Modified Extrapolated LMS Algorithm

TitleModified Extrapolated LMS Algorithm
Publication TypeConference Paper
Year of Publication2008
AuthorsShehata, T. S., T. Aboulnasr, and M. El Tanany
Conference NameInstrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE
Pagination468 -471
Date Publishedmay.
Keywordsadaptive filter, adaptive filters, convergence of numerical methods, convergence speed, extrapolation, least mean squares methods, modified extrapolated LMS algorithm

This paper proposes a modification to extrapolated LMS algorithm proposed in the work of Sau-Gee Chen et al. (1996) to guarantee consistent improved convergence speed. Unlike the original extrapolated LMS algorithm that exhibits improved performance on specific runs but is not guaranteed to perform well at any given run, the proposed algorithm is based on the repeated application of the extrapolation process in a way that allows the algorithm to retain the ELMS advantage for any arbitrary run with limited additional complexity.


a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2021 The University of British Columbia