Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.215312
DC FieldValue
dc.titleOn statistical efficiency of the LMS algorithm in system modeling
dc.contributor.authorFarhang-Boroujeny, B.
dc.date.accessioned2014-10-07T03:02:11Z
dc.date.available2014-10-07T03:02:11Z
dc.date.issued1993-05
dc.identifier.citationFarhang-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
dc.identifier.issn1053587X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/80868
dc.description.abstractThe 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/78.215312
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1109/78.215312
dc.description.sourcetitleIEEE Transactions on Signal Processing
dc.description.volume41
dc.description.issue5
dc.description.page1947-1951
dc.description.codenITPRE
dc.identifier.isiutA1993LC85400016
Appears in Collections:Staff Publications

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