A new class of self‐normalising LMS algorithms

Abstract Many researchers and practitioners make heavy use of the least mean squares (LMS) algorithm as an efficient adaptive filter suitable for a multitude of problems. Despite being versatile and efficient, a drawback of this algorithm is that the adaptation rate, i.e. step‐size, has to be chosen...

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Bibliographic Details
Main Authors: Oliver Ploder, Oliver Lang, Thomas Paireder, Christian Motz, Mario Huemer
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:Electronics Letters
Online Access:https://doi.org/10.1049/ell2.12498