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Within the initial stage of HSI classification, most methods take spectral features, such as independent component analysis (ICA) [6] and support vector machines (SVM) [7], as the primary classification basis. However, the HSI classification results obtained by these methods are unsatisfactory ...
In a single trial, the EEG signal in each frequency band is divided into a three-second nonoverlapping Hanning window, and the PSD characteristics of the k-electrode are extracted from each clip to produce a 4 k-dimensional characteristic vector in all four frequency bands. To effectively ...