DocumentCode :
2262941
Title :
New nonlinear adaptive IIR digital filters
Author :
Li, Qiu Ping ; Kwan, Hon Keung
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
fYear :
1993
fDate :
16-18 Aug 1993
Firstpage :
134
Abstract :
A new structure and its adaptive algorithm of a nonlinear adaptive IIR digital filter is presented. With the use of a nonlinear saturation function at the output, the stability problem adherent to conventional linear adaptive IIR digital filters can be avoided. The individual parameter adaptation scheme is developed into the adaptive algorithm to optimally adjust each parameter at every iteration. Based on the application in adaptive system identifications of linear IIR digital filters, simulation results obtained show that the new nonlinear adaptive IIR digital filters outperform those of linear adaptive IIR digital filters in terms of convergence speed and final output error residuals
Keywords :
IIR filters; circuit stability; convergence; digital filters; filtering theory; identification; nonlinear filters; IIR digital filters; adaptive algorithm; adaptive system identifications; convergence speed; individual parameter adaptation scheme; nonlinear adaptive; nonlinear saturation function; stability; Adaptive filters; Adaptive systems; Computational complexity; Convergence; Difference equations; Digital filters; Finite impulse response filter; IIR filters; Nonlinear filters; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
Type :
conf
DOI :
10.1109/MWSCAS.1993.343047
Filename :
343047
Link To Document :
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