Title :
The generalized eigen-decomposition approach to blind source problems
Author_Institution :
Dept. de Electron. e Telecomunicacoes, Aveiro Univ., Portugal
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831541
