An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques

This paper presents a novel robust adaptive filtering scheme based on the interactive use of statistical noise information and the ideas developed originally for efficient algorithmic solutions to the convex feasibility problems. The statistical noise information is quantitatively formulated as stoc...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 50; no. 5; pp. 1091 - 1101
Main Authors:	Yamada, I., Slavakis, K., Yamada, K.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.05.2002 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive algorithm Adaptive filters Algorithms Applied sciences Computational efficiency Concurrent computing Convergence of numerical methods Detection, estimation, filtering, equalization, prediction Equations Exact sciences and technology Filtering algorithms Half spaces Information, signal and communications theory Inspection Linear equations Mathematical models Noise Noise robustness Projection Projection algorithms Signal and communications theory Signal, noise Stochastic resonance Studies Telecommunications and information theory Projection method Adaptive algorithm Adaptive filtering Parallel processing Signal processing Iterative method Set theory Adaptive estimation Gradient method Least mean squares methods
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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