Robust and Efficient Feature Extraction for Spike Sorting via the Walsh-Hadamard Transform
WHT demonstrates greater robustness to noise, downsampling, reduced training size, and distance metric selection, maintaining standard deviations typically below 5%, while CHT and PCA reach up to 10% under high-noise conditions.