Spectral Decomposition of EEG Intervals Using Walsh and Fourier Transforms

This paper presents a comparison of the use of features derived from Walsh and Fourier transforms for classification of short segments of EEG data. The result was that features obtained from Fourier transforms produced consistently better classification results than Walsh function-derived features.