@inproceedings{ac53ea2a09e648b1bfdb717bd39fd289,
title = "Convergence analysis of clipped input adaptive filters applied to system identification",
abstract = "One of the efficient solutions for the identification of long finite-impulse response systems is the three-level clipped input LMS/RLS (CLMS/CRLS) adaptive filter. In this paper, we first derive the convergence behavior of the CLMS and CRLS algorithms for both time-invariant and time-varying system identification. In addition, we employ results arising from this analysis to derive the optimal step-size and forgetting factor for CLMS and CRLS. We show that these optimal step-size and forgetting factor allow the algorithms to achieve a low steady-state misalignment.",
keywords = "Adaptive filter, Clipping, Convergence rate, Misalignment, System identification",
author = "Mehdi Bekrani and Khong, {Andy W.H.}",
year = "2012",
doi = "10.1109/ACSSC.2012.6489124",
language = "English",
isbn = "9781467350518",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
pages = "801--805",
booktitle = "Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012",
note = "46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 ; Conference date: 04-11-2012 Through 07-11-2012",
}