Class 3 adaptive filters using time domain smoothing

A design of Class 3 adaptive filters using time domain smoothing is presented. These filters require no apriori knowledge about the signal and noise that are being processed. Class 3 filter performance depends on the smoothing used and the signals and noises presented to the transfer functions. Different time domain smoothing windows are considered. Simulations using EEG signals confirm that these Class 3 transfer functions degenerate to classical band-limited filters.<
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