DocumentCode :
336901
Title :
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
Link To Document :
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