A general zero attraction proportionate normalized maximum correntropy criterion algorithm for sparse system identification

DOI10.3390/sym9100229zbMath1423.93094OpenAlexW2761105421MaRDI QIDQ2333427

Jingshan Jiang, Felix Albu, Yingsong Li, Yan-yan Wang

Publication date: 13 November 2019

Published in: Symmetry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/sym9100229

zbMATH Keywords

adaptive filterimpulsive noisezero attractingnormalized least mean square (NLMS)normalized maximum correntropy criterionproportionate NLMS (PNLMS)

Mathematics Subject Classification ID

System identification (93B30) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

The maximum correntropy criterion-based robust hierarchical estimation algorithm for linear parameter-varying systems with non-Gaussian noise ⋮ Robust augmented complex-valued normalized M-estimate subband adaptive filtering algorithm against colored non-circular inputs and impulsive noise ⋮ Block-sparsity regularized maximum correntropy criterion for structured-sparse system identification

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