Comments on “Fractional LMS algorithm”

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

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Detail(s)

Original languageEnglish
Pages (from-to)219-226
Journal / PublicationSignal Processing
Volume133
Publication statusPublished - 1 Apr 2017

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DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-84997522697&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(57d95ced-158e-4d88-905a-187e35dfa0d0).html

Abstract

The purpose of this note is to point out that the recently proposed fractional least mean squares (FLMS) algorithm, whose derivation is based on fractional derivative, is not suitable for adaptive signal processing. Our claims are verified via extensive simulation results with comparison with the least mean squares (LMS) algorithm, indicating that the new method does not have any advantages over the classical one.

Research Area(s)

  • Fractional least mean squares algorithm, Least mean squares algorithm

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Comments on “Fractional LMS algorithm”. / Bershad, Neil J.; Wen, Fuxi; So, Hing Cheung.

In: Signal Processing, Vol. 133, 01.04.2017, p. 219-226.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review