dc.creatorGuimarães, João P. F.
dc.creatorFontes, Aluisio I. R.
dc.creatorRego, Joilson Batista de Almeida
dc.creatorMartins, Allan de Medeiros
dc.creatorPrincipe, J.C.
dc.date2020-12-09T17:44:14Z
dc.date2020-12-09T17:44:14Z
dc.date2018-10-01
dc.identifierGUIMARÃES, João P.F.; FONTES, Aluisio I.R.; REGO, Joilson B.A.; MARTINS, Allan de M.; PRINCIPE, José C.. Complex correntropy function: properties, and application to a channel equalization problem. Expert Systems With Applications, [S.L.], v. 107, p. 173-181, out. 2018. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0957417418302501?via%3Dihub. Acesso em: 08 out. 2020. http://dx.doi.org/10.1016/j.eswa.2018.04.020.
dc.identifier0957-4174
dc.identifierhttps://repositorio.ufrn.br/handle/123456789/30942
dc.identifier10.1016/j.eswa.2018.04.020
dc.descriptionThe use of correntropy as a similarity measure has been increasing in dif ferent scenarios due to the well-known ability to extract high-order statistic information from data. Recently, a new similarity measure between complex random variables was defined and called complex correntropy. Based on a Gaussian kernel, it extends the benefits of correntropy to complex-valued data. However, its properties have not yet been formalized. This paper studies the properties of this new similarity measure and extends this defini tion to positive-definite kernels. Complex correntropy is applied to a channel equalization problem as good results are achieved when compared with other algorithms such as the complex least mean square (CLMS), complex recursive least squares (CRLS), and least absolute deviation (LAD)
dc.languageen
dc.publisherElsevier
dc.subjectChannel equalization
dc.subjectComplex-valued data
dc.subjectCorrentropy
dc.subjectFixed-point algorithm
dc.subjectMaximum complex correntropy criterion
dc.subjectProperties
dc.titleComplex correntropy function: properties, and application to a channel equalization problem
dc.typearticle


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