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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Auteurs principaux: Rodrigo Pimenta, Leonardo Resende, Mariane R. Petraglia, Diego B. Haddad
Format: article
Langue:EN
Publié: Wiley 2021
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Accès en ligne:https://doaj.org/article/7fb736fb05df409481b81671f4be1ac7
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