Convex Combination of Adaptive Filters for a Variable.pdf (295.37 kB)
Convex combination of adaptive filters for a variable tap-length LMS algorithm
journal contribution
posted on 2009-11-26, 10:30 authored by Yonggang Zhang, Jonathon ChambersA 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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
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.Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2006Notes
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.ISSN
1070-9908Language
- en