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 | |||||||||||||||
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Divisions : | Surrey research (other units) | |||||||||||||||
Authors : |
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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 |
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