Kurtosis Based Blind Source Extraction of Complex Noncircular Signals with Application in EEG Artifact Removal
نویسندگان
چکیده
An online blind extraction algorithm, suitable for the generality of complex-valued sources, both complex circular and noncircular, is introduced. This is achieved based on higher order statistics of latent sources, and using the deflation approach. The novelty of the proposed approach is that the cost function is designed so as to be robust to both circular and noncircular second order additive noise. The analysis is supported by simulations in both noise-free and noisy scenarios, and by practical example of conditioning of EEG signals for the removal of artifacts.
منابع مشابه
Kurtosis-Based Blind Source Extraction of Complex Non-Circular Signals with Application in EEG Artifact Removal in Real-Time
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...
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