Title :
Selection of transforms and the use of smoothing in class 2 and 3 adaptive filters
Author :
Lindquist, Claude S. ; Rivera-Colon, Ramfis
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
Class 2 and 3 adaptive filters utilize smoothing to obtain estimates of expected signal and/or noise. These estimates are then utilized to form estimation, detection and other algorithms. In this paper we discuss the selection of different transforms and the use of smoothing in Class 2/3 and 3 adaptive filters. These results are used to design EKG adaptive filters.
Keywords :
adaptive filters; EKG adaptive filters design; algorithms; class 2 adaptive filters; class 3 adaptive filters; detection; expected signal; noise; smoothing; transforms; Adaptive filters; Additive noise; Filtering; Fourier transforms; Frequency domain analysis; Matched filters; Smoothing methods; Tin; Transfer functions; Wideband;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540651
