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journal contribution
posted on 2009-11-25, 16:24 authored by Yonggang Zhang, Jonathon Chambers, Saeid Sanei, Paul Kendrick, Trevor J. CoxThis letter proposes a new variable tap-length least-mean-square (LMS) algorithm for applications in which the unknown filter impulse response sequence has an exponential decay
envelope. The algorithm is designed to minimize the mean-square
deviation (MSD) between the optimal and adaptive filter weight
vectors at each iteration. Simulation results show the proposed algorithm
has a faster convergence rate as compared with the fixed
tap-length LMS algorithm and is robust to the initial tap-length
choice.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
ZHANG, Y. ... et al, 2007. A new variable tap-length LMS algorithm to model an exponential decay impulse response. IEEE Signal Processing Letters, 14 (4), pp. 263-266.Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2007Notes
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