Adaptive IIR filtering

Author

Shynk, John J.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

6

Issue

2

fYear

1989

fDate

4/1/1989 12:00:00 AM

Firstpage

4

Lastpage

21

Abstract

An overview is presented of several methods, filter structures, and recursive algorithms used in adaptive infinite-impulse response (IIR) filtering. Both the equation-error and output-error formulations are described, although the focus is on the adaptive algorithms and properties of the output-error configuration. These parameter-update algorithms have the same generic form, and they are based on a prediction-error performance criterion. A direct-form implementation of the adaptive filters is emphasized, but alternative realizations such as the parallel and lattice forms are briefly discussed. Several important issues associated with adaptive IIR filtering, including stability monitoring, the SPR condition, and convergence, are addressed.<>

Keywords

adaptive filters; convergence; digital filters; filtering and prediction theory; reviews; signal processing; stability; SPR condition; adaptive IIR filtering; adaptive filters; convergence; digital filters; equation error formulation; infinite-impulse response; lattice forms; output-error formulations; overview; parallel forms; parameter-update algorithms; prediction-error performance criterion; recursive algorithms; signal processing; stability monitoring; Adaptive control; Adaptive filters; Additive noise; Equations; Filtering; Finite impulse response filter; IIR filters; Programmable control; Signal processing algorithms; System identification;

fLanguage

English

Journal_Title

ASSP Magazine, IEEE

Publisher

ieee

ISSN

0740-7467

Type

jour

DOI

10.1109/53.29644

Filename

29644