On the steady‐state performance of bias‐compensated LMS algorithm

Abstract Adaptive filtering algorithms are widespread today owing to their flexibility and simplicity. Due to environments in which they are normally immersed, their robustness against noise has been a topic of interest. Traditionally, in the literature it is assumed that noise is mainly active in t...

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Bibliographic Details
Main Authors: Rodrigo Pimenta, Leonardo Resende, Mariane R. Petraglia, Diego B. Haddad
Format: article
Language:EN
Published: Wiley 2021
Subjects:
Online Access:https://doaj.org/article/7fb736fb05df409481b81671f4be1ac7
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