CAUCHY NON-CONVEX SPARSE FEATURE SELECTION METHOD FOR THE HIGH-DIMENSIONAL SMALL-SAMPLE PROBLEM IN MOTOR IMAGERY EEG DECODING

Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding

IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding.However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses significant challenges for motor imagery decoding.Sparse regularization is an effective method for addressing this i

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