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
fDate :
2/1/1993 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on