Rafael ANDO
Doctorant UGA
Equipe Vision and Brain Signal Processing
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : rafael.ando@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1146
Tél.33 (0)4 76 82 71 34
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Nonlinear Blind Source Separation for Chemical Sensor Arrays Based on a Polynomial Representation

Rafael Ando, Christian Jutten, Bertrand Rivet, Romis Attux, Leonardo Duarte. Nonlinear Blind Source Separation for Chemical Sensor Arrays Based on a Polynomial Representation. 24th European Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary. 〈hal-01400550〉

A Blind Source Separation Method for Chemical Sensor Arrays based on a Second-order mixing model

Rafael Assato Ando, Leonardo Tomazeli Duarte, Christian Jutten, Romis Attux. A Blind Source Separation Method for Chemical Sensor Arrays based on a Second-order mixing model. 23rd European Signal Processing Conference (EUSIPCO-2015), Aug 2015, Nice, France. 〈http://www.eusipco2015.org/〉. 〈hal-01216127〉

Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation

David Felice, Rafael Ando, Leonardo Tomazeli Duarte, Christian Jutten, R Attux. Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation. 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Aug 2015, Liberec, Czech Republic. 2015, 〈http://amca.cz/lva2015/〉. 〈10.1007/978-3-319-22482-4_36〉. 〈hal-01216141〉

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures

Leonardo Tomazeli Duarte, Rafael Ando, Romis Attux, Yannick Deville, Christian Jutten. Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures. Fabian Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky. 10th International Conference on Latent Variable Analysis and Source Separation (LVA/ICA 2012), Mar 2012, Tel-Aviv, Israel. Springer, LNCS 7191, pp.239-246, 2012, Lecture Notes in Computer Science. 〈hal-00687408〉

SUJET DE THESE / PhD THESIS

Avances sur la séparation de sources pour les modèles non linéaires et les applications aux capteurs chimiques

Date d'entrée en thèse 01/10/2014

Directeur de thèse :     Christian JUTTEN

Co-encadrant :     Bertrand RIVET

Directeur de thèse extérieur     Romis ATTUX

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal