Pierre COMON
Directeur de Recherche CNRS
Equipe Communication and Information in Complex Systems
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : pierre.comon@gipsa-lab.grenoble-inp.fr

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

Bureau D1178
Tél.33 (0)4 76 82 62 71
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Wideband multiple diversity tensor array processing

Francesca Raimondi, Rodrigo Cabral Farias, Olivier Michel, Pierre Comon. Wideband multiple diversity tensor array processing. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (20), pp.5334-5346. 〈10.1109/TSP.2017.2725219〉. 〈hal-01350549v5〉

Performances optimales pour les données multimodales partiellement couplées

Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon. Performances optimales pour les données multimodales partiellement couplées. GRETSI, Sep 2017, Juan-Les-Pins, France. 2017, GRETSI. 〈www.gretsi.fr〉. 〈hal-01567124〉

A Novel Non-Iterative Algorithm for Low-Multilinear-Rank Tensor Approximation

José Henrique de Morais Goulart, Pierre Comon. A Novel Non-Iterative Algorithm for Low-Multilinear-Rank Tensor Approximation. 25th European Signal Conference (EUSIPCO), Aug 2017, Kos, Greece. Proceedings of the 25th European Signal Conference (EUSIPCO). 〈hal-01531231〉

Multidimensional ESPRIT for Damped and Undamped Signals: Algorithm, Computations and Perturbation Analysis

Souleymen Sahnoun, Konstantin Usevich, Pierre Comon. Multidimensional ESPRIT for Damped and Undamped Signals: Algorithm, Computations and Perturbation Analysis. Accepted version. 2017. 〈hal-01360438v3〉

Information-Estimation relationship in mismatched Gaussian channels

Saloua Chlaily, Chengfang Ren, Pierre-Olivier Amblard, Olivier Michel, Pierre Comon, et al.. Information-Estimation relationship in mismatched Gaussian channels. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, 24 (5), pp.688-692. 〈10.1109/LSP.2017.2687764〉. 〈hal-01493481〉

Tensor DoA Estimation with Directional Elements

Francesca Raimondi, Pierre Comon. Tensor DoA Estimation with Directional Elements. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2017, 24 (5), pp. 648 - 652. 〈http://ieeexplore.ieee.org.gaelnomade-1.grenet.fr/document/7883934/〉. 〈10.1109/LSP.2017.2685244〉. 〈hal-01369713v2〉

Non-iterative low-multilinear-rank tensor approximation with application to decomposition in rank-(1,L,L) terms

José Henrique De Morais Goulart, Pierre Comon. Non-iterative low-multilinear-rank tensor approximation with application to decomposition in rank-(1,L,L) terms. Submitted to SIAM Journal on Scientific Computing. 2017. 〈hal-01516167〉

Some theory on Non-negative Tucker Decomposition

Jérémy E. Cohen, Pierre Comon, Nicolas Gillis. Some theory on Non-negative Tucker Decomposition. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. 2017. 〈hal-01420297〉

High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation?

Konstantin Usevich, Souleymen Sahnoun, Pierre Comon. High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation?. Petr Tichavský, Massoud Babaie-Zadeh, Olivier J.J. 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.47-56, 2017, Latent Variable Analysis and Signal Separation 13th International Conference, LVA/ICA 20

A simultaneous sparse approximation method for multidimensional harmonic retrieval

Souleymen Sahnoun, El-Hadi Djermoune, David Brie, Pierre Comon. A simultaneous sparse approximation method for multidimensional harmonic retrieval. Signal Processing, Elsevier, 2017, 131, pp.36-48. 〈10.1016/j.sigpro.2016.07.029〉. 〈hal-01174780v2〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED
Prénom NOM Date d'entrée en thèse Sujet Ecole doctorale
JOUNI Mohamad01/10/2017Image analysis based on tensor representations EEATS
MAHO Pierre15/04/2017Analyse de données pour un capteur olfactif biomimétiqueEEATS

Grenoble Images Parole Signal Automatique laboratoire

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