Please use this identifier to cite or link to this item:
|Title:||On statistical efficiency of the LMS algorithm in system modeling|
|Source:||Farhang-Boroujeny, B. (1993-05). On statistical efficiency of the LMS algorithm in system modeling. IEEE Transactions on Signal Processing 41 (5) : 1947-1951. ScholarBank@NUS Repository. https://doi.org/10.1109/78.215312|
|Abstract:||The conventional least mean square (LMS) algorithm is compared with the ideal LMS/Newton (ILMSN) algorithm. It is shown that, although, under certain conditions, for similar misadjustment, the output mean square error (MSE) of the ILMSN algorithm may converge much faster than the MSE of the LMS algorithm, the difference between the two algorithms may not be that great if misalignments of the adaptive filter tap-gains are compared. Analytical results are presented, with computer simulations that support their validity.|
|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 Dec 13, 2017
WEB OF SCIENCETM
checked on Nov 5, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.