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.

Full text not available from this repository.

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
Divisions :	Surrey research (other units)
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 :	24 Jan 2020 22:32
URI:	http://epubs.surrey.ac.uk/id/eprint/836051

Actions (login required)

View Item

Downloads