A novel kurtosis driven variable step-size adaptive algorithm

A new variable step-size LMS filter is introduced. The time-varying step-size sequence is adjusted, utilizing the kurtosis of the estimation error, therefore reducing performance degradation due to the existence of strong noise. The convergence properties of the algorithm are analyzed, and an adapti...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 47; no. 3; pp. 864 - 872
Main Authors:	Pazaitis, D.I., Constantinides, A.G.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.03.1999 Institute of Electrical and Electronics Engineers
Subjects:	Adaptive algorithm Adaptive algorithms Adaptive filters Adaptive signal processing Algorithms Applied sciences Convergence Detection, estimation, filtering, equalization, prediction Equations Exact sciences and technology Filtering algorithms Flexibility Information, signal and communications theory Kurtosis Least squares methods Noise Numerical stability Optimization Signal and communications theory Signal processing Signal processing algorithms Signal, noise Statistics Telecommunications and information theory Transversal filters Signal processing Estimation error Adaptive filter Least squares method
ISSN:	1053-587X
Online Access:	Get full text
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