DocumentCode
311302
Title
Adaptive periodic IIR filters
Author
Whikehart, J. William ; Dasgupta, Soura
Author_Institution
Ford Motor Co., Dearborn, MI, USA
Volume
3
fYear
1997
fDate
21-24 Apr 1997
Firstpage
2289
Abstract
We consider adaptive periodic IIR filtering and present an extension of the hyperstable adaptive recursive filter (HARF). We give conditions for convergence of the parameter estimate error, involving passivity of certain operators in the identification loop, identifiability of the system parameters, and persistent excitation (PE). A necessary and sufficient condition for identifiability is given and subject to its satisfaction, input-only conditions guaranteeing PE are given
Keywords
IIR filters; adaptive filters; convergence of numerical methods; filtering theory; parameter estimation; recursive filters; IIR filters; adaptive periodic filtering; convergence; hyperstable adaptive recursive filter; identifiability; identification loop; input-only conditions; parameter estimate error; persistent excitation; system parameters; Adaptive filters; Cities and towns; Computer errors; Convergence; Filtering; IIR filters; Nonlinear filters; Parameter estimation; Speech; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.599509
Filename
599509
Link To Document