Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.215312
Title: On statistical efficiency of the LMS algorithm in system modeling
Authors: Farhang-Boroujeny, B. 
Issue Date: May-1993
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
URI: http://scholarbank.nus.edu.sg/handle/10635/62526
ISSN: 1053587X
DOI: 10.1109/78.215312
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