Correntropy as a novel measure for nonlinearity tests

DOI10.1016/j.sigpro.2008.07.005zbMath1151.94366OpenAlexW2123340494MaRDI QIDQ2377677

Jose C. Principe, Aysegul Gunduz

Publication date: 20 January 2009

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2008.07.005

zbMATH Keywords

kernel methodscorrentropynonlinearity testssurrogate methods

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (9)

Correntropy as a novel measure for nonlinearity tests ⋮ Synchronization regulation in a model of coupled neural masses ⋮ Square-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noise ⋮ A test of independence based on a generalized correlation function ⋮ Detecting nonlinearity in short and noisy time series using the permutation entropy ⋮ Inferring functional neural connectivity with phase synchronization analysis: a review of method\-ology ⋮ Analysis of a novel density matching criterion within the ITL framework for blind channel equalization ⋮ Correntropy: Implications of nonGaussianity for the moment expansion and deconvolution ⋮ Optimal learning with Gaussians and correntropy loss

Uses Software

• TISEAN

Cites Work

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