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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Autores principales: | Rodrigo Pimenta, Leonardo Resende, Mariane R. Petraglia, Diego B. Haddad |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Wiley
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/7fb736fb05df409481b81671f4be1ac7 |
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