Robust least mean logarithmic square adaptive filtering algorithms

DOI10.1016/j.jfranklin.2018.10.019zbMath1405.93220OpenAlexW2901384774MaRDI QIDQ1757531

Shiyuan Wang, Kui Xiong

Publication date: 15 January 2019

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.10.019

zbMATH Keywords

adaptive filtering algorithmsleast mean logarithmic square algorithm

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Related Items (5)

Sparsity-aware normalized subband adaptive filters with jointly optimized parameters ⋮ Variational Bayesian adaptation of process noise covariance matrix in Kalman filtering ⋮ Parameter identification of conservative Hamiltonian systems using first integrals ⋮ Behavior of the LMS algorithm with hyperbolic secant cost ⋮ Robust non-negative least mean square algorithm based on step-size scaler against impulsive noise

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