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• W2574351649 abstract "The xDAWN algorithm is well-known as a method for designing spatial filters to improve signal-to-noise ratio and to reduce the dimension of observed EEG signals. This paper proposes a method for spatially smoothing xDAWN spatial filters to give a robustness against small sample problem. The proposed method gives a subspace constraint to the parameter space of the spatial filters. This subspace is given as a basis of the graph Fourier transform on a graph representing geometric structure of the electrodes. The spatial filters found in the subspace are smooth in the spatial domain. The proposed method is evaluated by experiments with artificial signals and BCI datasets." @default.
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• W2574351649 date "2016-12-01" @default.
• W2574351649 modified "2023-10-03" @default.
• W2574351649 title "Smoothing of xDAWN spatial filters for robust extraction of event-related potentials" @default.
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• W2574351649 doi "https://doi.org/10.1109/apsipa.2016.7820750" @default.
• W2574351649 hasPublicationYear "2016" @default.
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