A second-order statistics method for blind source separation in post-nonlinear mixtures-Reference-Cited by-同舟云学术

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A second-order statistics method for blind source separation in post-nonlinear mixtures

Published:2019-02 Issue: Volume:155 Page:63-72
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Fantinato Denis G.^ORCID,Duarte Leonardo T.,Deville Yannick,Attux Romis,Jutten Christian,Neves Aline

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

European Research Council

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference22 articles.

1. Handbook of Blind Source Separation: Independent Component Analysis and Applications;Comon,2010

2. Unsupervised Signal Processing: Channel Equalization and Source Separation;Romano,2010

3. Blind source separation and blind mixture identification methods;Deville,2016

4. Independent Component Analysis;Hyvärinen,2001

5. Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures;Jutten;Int. J. Neural Syst.,2004

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