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Variable tap-length adaptive algorithm which exploits both second and fourth order statistics.
conference contribution
posted on 2009-12-04, 09:01 authored by Yonggang Zhang, Leilei Li, Jonathon ChambersA new variable tap-length adaptive algorithm
which exploits both second and fourth order statistics is
proposed in this paper. In this algorithm, the tap-length
of the adaptive filter is varying rather than fixed, and
controlled by fourth order statistics, whereas the coefficient
update retains a conventional least mean square
(LMS) form. As will be seen in the simulation results,
the proposed algorithm has a faster convergence rate as
compared with an existing variable tap-length LMS algorithm
which is based only on second order statistics in
sub-Gaussian noise environments.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
ZHANG, Y., LI, L. and CHAMBERS, J.A., 2008. Variable tap-length adaptive algorithm which exploits both second and fourth order statistics. IN: Proceedings of 2008 9th International Conference on Signal Processing (ICSP 2008), Beijing, China, 26-29 October, pp.223-226.Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2008Notes
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.Language
- en
