrices used in the approach
Keywords
correlation methods; eigenvalues and eigenfunctions; matrix algebra; signal detection; blind source separation; correlation matrix; generalized eigenvalue decomposition; linear algebra; Blind source separation; Chaos; Eigenvalues and eigenfunctions; Equations; Linear algebra; Matrix decomposition; Phase measurement; Statistics; Symmetric matrices; Telecommunication computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.831541
Filename
831541
Link To Document