Please use this identifier to cite or link to this item:
|Title:||Performance of LMS-based adaptive filters in tracking a time-varying plant|
|Authors:||Farhang-Boroujeny, B. |
|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.|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 27, 2018
WEB OF SCIENCETM
checked on Apr 23, 2018
checked on Mar 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.