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Title: A novel adaptive leakage factor scheme for enhancement of a variable tap-length learning algorithm.
Authors: Li, Leilei
Chambers, Jonathon
Keywords: Adaptive signal processing
Adaptive filters
Variable tap-length
Adaptive leakage factor
Issue Date: 2008
Publisher: © IEEE
Citation: LI, L., and CHAMBERS, J.A., 2008. A novel adaptive leakage factor scheme for enhancement of a variable tap-length learning algorithm. IN: Proceedings of 2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), Las Vegas, Nevada, 31 March-4 April, pp. 3837-3840.
Abstract: In this paper a new adaptive leakage factor variable tap-length learning algorithm is proposed. Through analysis the converged difference between the segmented mean square error (MSE) of a filter formed from a number of the initial coefficients of an adaptive filter, and the MSE of the full adaptive filter, is confirmed as a function of the tap-length of the adaptive filter to be monotonically non-increasing. This analysis also provides a systematic way to select the key parameters in the fractional tap-length (FT) learning algorithm, first proposed by Gong and Cowan, to ensure convergence to permit calculation of the true tap-length of the unknown system and motivates the need for adaptation in the leakage factor during learning. A new strategy for adaptation of the leakage factor is therefore developed to satisfy these requirements with both small and large initial tap-length. Simulation results are presented which confirm the advantages of the proposed scheme over the original FT scheme.
Description: This is a conference paper [© IEEE]. It 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/ICASSP.2008.4518490
URI: https://dspace.lboro.ac.uk/2134/5589
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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