DocumentCode
1637648
Title
Mean-squared error analysis of an adaptive notch filter
Author
Nishimura, S. ; Kim, J.K. ; Hirano, K.
Author_Institution
Fac. of Eng., Kobe Univ., Japan
fYear
1989
Firstpage
732
Abstract
A mean-square-error analysis of the steady-state coefficient fluctuation of an infinite impulse response (IIR) adaptive notch filter, whose coefficients are estimated by simple gradient and sign gradient algorithms, is presented. Regarding the magnitude and phase responses of the transfer function that is used to realize a second-order IIR adaptive notch filter, it is shown that the filter-coefficient estimation error can be studied by using first-order ordinary difference equations with stochastic input. Simple closed-form results are derived for the mean-square error of the steady-state coefficients. The results of computer experiments are presented to substantiate the analysis
Keywords
adaptive filters; digital filters; error analysis; notch filters; transfer functions; adaptive notch filter; coefficient estimation; computer experiments; filter-coefficient estimation error; first-order ordinary difference equations; infinite impulse response; mean-square error; mean-square-error analysis; second-order IIR adaptive notch filter; sign gradient algorithms; simple closed-form results; simple gradient algorithms; steady-state coefficient fluctuation; steady-state coefficients; stochastic input; transfer function magnitude; transfer function phase responses; Adaptive filters; Algorithm design and analysis; Difference equations; Error analysis; Estimation error; Fluctuations; IIR filters; Steady-state; Stochastic processes; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location
Portland, OR
Type
conf
DOI
10.1109/ISCAS.1989.100455
Filename
100455
Link To Document