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. © 2011 Javidi, Mandic, Took and Cichocki.
CITATION STYLE
Javidi, S., Mandic, D. P., Took, C. C., & Cichocki, A. (2011). Kurtosis-based blind source extraction of complex non-circular signals with application in EEG artifact removal in real-time. Frontiers in Neuroscience, (OCT). https://doi.org/10.3389/fnins.2011.00105
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