DocumentCode :
851517
Title :
The gamma-filter-a new class of adaptive IIR filters with restricted feedback
Author :
Principe, Jose C. ; De Vries, Bert ; De Oliveira, Pedro G.
Author_Institution :
Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA
Volume :
41
Issue :
2
fYear :
1993
fDate :
2/1/1993 12:00:00 AM
Firstpage :
649
Lastpage :
656
Abstract :
Generalized feedforward filters, a class of adaptive filters that combines attractive properties of finite impulse response (FIR) filters with some of the power of infinite impulse response (IIR) filters, are described. A particular case, the gamma filter, generalizes Widrow´s adaptive transversal filter (adaline) to an infinite impulse response filter. Yet, the stability condition for the gamma filter is trivial, and LMS adaptation is of the same computational complexity as the conventional transversal filter structure. Preliminary results indicate that the gamma filter is more efficient than the adaptive transversal filter. The authors extend the Wiener-Kopf equation to the gamma filter and develop some analysis tools
Keywords :
adaptive filters; computational complexity; digital filters; frequency stability; least squares approximations; LMS adaptation; Widrow´s adaptive transversal filter; Wiener-Kopf equation; adaptive IIR filters; computational complexity; feedforward filters; gamma-filter; infinite impulse response; restricted feedback; stability condition; Adaptive filters; Adaptive signal processing; Biological system modeling; Computational complexity; Equations; Feedback; Finite impulse response filter; IIR filters; Least squares approximation; Stability; Transversal filters;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.193206
Filename :
193206
Link To Document :
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