Collaborative adaptive Volterra filters for nonlinear system identification in \(\alpha\)-stable noise environments

DOI10.1016/j.jfranklin.2016.08.025zbMath1349.93415OpenAlexW2517639974MaRDI QIDQ344637

Badong Chen, Haiquan Zhao, Lu Lu

Publication date: 24 November 2016

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.08.025

zbMATH Keywords

nonlinear system identificationadaptive Volterra filterleast mean \(p\)th power (LMP) algorithmnormalized LMP (NLMP) algorithm

Mathematics Subject Classification ID

Related Items (6)

Time series prediction using kernel adaptive filter with least mean absolute third loss function ⋮ Robust adaptive Volterra filter under maximum correntropy criteria in impulsive environments ⋮ A full mean-square analysis of CNSAF algorithm for noncircular inputs ⋮ Robust normalized subband adaptive filter algorithm against impulsive noises and noisy inputs ⋮ Influence of input noises on the mean-square performance of the normalized subband adaptive filter algorithm ⋮ \(\mathcal{L}_p\)-norm of the LMS algorithm for bilinear forms with \(\alpha\)-stable processes

Cites Work

• Plant identification via adaptive combination of transversal filters
• A general class of nonlinear normalized adaptive filtering algorithms
• Robust adaptive filtering algorithms for α-stable random processes
• Second-order Volterra filtering and its application to nonlinear system identification
• A Novel Adaptive Nonlinear Filter-Based Pipelined Feedforward Second-Order Volterra Architecture
• Combination of Recursive Least $p$-Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise
• Mean-square performance of a convex combination of two adaptive filters
• Nonlinear system identification in impulsive environments
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