DocumentCode
1535067
Title
Blind Source Separation by Entropy Rate Minimization
Author
Gómez-Herrero, Germán ; Rutanen, Kalle ; Egiazarian, Karen
Author_Institution
Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
Volume
17
Issue
2
fYear
2010
Firstpage
153
Lastpage
156
Abstract
An algorithm for the blind separation of mutually independent and/or temporally correlated sources is presented in this letter. The algorithm is closely related to the maximum likelihood approach based on entropy rate minimization but uses a simpler contrast function that can be accurately and efficiently estimated using nearest-neighbor distances. The advantages of the new algorithm are highlighted using simulations and real electroencephalographic data.
Keywords
blind source separation; electroencephalography; entropy; independent component analysis; maximum likelihood estimation; medical signal processing; minimisation; neurophysiology; blind source separation; contrast function; correlated source; electroencephalographic data; entropy rate minimization; independent component analysis; maximum likelihood approach; Blind source separation; electroencephalography; independent component analysis;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2009.2035731
Filename
5308207
Link To Document