Title
Blind Spatiotemporal Separation Of Second And/Or Higher-Order Correlated Sources By Entropy Rate Minimization
Abstract
We propose a new entropy rate estimator for a second and/or higher-order correlated source by modeling it as the output of a linear filter, which can be mixed-phase, driven by Gaussian or non-Gaussian noise. Based on this estimator, we develop a new spatiotemporal blind source separation (BSS) algorithm, full BSS (FBSS), by minimizing the entropy rate of separated sources. FBSS provides more flexibilities in exploiting the temporal structures of sources than the state-of-the-art spatiotemporal BSS algorithms, which use AR models, and thus imply minimum-phase property of sources.
Year
DOI
Venue
2010
10.1109/ICASSP.2010.5495311
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Keywords
Field
DocType
Blind source separation, independent component analysis, spatiotemporal separation, entropy rate
Entropy rate,Pattern recognition,Computer science,Gaussian,Artificial intelligence,Independent component analysis,Estimation theory,Blind signal separation,Gaussian noise,Source separation,Estimator
Conference
ISSN
Citations 
PageRank 
1520-6149
16
0.90
References 
Authors
9
2
Name
Order
Citations
PageRank
Xi-Lin Li154734.85
Tülay Adali21690126.40