Nicolas LE BIHAN
Directeur de Recherche CNRS
Equipe Communication and Information in Complex Systems
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : nicolas.le-bihan@gipsa-lab.grenoble-inp.fr

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

Bureau D1118
Tél.33 (0)4 76 82 62 61
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Non-parametric characterization of gravitational-wave polarizations

Julien Flamant, Pierre Chainais, Eric Chassande-Mottin, Fangchen Feng, Nicolas Le Bihan. Non-parametric characterization of gravitational-wave polarizations. 26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy. IEEE, pp.2658-2662. 〈hal-02017827〉

A Complete Framework for Linear Filtering of Bivariate Signals

Julien Flamant, Pierre Chainais, Nicolas Le Bihan. A Complete Framework for Linear Filtering of Bivariate Signals. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2018, 66 (17), pp.4541-4552. 〈hal-02017824〉

A Geometrical Study of the Bivariate Fractional Gaussian Noise

Jeanne Lefevre, Nicolas Le Bihan, Pierre-Olivier Amblard. A Geometrical Study of the Bivariate Fractional Gaussian Noise. 2018 IEEE Statistical Signal Processing Workshop (SSP), Jun 2018, Freiburg, Germany. IEEE, pp.144-148. 〈hal-02017837〉

Linear Filtering of Bivariate Signals Using Quaternions

Julien Flamant, Pierre Chainais, Nicolas Le Bihan. Linear Filtering of Bivariate Signals Using Quaternions. 2018 IEEE Statistical Signal Processing Workshop (SSP), Jun 2018, Freiburg im Breisgau, Germany. IEEE, pp.154-158. 〈hal-02017832〉

Spectral analysis of stationary random bivariate signals

Julien Flamant, Nicolas Le Bihan, Pierre Chainais. Spectral analysis of stationary random bivariate signals. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (23), pp.6135-6145. 〈http://ieeexplore.ieee.org/document/8003393/〉. 〈10.1109/TSP.2017.2736494〉. 〈hal-01655097〉

Density estimation for compound Cox processes on hyperspheres

Florent Chatelain, Nicolas Le Bihan, Jonathan Manton. Density estimation for compound Cox processes on hyperspheres. Geometric Science of Information (GSI 2017), Nov 2017, Paris, France. 〈hal-01655180〉

Riemannian Gaussian distributions on the space of positive-definite quaternion matrices

Salem Said, Nicolas Le Bihan, Jonathan Manton. Riemannian Gaussian distributions on the space of positive-definite quaternion matrices. Geometric Science of Information (GSI 2017), Nov 2017, Paris, France. 〈hal-01655168〉

On some global aspects of manifold learning

Jonathan Manton, Nicolas Le Bihan. On some global aspects of manifold learning. 24th IEEE International Conference on Image Processing (ICIP 2017), Sep 2017, Beijing, China. 〈hal-01655138〉

On some global topological aspects of manifold learning

Jonathan Manton, Nicolas Le Bihan. On some global topological aspects of manifold learning. 24th IEEE International Conference on Image Processing (ICIP 2017), Sep 2017, Beijing, China. IEEE, 62 (10), pp.225-229, 2016. 〈hal-02018768〉

Analyse spectrale des signaux aléatoires bivariés

Julien Flamant, Nicolas Le Bihan, Pierre Chainais. Analyse spectrale des signaux aléatoires bivariés. GRETSI, Sep 2017, Juan-les-Pins, France. 〈hal-01691274〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED
Prénom NOM Date d'entrée en thèse Sujet Ecole doctorale
LEFEVRE Jeanne01/10/2017Traitement Geometrique de signaux multivaries en reseauxEEATS

Grenoble Images Parole Signal Automatique laboratoire

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