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 |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.