Kurtosis based Blind Source Extraction of Complex Noncircular Signals with Application in EEG Artifact Removal in Real-time

Javidi, S, Cheong Took, C, Mandic, D and Cichocki, A (2011) Kurtosis based Blind Source Extraction of Complex Noncircular Signals with Application in EEG Artifact Removal in Real-time Frontiers in Neuroscience, 5, 105.

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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.

Item Type:	Article
Authors :	Name Email ORCID Javidi, S Cheong Took, C c.cheongtook@surrey.ac.uk Mandic, D Cichocki, A
Date :	10 October 2011
DOI :	10.3389/fnins.2011.00105
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:37
Last Modified :	16 Jan 2019 18:33
URI:	http://epubs.surrey.ac.uk/id/eprint/836051

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