Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.542445
Title: Performance of LMS-based adaptive filters in tracking a time-varying plant
Authors: Farhang-Boroujeny, B. 
Gazor, S.
Issue Date: 1996
Source: Farhang-Boroujeny, B., Gazor, S. (1996). Performance of LMS-based adaptive filters in tracking a time-varying plant. IEEE Transactions on Signal Processing 44 (11) : 2868-2871. ScholarBank@NUS Repository. https://doi.org/10.1109/78.542445
Abstract: This correspondence gives a general analysis of the LMSbased adaptive filters when used for tracking a class of time varying plants. The algorithms covered are the conventional LMS, the transformdomain normalized LMS, and the LMS/JNewton algorithm. An important fact that we observe is that in comparing these algorithms, better initial convergence does not necessarily mean better tracking. A few special cases are presented that show the contrary. © 1996 IEEE.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/62607
ISSN: 1053587X
DOI: 10.1109/78.542445
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

18
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

17
checked on Nov 22, 2017

Page view(s)

15
checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.