A joint second-order statistics and density matching-based approach for separation of post-nonlinear mixtures

Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/350657

Type:	Artigo
Title:	A joint second-order statistics and density matching-based approach for separation of post-nonlinear mixtures
Author:	Fantinato, Denis G. Duarte, Leonardo T. Zanini, Paolo Rivet, Bertrand Attux, Romis Jutten, Christian
Abstract:	In the context of Post-Nonlinear (PNL) mixtures, source separation can be performed in a two-stage approach, which encompasses a nonlinear and a linear compensation part. In the former part, it is usually required the knowledge of all the source distribut
Subject:	Separação cega de fontes Blind source separation
Country:	Alemanha
Editor:	Springer
Rights:	fechado
Identifier DOI:	10.1007/978-3-319-53547-0_47
Address:	https://link.springer.com/chapter/10.1007/978-3-319-53547-0_47
Date Issue:	2017
Appears in Collections:	FEEC - Artigos e Outros Documentos FCA - Artigos e Outros Documentos

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