Flexible Parametrization of Postnonlinear Mixtures Model in Blind Sources Separation

Autor:	Dinh-Tuan Pham
Rok vydání:	2004
Předmět:	Statistics::Theory Mathematical optimization Estimation theory Applied Mathematics Mixture model Blind signal separation Nonlinear system Spline (mathematics) Signal Processing Statistics::Methodology Applied mathematics Electrical and Electronic Engineering Parametrization Mathematics Quantile
Zdroj:	IEEE Signal Processing Letters. 11:533-536
ISSN:	1070-9908
Popis:	This letter introduces a flexible parametrization for the nonlinear compensator in the postnonlinear mixture model. The idea is to parametrize not the compensator but a set of quantiles of the distribution of its output. They are specified by the density-quantiles which are parametrized through a spline basis. Good results can be achieved with only a few splines.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::16a71bf5f5d5473fd526503121899193 https://doi.org/10.1109/lsp.2004.826662 Zobrazit plný text záznamu