Title :
Blind source separation using a matrix pencil
Author_Institution :
Dept. de Electron. e Telecoms, Aveiro Univ., Portugal
Abstract :
The blind source separation might be addressed as a generalized eigenvalue problem. A complete formulation using linear algebra statements shows that the required matrix pencil might be computed at the input and at the output of a simple linear filter. This method is evaluated against FastICA algorithm
Keywords :
FIR filters; matrix algebra; signal processing; FastICA algorithm; blind source separation; generalized eigenvalue problem; matrix pencil; Biomedical measurements; Blind source separation; Covariance matrix; Eigenvalues and eigenfunctions; Equations; Finite impulse response filter; Linear algebra; Matrix decomposition; Nonlinear filters; Phase measurement;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861327
