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
Citation: 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/10635/80964
ISSN: 1053587X
DOI: 10.1109/78.542445
Appears in Collections:Staff Publications

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