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Progress in Blind Separation of Magnetoencephalographic Data
Pearlmutter, Barak A.; Jaramillo, Santiago
The match between the physics of MEG and the assumptions of the most well developed blind source separation (BSS) algorithms (unknown instantaneous linear mixing process, many sensors compared to expected recoverable sources, large data limit) have tempted researchers to apply these algorithms to MEG data. We review some of these efforts, with particular emphasis on our own work.
Keyword(s): Blind Separation; Magnetoencephalographic Data; algorithms; MEG
Publication Date:
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Pearlmutter, Barak A. and Jaramillo, Santiago (2003) Progress in Blind Separation of Magnetoencephalographic Data. Proceedings of SPIE, 5102. pp. 129-134. ISSN 0277-786X
Publisher(s): SPIE
File Format(s): other
Related Link(s):
First Indexed: 2020-04-02 06:32:15 Last Updated: 2020-04-02 06:32:15