Correntropy: Implications of nonGaussianity for the moment expansion and deconvolution

DOI10.1016/j.sigpro.2010.09.004zbMath1217.94084OpenAlexW2047277875MaRDI QIDQ551619

Yong-Cai Geng, Sumit K. Garg

Publication date: 21 July 2011

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

Full work available at URL: http://hdl.handle.net/10044/1/6853

zbMATH Keywords

blind deconvolutionsub-Gaussian distributioncorrentropysuper-Gaussian distribution

Mathematics Subject Classification ID

Measures of information, entropy (94A17)

Related Items (1)

Generalized sub-Gaussian fractional Brownian motion queueing model

Cites Work

• A unifying criterion for instantaneous blind source separation based on correntropy
• The correntropy MACE filter
• Correntropy as a novel measure for nonlinearity tests
• Propriétés locales des fonctions à séries de Fourier aléatoires
• An Analysis of Unsupervised Signal Processing Methods in the Context of Correlated Sources
• Generation of a random sequence having a jointly specified marginal distribution and autocovariance
• Robust identification of a nonminimum phase system: Blind adjustment of a linear equalizer in data communications
• Correntropy: Properties and Applications in Non-Gaussian Signal Processing
• Generalized correlation function: definition, properties, and application to blind equalization
• Linear processes are nearly Gaussian
• Some Properties of the Range in Samples from Tukey's Symmetric Lambda Distributions
• Narrow-band systems and Gaussianity
• Sub-Gaussian random variables
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Correntropy: Implications of nonGaussianity for the moment expansion and deconvolution