Hyperstable polyphase adaptive IIR filters

Author

Mosquera, C. ; Pérez-González, F. ; Valcarce, R. López-

Author_Institution

Vigo Univ., Spain

Volume

4

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1841

Abstract

This work considers the implementation of recursive identification algorithms based on hyperstability concepts with polyphase structures. It is shown that the strictly positive real (SPR) condition required for convergence of these schemes can always be met by using a sufficiently high polyphase expansion factor M. For a given M, the degree of persistent excitation required for parameter convergence is obtained. When a priori knowledge about the unknown system is available, a compensating filter can be designed to avoid the need for a high M

Keywords

IIR filters; adaptive filters; adaptive signal processing; circuit stability; convergence of numerical methods; filtering theory; identification; recursive filters; SPR condition; compensating filter; convergence; high polyphase expansion factor; hyperstable polyphase adaptive IIR filters; parameter convergence; persistent excitation; polyphase structures; recursive identification algorithms; strictly positive real condition; Adaptive algorithm; Chromium; Convergence; Equations; Filtering algorithms; IIR filters; Polynomials; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.758280

Filename

758280