The variable step‐size LMS/F algorithm using nonparametric method for adaptive system identification

Summary A fundamental challenge affecting the performance of a system is the undesired effect of noise on the system. Practically, real‐time systems are influenced by Gaussian noise and impulsive noise. Identification of these nonlinear physical systems in the presence of noise offers broader applic...

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Vydané v:	International journal of adaptive control and signal processing Ročník 34; číslo 12; s. 1799 - 1811
Hlavní autori:	Patnaik, Ansuman, Nanda, Sarita
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 01.12.2020 Wiley Subscription Services, Inc
Predmet:	Adaptive algorithms Adaptive systems Algorithms Convergence Gaussian noise impulsive noise Noise Nonlinear systems nonparametric Nonparametric statistics Random noise System identification variable step‐size Volterra modeling
ISSN:	0890-6327, 1099-1115
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