A piloted adaptive notch filter

In the implementation of an adaptive notch filter using the least mean squares (LMS) algorithm, the zero of the filter is steered toward the input sinusoid based on the gradient information. The convergent may be speeded up if a larger step size is used when the zero of the notch filter is far away...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 53; H. 4; S. 1310 - 1323
Hauptverfasser:	Yong Ching Lim, Yue Xian Zou, Zheng, N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.04.2005 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithms Adaptive filters Adaptive notch filter Algorithms Applied sciences Convergence Cost engineering Costs Data mining Detection, estimation, filtering, equalization, prediction Estimates Exact sciences and technology fast convergence Frequency estimation Information filtering Information filters Information, signal and communications theory Least mean square algorithms least mean squares algorithm Least squares approximation low misadjustment Notch filters Notches pilot notches Pilots Receivers & amplifiers Sampling Sampling methods Sampling, quantization Signal and communications theory Signal, noise steering direction Studies Telecommunications and information theory variable step-size algorithm Averaging method Adaptive notch filter low misadjustment fast convergence Information extraction Adaptive filter variable step-size algorithm Algorithm pilot notches Implementation Notch filter Time domain method Simulation steering direction Convergence rate least mean squares algorithm Sampling Sinusoidal signal Gradient method Least mean squares methods
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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