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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