Adaptive IIR filtering using parallel-form realizations

Author

Shynk, John J.

Author_Institution

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

Volume

37

Issue

4

fYear

1989

fDate

4/1/1989 12:00:00 AM

Firstpage

519

Lastpage

533

Abstract

Several parallel-form adaptive IIR (infinite impulse response) filters are presented, including a frequency-domain implementation based on the discrete Fourier transform and a recursive frequency-sampling structure. The performance of the frequency-domain adaptive IIR filter is investigated in a system identification application, which includes an analysis of its modeling capabilities and a discussion of the mean-square-error performance surface. Computer simulation results are presented to illustrate the robust convergence properties of the adaptive algorithm and to demonstrate the stability of the filter

Keywords

adaptive filters; convergence; digital filters; fast Fourier transforms; filtering and prediction theory; adaptive IIR filter; convergence; discrete Fourier transform; frequency-domain implementation; infinite impulse response; mean-square-error performance; parallel-form filters; recursive frequency-sampling structure; stability; system identification; Adaptive filters; Application software; Computer simulation; Discrete Fourier transforms; Filtering; Frequency domain analysis; IIR filters; Performance analysis; Robust stability; System identification;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.17533

Filename

17533