DocumentCode :
3090365
Title :
Tracking characteristics of the constrained IIR adaptive notch filter
Author :
Rao, B.D. ; Rong Peng
Author_Institution :
Univ. of California, San Diego, La Jolla, Ca
Volume :
26
fYear :
1987
fDate :
9-11 Dec. 1987
Firstpage :
1996
Lastpage :
2001
Abstract :
In this paper, we study the tracking behavior of a constrained IIR notch filter whose coefficients are estimated using a constant step size Gauss-Newton algorithm. Using weak convergence theory and the concept of prescaling, it is shown that the mean behavior of the adaptive filter coefficients can be studied by using an ordinary differential equation (ODE). Approximate and simple closed form results are derived for the tracking behavior of a second order notch filter. Computer simulations are presented to substantiate the analysis.
Keywords :
Adaptive filters; Autoregressive processes; Decorrelation; Delay; Differential equations; Frequency; IIR filters; Least squares methods; Newton method; Recursive estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1987. 26th IEEE Conference on
Conference_Location :
Los Angeles, California, USA
Type :
conf
DOI :
10.1109/CDC.1987.272884
Filename :
4049650
Link To Document :
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