Bahram EHSANDOUST
Doctorant UGA
Equipe Vision and Brain Signal Processing
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : bahram.ehsandoust@gipsa-lab.grenoble-inp.fr

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

Bureau D1185
Tél.33 (0)4 76 82 62 47
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Blind Source Separation in Nonlinear Mixtures: Separability and a Basic Algorithm

Bahram Ehsandoust, Massoud Babaie-Zadeh, Bertrand Rivet, Christian Jutten. Blind Source Separation in Nonlinear Mixtures: Separability and a Basic Algorithm. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (16), pp.4339 - 4352. <http://ieeexplore.ieee.org/abstract/document/7934069/>. <10.1109/TSP.2017.2708025>. <hal-01552273>

Blind compensation of polynomial mixtures of Gaussian signals with application in nonlinear blind source separation

Bahram Ehsandoust, Bertrand Rivet, Massoud Babaie-Zadeh, Christian Jutten. Blind compensation of polynomial mixtures of Gaussian signals with application in nonlinear blind source separation. Acoustics, Speech and Signal Processing (ICASSP) Conference, Mar 2017, NEW ORLEANS, United States. pp.4681 - 4685, 2017, Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on. <http://www.ieee-icassp2017.org>. <10.1109/ICASSP.2017.7953044>. <hal-01552278>

Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures

Denis Fantinato, Leonardo Duarte, Bertrand Rivet, Bahram Ehsandoust, Romis Attux, et al.. Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures. Petr Tichavsky; Massoud Babaie-Zadeh; Olivier Michel; Nadège Thirion-Moreau. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. Springer, Lecture Notes in Computer Science, 10169, pp.300 - 309, 2017, Latent Variable Analysis and Signal Separation 13th Interna

Relationships between nonlinear and space-variant linear models in hyperspectral image unmixing

Lucas Drumetz, Bahram Ehsandoust, Jocelyn Chanussot, Bertrand Rivet, Massoud Babaie-Zadeh, et al.. Relationships between nonlinear and space-variant linear models in hyperspectral image unmixing. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, pp.1 - 1. <10.1109/LSP.2017.2747478>. <hal-01581520>

Nonlinear Blind Source Separation for Sparse Sources

Bahram Ehsandoust, Bertrand Rivet, Christian Jutten, Massoud Babaie-Zadeh. Nonlinear Blind Source Separation for Sparse Sources. 24th European Signal Processing Conference (EUSIPCO 2016), Aug 2016, Budapest, Hungary. <hal-01400546>

Blind Source Separation in Nonlinear Mixture for Colored Sources Using Signal Derivatives

Bahram Ehsandoust, Masoud Babaie-Zadeh, Christian Jutten. Blind Source Separation in Nonlinear Mixture for Colored Sources Using Signal Derivatives. Vincent, E., Yeredor, A., Koldovský, Z., Tichavský, P. 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Aug 2015, Liberec, Czech Republic. Volume 9237 (9237), pp 193-200, 2015, Latent Variable Analysis and Signal Separation. <http://amca.cz/lva2015/>. <10.1007/978-3-319-22482-4_22>. <hal-

SUJET DE THESE / PhD THESIS

Séparation de Sources Dans des mélanges non linéaires

Date d'entrée en thèse 01/11/2014

Directeur de thèse :     Christian JUTTEN

Co-encadrant :     Bertrand RIVET

Grenoble Images Parole Signal Automatique laboratoire

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