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

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〉

On some global aspects of manifold learning

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

Polarization spectrogram of bivariate signals

Julien Flamant, Pierre Chainais, Nicolas Le Bihan. Polarization spectrogram of bivariate signals. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New-Orleans, United States. IEEE, 〈http://www.ieee-icassp2017.org〉. 〈10.1109/ICASSP.2017.7952905〉. 〈hal-01655120〉

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, paris, France. 〈hal-01655180〉

Clustering and causality inference using algorithmic complexity

Marion Revolle, François Cayre, Nicolas Le Bihan. Clustering and causality inference using algorithmic complexity. eusipco, 2017, kos, Greece. 〈hal-01655109〉

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, paris, France. 〈hal-01655168〉

The geometry of proper quaternion random variables

Nicolas Le Bihan. The geometry of proper quaternion random variables. Signal Processing, Elsevier, 2017, 138, pp.106-116. 〈hal-01550207〉

Time-frequency analysis of bivariate signals

Julien Flamant, Nicolas Le Bihan, Pierre Chainais. Time-frequency analysis of bivariate signals. Applied and Computational Harmonic Analysis, Elsevier, 2017, pp.In Press, Corrected Proof. 〈10.1016/j.acha.2017.05.007〉. 〈hal-01362586〉

Isotropic Multiple Scattering Processes on Hyperspheres

Nicolas Le Bihan, Florent Chatelain, Jonathan Manton. Isotropic Multiple Scattering Processes on Hyperspheres. IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2016, 62 (10), pp.5740-5752. 〈10.1109/TIT.2015.2508932〉. 〈hal-01322340〉

Analysis of seismic waves crossing the Santa Clara Valley using the three-component MUSIQUE array algorithm

Manuel Hobiger, Cecile Cornou, Pierre Yves Bard, Nicolas Le Bihan, Walter Imperaton. Analysis of seismic waves crossing the Santa Clara Valley using the three-component MUSIQUE array algorithm. Geophysical Journal International, Oxford University Press (OUP), 2016, 27 (1), pp.439-456. 〈10.1093/gji/ggw289〉. 〈hal-01550304〉

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