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Title: Convex combination of adaptive filters for a variable tap-length LMS algorithm
Authors: Zhang, Yonggang
Chambers, Jonathon
Keywords: Adaptive filters
Convex combination filters
Variable tap-length least-mean-square (LMS) algorithm
Issue Date: 2006
Publisher: © IEEE
Citation: ZHANG, Y. and CHAMBERS, J.A., 2006. Convex combination of adaptive filters for a variable tap-length LMS algorithm. IEEE Signal Processing Letters, 13 (10), pp. 628-631.
Abstract: A convex combination of adaptive filters is utilized to improve the performance of a variable tap-length least-mean-square (LMS) algorithm in a low signal-to-noise environment (SNR 0 dB). As shown by our simulations, the adaptation of the tap-length in the variable tap-length LMS algorithm is highly affected by the parameter choice and the noise level. Combination approaches can improve such adaptation by exploiting advantages of parallel adaptive filters with different parameters. Simulation results support the good properties of the proposed method.
Description: This article was published in the journal IEEE Signal Processing Letters [© IEEE] and is also available at: http://ieeexplore.ieee.org/. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/LSP.2006.879457
URI: https://dspace.lboro.ac.uk/2134/5527
ISSN: 1070-9908
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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