Robust non-negative least mean square algorithm based on step-size scaler against impulsive noise

DOI10.1186/S13662-020-02654-5zbMath1482.94027OpenAlexW3030785636MaRDI QIDQ2078148

Haiyun Qiu, Kuangang Fan, Chunyang Pei, Yu-Hang Chen

Publication date: 25 February 2022

Published in: Advances in Difference Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13662-020-02654-5

zbMATH Keywords

impulsive noisenon-negativity constraintsleast mean square algorithmstep-size scaler

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Applications of mathematical programming (90C90) Least squares and related methods for stochastic control systems (93E24) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Stochastic learning and adaptive control (93E35)

Cites Work

• Robust least mean logarithmic square adaptive filtering algorithms
• Nonnegative Least-Mean-Square Algorithm
• Generalized Correntropy for Robust<?Pub _newline ?>Adaptive Filtering
• Stabilization of a Bias-Compensated Normalized Least-Mean-Square Algorithm for Noisy Inputs

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