Adaptive IIR filtering with monic normalization: reduced-order approximation

Author

Kim, Hyoung-Nam ; Song, Woo-Jin

Author_Institution

Dept. of Electron. & Electr. Eng., Pohang Inst. of Sci. & Technol., South Korea

Volume

7

Issue

3

fYear

2000

fDate

3/1/2000 12:00:00 AM

Firstpage

54

Lastpage

56

Abstract

The monic normalization equation-error (MNEE) algorithm for adaptive IIR filtering is applied to the reduced-order identification. It is shown that the parameter estimates converge to the solution of the well-known eigenvalue equation. Unlike the ordinary equation-error adaptive IIR filter, the MNEE adaptive IIR filter matches the second-order response as well as the impulse response of an unknown system. The simulation results confirm that the simple MNEE algorithm can provide a stable, unbiased estimate in the reduced-order case.

Keywords

IIR filters; adaptive filters; approximation theory; convergence of numerical methods; filtering theory; identification; MNEE adaptive IIR filter; MNEE algorithm; adaptive IIR filtering; convergence; eigenvalue equation; equation-error adaptive IIR filter; impulse response; monic normalization equation-error algorithm; parameter estimates; reduced-order approximation; reduced-order identification; second-order response; simulation results; stable unbiased estimate; white measurement noise; Adaptive filters; Approximation algorithms; Eigenvalues and eigenfunctions; Equations; Filtering algorithms; IIR filters; Parameter estimation; Stability; System identification;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.823524

Filename

823524