Steady state analysis of the p-power algorithm for constrained adaptive IIR notch filter

Maha Shadaydeh; Yegui Xiao; Masayuki Kawamata

Steady state analysis of the p-power algorithm for constrained adaptive IIR notch filter

Maha Shadaydeh, Yegui Xiao, Masayuki Kawamata

ENG - Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper, we present the steady state analysis of the p-power algorithm for an adaptive IIR notch fi lter with constrained poles and zeros for the case when p = 3 and the sinusoidal signal is contaminated with additive Gaussian noise. We fi rstderive two difference equations for the convergence of the mean and the Mean Square Error (MSE), and then give the steady state estimation bias and MSE. Stability conditions based on the step size value are also discussed.

Original language	English
Pages	III664-III667
Publication status	Published - 2002 Dec 1
Event	2002 45th Midwest Symposium on Circuits and Systems - Tulsa, OK, United States Duration: 2002 Aug 4 → 2002 Aug 7

Other

Other	2002 45th Midwest Symposium on Circuits and Systems
Country	United States
City	Tulsa, OK
Period	02/8/4 → 02/8/7

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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title = "Steady state analysis of the p-power algorithm for constrained adaptive IIR notch filter",

abstract = "In this paper, we present the steady state analysis of the p-power algorithm for an adaptive IIR notch fi lter with constrained poles and zeros for the case when p = 3 and the sinusoidal signal is contaminated with additive Gaussian noise. We fi rstderive two difference equations for the convergence of the mean and the Mean Square Error (MSE), and then give the steady state estimation bias and MSE. Stability conditions based on the step size value are also discussed.",

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AU - Xiao, Yegui

AU - Kawamata, Masayuki

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Y1 - 2002/12/1

N2 - In this paper, we present the steady state analysis of the p-power algorithm for an adaptive IIR notch fi lter with constrained poles and zeros for the case when p = 3 and the sinusoidal signal is contaminated with additive Gaussian noise. We fi rstderive two difference equations for the convergence of the mean and the Mean Square Error (MSE), and then give the steady state estimation bias and MSE. Stability conditions based on the step size value are also discussed.

AB - In this paper, we present the steady state analysis of the p-power algorithm for an adaptive IIR notch fi lter with constrained poles and zeros for the case when p = 3 and the sinusoidal signal is contaminated with additive Gaussian noise. We fi rstderive two difference equations for the convergence of the mean and the Mean Square Error (MSE), and then give the steady state estimation bias and MSE. Stability conditions based on the step size value are also discussed.

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T2 - 2002 45th Midwest Symposium on Circuits and Systems

Y2 - 4 August 2002 through 7 August 2002

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