Input Balanced Realization Based Adaptive IR Filters with Guaranteed Stability

Author

Zhou, Jiong ; Li, Gang

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.

fYear

0

fDate

0-0 0

Firstpage

913

Lastpage

916

Abstract

Stability is one of the most important issues in designing adaptive IIR filters. The stability properties of an adaptive filter depend strongly on the filter parametrization and structure. In this paper, based on an input balanced state-space realization, a new parametrization is proposed, under which no stability monitoring is needed. More importantly, the proposed adaptive filter is proved to be bounded-input bounded-output (BIBO) stable in the time-varying environment. Simulations are given, which support our theoretical analysis

Keywords

IIR filters; adaptive filters; filtering theory; realisation theory; state-space methods; time-varying filters; BIBO stable; adaptive IIR filter; bounded-input bounded-output; filter parametrization; infinite impulse response; stability property; state-space realization; time-varying environment; Adaptive filters; Computational efficiency; Computational modeling; Condition monitoring; Error correction; Finite impulse response filter; IIR filters; Lattices; Stability; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2005 Fifth International Conference on

Conference_Location

Bangkok

Print_ISBN

0-7803-9283-3

Type

conf

DOI

10.1109/ICICS.2005.1689182

Filename

1689182