Title :
Class 3 adaptive filters using time domain smoothing
Author :
Rivera-Colon, Ramfis ; Lindquist, Claude S. ; Reddy, Sridhar P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
Abstract :
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
Keywords :
adaptive filters; digital filters; electrocardiography; filtering and prediction theory; medical signal processing; signal detection; time-domain synthesis; transfer functions; Class 3 adaptive filters; EEG signals; band-limited filters; filter performance; noise; simulations; time domain smoothing; time domain smoothing windows; transfer functions; Adaptive filters; Biomedical engineering; Brain modeling; Convolution; Electroencephalography; Equations; Frequency domain analysis; Random variables; Signal processing; Smoothing methods; Stochastic processes; Transfer functions;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342355
