Comments on “Fractional LMS algorithm”

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• 作者：Neil J. Bershad^a ; ^{bershad@ece.uci.edu} ; Fuxi Wen^b ; ^{wenfuxi@hotmail.com} ; Hing Cheung So^c ; ¹ ; ^{hcso@ee.cityu.edu.hk}
• 关键词：Least mean squares algorithm ; Fractional least mean squares algorithm
• 刊名：Signal Processing
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：133
• 期：Complete
• 页码：219-226
• 全文大小：1811 K
• 卷排序：133

文摘

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.