Title :
Nonlinear adaptive IIR digital filter for linear system modeling
Author :
Li, Qiu Ping ; Kwan, Hon Keung
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
fDate :
9/1/1995 12:00:00 AM
Abstract :
The structure and adaptive algorithm of a nonlinear adaptive IIR digital filter is presented. It does not need stability monitoring in the adaptive process, which has always been a computational burden and disturbs the adaptive process in linear adaptive IIR filtering. The individual parameter adaptation scheme is incorporated into the adaptive algorithm to optimally adjust each parameter at every iteration to improve convergence speed. Simulation results are conducted for linear IIR system modeling
Keywords :
IIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; linear systems; nonlinear filters; adaptive algorithm; iteration; linear IIR system modeling; nonlinear adaptive IIR digital filter; parameter adaptation; simulation results; Adaptive algorithm; Adaptive filters; Convergence; Digital filters; Filtering; IIR filters; Linear systems; Monitoring; Nonlinear filters; Stability;
Journal_Title :
Signal Processing, IEEE Transactions on
