Kurtosis Based Blind Source Extraction of Complex Noncircular Signals with Application in EEG Artifact Removal in Real Time
Author(s)
Javidi, S
Mandic, DP
Cheong Took, C
Cichocki, A
Type
Journal Article
Abstract
A new class of complex domain blind source extraction algorithms suitable for the extraction of both circular and non-circular complex signals is proposed. This is achieved through sequential extraction based on the degree of kurtosis and in the presence of non-circular measurement noise. The existence and uniqueness analysis of the solution is followed by a study of fast converging variants of the algorithm. The performance is first assessed through simulations on well understood benchmark signals, followed by a case study on real-time artifact removal from EEG signals, verified using both qualitative and quantitative metrics. The results illustrate the power of the proposed approach in real-time blind extraction of general complex-valued sources.
Date Issued
2011-10-10
Date Acceptance
2011-08-23
Citation
Frontiers in Neuroscience, 2011, 5
ISSN
1662-4548
Publisher
Frontiers
Journal / Book Title
Frontiers in Neuroscience
Volume
5
Copyright Statement
© 2011 Javidi, Mandic, Took and Cichocki. This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
License URL
Publication Status
Published
Article Number
105