Stochastic Modeling of the Set-Membership- Sign-NLMS Algorithm

Stochastic Modeling of the Set-Membership- Sign-NLMS Algorithm

This paper proposes the Set-Membership sign-NLMS (SM-sign-NLMS) adaptive filter, which combines the ability for data censoring (offered by Set-Membership schemes) with robustness against impulsive noise (provided by signed schemes). The algorithm can present a much lower steady-state probability of...

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Bibliographic Details
Main Authors: Jose V. G. De Souza, Felipe Da R. Henriques, Newton N. Siqueira, Luis Tarrataca, Fabio A. A. Andrade, Diego B. Haddad
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Set-membership
adaptive filtering
data censoring
computational complexity
stochastic models
Online Access:https://ieeexplore.ieee.org/document/10445253/

Internet

https://ieeexplore.ieee.org/document/10445253/

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