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Seyreklik Tabanli Uzam-zamansal EEG Kaynak Kestirimi (Sparsity-driven Spatio-temporal EEG Source Estimation)
Authors: Ozge Batu, Müjdat Çetin
Published in: IEEE Conference on Signal Processing, Communications, and their Applications, Antalya, Turkey, April 2011 (in Turkish)
Publication year: 2011
Abstract: We consider the problem of sparse source estimation using multiple time samples. We propose the use of a spatio-temporal constraint which is a combination of spatial `1-norm for sparsity and temporal `2-norm for nonspiky pattern in time. We demonstrate the effectiveness of this spatio-temporal method through experiments based on both simulated and human EEG data.
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