Hyperstable adaptive IIR algorithms with polyphase structures: analysis and design

Author

López-Valcarce, Roberto ; Mosquera, Carlos ; Pérez-González, Fernando

Author_Institution

Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA

Volume

47

Issue

7

fYear

1999

fDate

7/1/1999 12:00:00 AM

Firstpage

2043

Lastpage

2046

Abstract

We consider adaptive identification algorithms based on hyperstability concepts with polyphase structures. The SPR condition required for convergence of these schemes can be always met by using a sufficiently high polyphase expansion factor M. The degree of persistent excitation required for parameter convergence is obtained. If some a priori knowledge about the system to identify is available, a compensating filter can be designed to avoid the need for a high M

Keywords

IIR filters; adaptive filters; adaptive signal processing; filtering theory; identification; numerical stability; adaptive IIR filtering; adaptive identification algorithms; compensating filter; convergence; high polyphase expansion factor; hyperstable adaptive IIR algorithms; parameter convergence; polyphase structures; Adaptive filters; Algorithm design and analysis; Circuits; Convergence; IIR filters; Polynomials; Random variables; Signal processing; Signal processing algorithms; Stochastic processes;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.771052

Filename

771052