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

fYear

1993

fDate

1-3 Nov 1993

Firstpage

1538

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342355

Filename

342355