Title :
Adaptive periodic IIR filters
Author :
Whikehart, J. William ; Dasgupta, Soura
Author_Institution :
Ford Motor Co., Dearborn, MI, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599509
