Nicolas LE BIHAN

Nicolas LE BIHAN

Nicolas LE BIHAN

Chercheur Titulaire

Responsable de Pôle GAIA

Membre de Gaia-bureau

Titulaire d'une HDR obtenue en 2011

Personnel CNRS Permanent
Multivariate statistical signal processing, statistics on groups and manifolds, polarized signals analysis

Site Ampère

Bureau : B377

Téléphone : 04 76 82 62 61

Biographie

(à compléter)

Publications / Travaux


115 documents

Articles dans une revue39 documents

  • Florent Bouchard, Nils Laurent, Salem Said, Nicolas Le Bihan. Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds. IEEE Signal Processing Letters, 2025, 32, pp.1950-1954. ⟨10.1109/LSP.2025.3562735⟩. ⟨hal-04905602v2⟩
  • Sebastian Miron, Julien Flamant, Nicolas Le Bihan, Pierre Chainais, David Brie. Quaternions in signal and image processing: A comprehensive and objective overview. IEEE Signal Processing Magazine, 2023, 40 (6), pp.26-40. ⟨10.1109/MSP.2023.3278071⟩. ⟨hal-04199725⟩
  • Julien Bonnel, Julien Flamant, David Dall’Osto, Nicolas Le Bihan, Peter Dahl. Polarization of ocean acoustic normal modes. Journal of the Acoustical Society of America, 2021, 150 (3), pp.1897-1911. ⟨10.1121/10.0006108⟩. ⟨hal-03349663⟩
  • Salem Said, Nicolas Le Bihan, Jonathan Manton. Hidden Markov chains and fields with observations in Riemannian manifolds. IFAC-PapersOnLine, 2021, 54 (9), pp.719-724. ⟨10.1016/j.ifacol.2021.06.135⟩. ⟨hal-03376388⟩
  • Jeanne Lefevre, Florent Bouchard, Salem Said, Nicolas Le Bihan, Jonathan H Manton. On Riemannian and non-Riemannian Optimisation, and Optimisation Geometry. IFAC-PapersOnLine, 2021, 54 (9), pp.578-583. ⟨10.1016/j.ifacol.2021.06.119⟩. ⟨hal-03376397⟩
  • Léo Bosse, Jean Lilensten, Nicolas Gillet, Sylvain Rochat, Alain Delboulbé, et al.. On the nightglow polarisation for space weather exploration. Journal of Space Weather and Space Climate, 2020, 10 (2020), pp.35. ⟨10.1051/swsc/2020036⟩. ⟨hal-02909104⟩
  • Julien Flamant, Nicolas Le Bihan, Pierre Chainais. Time-frequency analysis of bivariate signals. Applied and Computational Harmonic Analysis, 2019, 46 (2), pp.351-383. ⟨10.1016/j.acha.2017.05.007⟩. ⟨hal-01362586⟩
  • Julien Flamant, Pierre Chainais, Nicolas Le Bihan. A Complete Framework for Linear Filtering of Bivariate Signals. IEEE Transactions on Signal Processing, 2018, 66 (17), pp.4541-4552. ⟨10.1109/TSP.2018.2855659⟩. ⟨hal-02017824⟩
  • Julien Flamant, Nicolas Le Bihan, Pierre Chainais. Spectral analysis of stationary random bivariate signals. IEEE Transactions on Signal Processing, 2017, 65 (23), pp.6135-6145. ⟨10.1109/TSP.2017.2736494⟩. ⟨hal-01655097⟩
  • Nicolas Le Bihan. The geometry of proper quaternion random variables. Signal Processing, 2017, 138, pp.106-116. ⟨10.1016/j.sigpro.2017.03.017⟩. ⟨hal-01550207⟩
  • Nicolas Le Bihan, Florent Chatelain, Jonathan Manton. Isotropic Multiple Scattering Processes on Hyperspheres. IEEE Transactions on Information Theory, 2016, 62 (10), pp.5740-5752. ⟨10.1109/TIT.2015.2508932⟩. ⟨hal-01322340⟩
  • Nicolas Le Bihan, Julien Flamant, Jonathan Manton. Density Estimation on the rotation group using Diffusive wavelets. Journal of Advances in Information Fusion, 2016, 11 (2), pp.173-185. ⟨hal-01550211⟩
  • Manuel Hobiger, Cecile Cornou, Pierre Yves Bard, Nicolas Le Bihan, Walter Imperatori. Analysis of seismic waves crossing the Santa Clara Valley using the three-component MUSIQUE array algorithm. Geophysical Journal International, 2016, 27 (1), pp.439-456. ⟨10.1093/gji/ggw289⟩. ⟨hal-01550304⟩
  • Julien Flamant, Nicolas Le Bihan, Andrew V Martin, Jonathan Manton. Expansion-Maximization-Compression algorithm with spherical harmonics for single particle imaging with X-ray lasers. Physical Review E , 2016, 93, pp.053302. ⟨10.1103/PhysRevE.93.053302⟩. ⟨hal-01550230⟩
  • Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton. Filtering from Observations on Stiefel Manifolds. Signal Processing, 2015, 122, pp.52-64. ⟨10.1016/j.sigpro.2015.11.012⟩. ⟨hal-01240547⟩
  • Nicolas Le Bihan, Stephen Sangwine, Todd Ell. Instantaneous frequency and amplitude of orthocomplex modulated signals based on quaternion Fourier transform. Signal Processing, 2014, 94 (January), pp.308-318. ⟨10.1016/j.sigpro.2013.06.028⟩. ⟨hal-00939866⟩
  • Jérémie Boulanger, Nicolas Le Bihan, Vincent Rossetto. Stochastic description of geometric phase for polarized waves in random media. Journal of Physics A: Mathematical and Theoretical, 2013, 46, pp.035203. ⟨10.1088/1751-8113/46/3/035203⟩. ⟨hal-01075284⟩
  • Jean-François Coeurjolly, Nicolas Le Bihan. Geodesic Normal distribution on the circle. Metrika, 2012, 75 (7), pp.977-995. ⟨10.1007/s00184-011-0363-7⟩. ⟨hal-00548828v2⟩
  • Jérémie Boulanger, Nicolas Le Bihan, Stefan Catheline, Vincent Rossetto. Observation of a non-adiabatic geometric phase for elastic waves. Annals of Physics, 2012, 327 (3), pp.952-958. ⟨10.1016/j.aop.2011.11.014⟩. ⟨hal-00665640⟩
  • Manuel Hobiger, Nicolas Le Bihan, Cécile Cornou, Pierre-Yves Bard. Multicomponent signal processing for Rayleigh wave ellipticity estimation : application to seismic hazard assessment. IEEE Signal Processing Magazine, 2012, 29 (3), pp.29-39. ⟨10.1109/MSP.2012.2184969⟩. ⟨hal-00787723⟩
  • Jérémie Boulanger, Nicolas Le Bihan, Stefan Catheline, Vincent Rossetto. Non-adiabatic geometric phase of elastic waves. Journal of the Acoustical Society of America, 2011, 130 (4), pp.2514. ⟨10.1121/1.3655020⟩. ⟨insu-00679432⟩
  • Stephen Sangwine, Todd Ell, Nicolas Le Bihan. Fundamental representations and algebraic properties of biquaternions or complexified quaternions. Advances in Applied Clifford Algebras, 2011, 21 (3), pp.607-636. ⟨10.1007/s00006-010-0263-3⟩. ⟨hal-00788240⟩
  • Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan Manton. Decompounding on compact Lie groups. IEEE Transactions on Information Theory, 2010, 56 (6), pp.2766-2777. ⟨10.1109/TIT.2010.2046216⟩. ⟨hal-00515688⟩
  • Stephen Sangwine, Nicolas Le Bihan. Quaternion Polar Representation with a Complex Modulus and Complex Argument Inspired by the Cayley-Dickson Form. Advances in Applied Clifford Algebras, 2010, 20 (1), pp.111-120. ⟨10.1007/s00006-008-0128-1⟩. ⟨hal-00515650⟩
  • Giovanni M. Menanno, Nicolas Le Bihan. Quaternion polynomial matrix diagonalization for the separation of polarized convolutive mixture. Signal Processing, 2010, 90 (7), pp.1229-1337. ⟨10.1016/j.sigpro.2010.02.003⟩. ⟨hal-00515653⟩
  • Manuel Hobiger, Pierre-Yves Bard, Cécile Cornou, Nicolas Le Bihan. Single station determination of Rayleigh wave ellipticity by using the random decrement technique (RayDec). Geophysical Research Letters, 2009, 36, pp.L14303. ⟨10.1029/2009GL038863⟩. ⟨hal-00413407⟩
  • Nicolas Le Bihan, Ludovic Margerin. Nonparametric estimation of the heterogeneity of a random medium using Compound Poisson Process modeling of wave multiple scattering. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics [2001-2015], 2009, 80 (1), pp.016601. ⟨10.1103/PhysRevE.80.016601⟩. ⟨hal-00367815⟩
  • Salem Said, Nicolas Le Bihan. Higher-order statistics of Stokes parameters in a random birefringent medium. Waves in Random and Complex Media, 2008, 18 (2), pp.275-292. ⟨10.1080/17455030701762636⟩. ⟨hal-00276731⟩
  • Sven Buchholz, Nicolas Le Bihan. Polarized signal classification by complex and quaternionic multi-layer perceptrons. International Journal of Neural Systems, 2008, 18 (2), pp.75-85. ⟨10.1142/S0129065708001403⟩. ⟨hal-00276964⟩
  • Salem Said, Nicolas Le Bihan, Stephen Sangwine. Fast Complexified Quaternion Fourier Transform. IEEE Transactions on Signal Processing, 2008, 56 (4), pp.1522-1531. ⟨10.1109/TSP.2007.910477⟩. ⟨hal-00268009⟩
  • Nicolas Le Bihan, Sebastian Miron, Jerome I. Mars. MUSIC Algorithm for Vector-Sensors Array Using Biquaternions. IEEE Transactions on Signal Processing, 2007, 55 (9), pp.4523-4533. ⟨10.1109/TSP.2007.896067⟩. ⟨hal-00170946⟩
  • Nicolas Le Bihan, Stephen Sangwine. Jacobi Method For Quaternion Matrix Singular Value Decomposition. Applied Mathematics and Computation, 2007, 187 (2), pp.1265-1271. ⟨10.1016/j.amc.2006.09.055⟩. ⟨hal-00201795⟩
  • Valeriu Vrabie, Nicolas Le Bihan, Jerome I. Mars. Multicomponent wave separation using HOSVD-Unimodal ICA subspace Method. Geophysics, 2006, 71 (5), pp.133-143. ⟨10.1190/1.2335387⟩. ⟨hal-00257951⟩
  • Steve Sangwine, Nicolas Le Bihan. Quaternion Singular Value Decomposition based on Bidiagonalization to a Real or Complex Matrix using Quaternion Householder Transformations. Applied Mathematics and Computation, 2006, 182 (1), pp.727-738. ⟨10.1016/j.amc.2006.04.032⟩. ⟨hal-00125823⟩
  • Valeriu Vrabie, Nicolas Le Bihan, Jerome I. Mars. Multicomponent wave separation using HOSVD – unimodal ICA subspace method. Geophysics, 2006, 71, n°5, pp.V133-V143. ⟨hal-00096525⟩
  • Sébastian Miron, Nicolas Le Bihan, Jerome I. Mars. Quaternion-MUSIC for vector-sensor array processing. IEEE Transactions on Signal Processing, 2006, 54, pp.1218-1229. ⟨10.1109/TSP.2006.870630⟩. ⟨hal-00067992⟩
  • Sebastian Miron, Nicolas Le Bihan, Jerome I. Mars. Vector-Sensor MUSIC for Polarized Seismic Sources Localization. Eurasip Journal on Applied Signal Processing, 2005, 1, pp 74-84. ⟨10.1155/ASP.2005.74⟩. ⟨hal-00257974⟩
  • Nicolas Le Bihan, Jerome I. Mars. Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing. Signal Processing, 2004, 84 (7), pp 1177-1199. ⟨10.1016/j.sigpro.2004.04.001⟩. ⟨hal-00257964⟩
  • Nicolas Le Bihan, Guillaume Ginolhac. Three-Mode Dataset Analysis Using Higher Order Subspace Method. Application to Sonar and Seismo-acoustic Signal Processing. Signal Processing, 2004, 84 (5), pp.919-942. ⟨halshs-00158685⟩

Communications dans un congrès70 documents

  • Jalal Jouidi, Pierre Granjon, Florent Chatelain, Nicolas Le Bihan. Tracking in-plane waves on surfaces via analytic signal demodulation. EUSIPCO 2026 – 34th European Signal Processing Conference, Aug 2026, Bruges, Belgium. ⟨hal-05651743⟩
  • Jalal Jouidi, Pierre Granjon, Florent Chatelain, Nicolas Le Bihan. Suivi des ondes membranaires via le signal analytique 2D. GRETSI 2025 – XXXème Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strasbourg, France. ⟨hal-05396233⟩
  • Philippe Flores, Julien Flamant, Pierre-Olivier Amblard, Nicolas Le Bihan. Décomposition de signaux bivariés en somme d’ellipses amorties. GRETSI 2025 – XXXème Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strasboug, France. ⟨hal-05142554⟩
  • Philippe Flores, Julien Flamant, Pierre-Olivier Amblard, Nicolas Le Bihan. Damped ellipse decomposition for bivariate signals. SSP 2025 – 2025 IEEE Statistical Signal Processing Workshop, Yoann Altmann; Mike Davies, Jun 2025, Edimbourg, United Kingdom. ⟨hal-05113406⟩
  • Nicolas Le Bihan, Julien Flamant, Pierre-Olivier Amblard. The geometric phase of bivariate signals. EUSIPCO 2024 – 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨hal-04691994⟩
  • Nicolas Le Bihan, Julien Flamant, Pierre-Olivier Amblard. Modèles physiques à deux états pour les signaux bivariés : modulation de polarisation et phase géométrique. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. ⟨hal-04194522⟩
  • Julien Flamant, Pierre-Olivier Amblard, Nicolas Le Bihan. Modèles physiques à deux états pour les signaux bivariés : un système d’oscillateurs harmoniques couplés. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. ⟨hal-04194520⟩
  • Florent Chatelain, Julien Flamant, Nicolas Le Bihan. Algorithme proximal efficace pour l’approximation Hankel rang faible. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1073-1076. ⟨hal-04217832⟩
  • Cyril Cano, Nicolas Le Bihan, Eric Chassande-Mottin. Contrainte de polarisation pour la reconstruction d’ondes gravitationnelles. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. ⟨hal-04217821⟩
  • François Cayre, Nicolas Le Bihan, Isabelle Sivignon. Une implantation de la théorie de l’information. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. ⟨hal-04256174⟩
  • Nils Laurent, Florent Bouchard, Salem Said, Nicolas Le Bihan. Estimation de barycentres sur variétés de Stiefel : une approche par projection. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. ⟨hal-04228051⟩
  • Sébastien Journé, Nicolas Le Bihan, Florent Chatelain, Julien Flamant. Polarized signal singular spectrum analysis with complex SSA. ICASSP 2023 – IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10095954⟩. ⟨hal-04104834⟩
  • Julien Flamant, Julien Bonnel, Nicolas Le Bihan. Polarisation des modes en acoustique sous-marine. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-03726813⟩
  • Romain Couillet, Florent Chatelain, Nicolas Le Bihan. Compromis performance-complexité pour les statistiques en grande dimension. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. pp.621-624. ⟨hal-03868290⟩
  • Roza Cherfi, Christophe Prieur, Nicolas Le Bihan. Estimation de position en intérieur: une approche basée sur l’anti-développement et le filtre de Kalman étendu. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. pp.ID783. ⟨hal-03868304⟩
  • Cyril Cano, Éric Chassande-Mottin, Nicolas Le Bihan. Modèles polarisés pour la simulation rapide de formes d’ondes gravitationnelles. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨10.7935/GT1W-⟩. ⟨hal-03868307⟩
  • Cyril Cano, Eric Chassande-Mottin, Nicolas Le Bihan. Fast and accurate gravitational-wave modelling with principal component regression. EUSIPCO 2022 – 30th European Signal Processing Conference, Aug 2022, Belgrade, Serbia. ⟨10.23919/EUSIPCO55093.2022.9909752⟩. ⟨hal-03868278⟩
  • Romain Couillet, Florent Chatelain, Nicolas Le Bihan. Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. PMLR 2021 – 38th International Conference on Machine Learning, Jul 2021, Virtual, United States. pp.2156-2165. ⟨hal-03376365⟩
  • Jeanne Lefevre, Jonathan H Manton, Nicolas Le Bihan. An optimisation geometry framework for the Rayleigh quotient. EUSIPCO 2020 – 28th European Signal Processing Conference, Jan 2021, Amsterdam, Netherlands. pp.955-959, ⟨10.23919/Eusipco47968.2020.9287217⟩. ⟨hal-03376426⟩
  • Tayeb Zarrouk, Romain Couillet, Florent Chatelain, Nicolas Le Bihan. Performance-Complexity Trade-Off in Large Dimensional Statistics. MLSP 2020 – IEEE 30th International Workshop on Machine Learning for Signal Processing, Sep 2020, Espoo (virtual), Finland. ⟨10.1109/MLSP49062.2020.9231568⟩. ⟨hal-02961057⟩
  • Fangchen Feng, Julien Flamant, Pierre Chainais, Eric Chassande-Mottin, Nicolas Le Bihan. Reconstruction et caractérisation des polarisations d’une onde gravitationnelle. GRETSI 2019 – XXVIIème Colloque Francophone de Traitement du Signal et des Images, Aug 2019, Lille, France. ⟨hal-02410728⟩
  • Jialun Zhou, Nicolas Le Bihan, Salem Said. Recursive algorithm for estimation of mixture models on Riemannian symmetric space. GRETSI 2019 – XXVIIème Colloque Francophone de Traitement du Signal et des Images, Aug 2019, Lille, France. ⟨hal-02927638⟩
  • François Cayre, Nicolas Le Bihan. Complexity and Similarity for Sequences using LZ77-based conditional information measure. ISIT 2019 – IEEE International Symposium on Information Theory, Jul 2019, Paris, France. pp.2454-2458, ⟨10.1109/ISIT.2019.8849610⟩. ⟨hal-02346520⟩
  • Florent Chatelain, Nicolas Le Bihan. Exact Distribution and High-dimensional Asymptotics for Improperness Test of Complex Signals. ICASSP 2019 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.8509-8513, ⟨10.1109/ICASSP.2019.8683518⟩. ⟨hal-02148428⟩
  • R. Fernandez-Alcala, J. Jimenez-Lepez, J. Navarro-Moreno, J. Ruiz-Molina, Nicolas Le Bihan. Estimation of Widely Factorizable Hypercomplex Signals with Uncertain Observations. ICASSP 2019 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.8504-8508, ⟨10.1109/ICASSP.2019.8683146⟩. ⟨hal-02346547⟩
  • Julien Flamant, Pierre Chainais, Eric Chassande-Mottin, Fangchen Feng, Nicolas Le Bihan. Non-parametric characterization of gravitational-wave polarizations. EUSIPCO 2018 – 26th European Signal Processing Conference, Sep 2018, Rome, Italy. pp.2658-2662, ⟨10.23919/EUSIPCO.2018.8552942⟩. ⟨hal-02017827⟩
  • Julien Flamant, Pierre Chainais, Nicolas Le Bihan. Linear Filtering of Bivariate Signals Using Quaternions. SSP 2018 – 2018 IEEE Workshop on Statistical Signal Processing, Jun 2018, Fribourg en Brisgau, Germany. pp.154-158, ⟨10.1109/SSP.2018.8450687⟩. ⟨hal-02017832⟩
  • Jeanne Lefevre, Nicolas Le Bihan, Pierre-Olivier Amblard. A Geometrical Study of the Bivariate Fractional Gaussian Noise. SSP 2018 – 2018 IEEE Workshop on Statistical Signal Processing, Jun 2018, Fribourg-en-Brisgau, Germany. pp.144-148, ⟨10.1109/SSP.2018.8450737⟩. ⟨hal-02017837⟩
  • Salem Said, Nicolas Le Bihan, Jonathan Manton. Riemannian Gaussian distributions on the space of positive-definite quaternion matrices. GSI 2017 – Geometric Science of Information, Nov 2017, Paris, France. ⟨hal-01655168⟩
  • Florent Chatelain, Nicolas Le Bihan, Jonathan Manton. Density estimation for compound Cox processes on hyperspheres. GSI 2017 – Geometric Science of Information, Nov 2017, Paris, France. ⟨hal-01655180⟩
  • Jonathan Manton, Nicolas Le Bihan. On some global aspects of manifold learning. ICIP 2017 – 24th IEEE International Conference on Image Processing, Sep 2017, Beijing, China. pp.225-229, ⟨10.1109/ICIP.2017.8296276⟩. ⟨hal-01655138⟩
  • Julien Flamant, Nicolas Le Bihan, Pierre Chainais. Spectrogramme de polarisation pour l’analyse des signaux bivariés. GRETSI 2017 – XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France. ⟨hal-01691276⟩
  • Julien Flamant, Nicolas Le Bihan, Pierre Chainais. Analyse spectrale des signaux aléatoires bivariés. GRETSI 2017 – XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France. ⟨hal-01691274⟩
  • Marion Revolle, François Cayre, Nicolas Le Bihan. Clustering and causality inference using algorithmic complexity. EUSIPCO 2017 – 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨hal-01655109⟩
  • Julien Flamant, Pierre Chainais, Nicolas Le Bihan. Polarization spectrogram of bivariate signals. ICASSP 2017 – IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Mar 2017, New Orleans, United States. ⟨10.1109/ICASSP.2017.7952905⟩. ⟨hal-01655120⟩
  • Julien Flamant, Nicolas Le Bihan, Andrew V Martin, Jonathan Manton. Low-Resolution reconstruction of intensity functions on the sphere for single-particle diffraction imaging. ICASSP 2016 – 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. ⟨hal-01655131⟩
  • Rogieh Skandari, Nicolas Le Bihan, Jonathan Manton. C. Elegans locomotion analysis using algorithmic information theory. EMBC 2015 – 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2015, Milan, Italy. ⟨10.1109/EMBC.2015.7319878⟩. ⟨hal-01655148⟩
  • Florent Chatelain, Nicolas Le Bihan, Jonathan Manton. Parameter estimation for multiple scattering process on the sphere. ICASSP 2015 – 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2015, Brisbane, Australia. ⟨hal-01655153⟩
  • Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan Manton. Monte-Carlo estimation from observation on Stiefel manifold. ICASSP 2014 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. ⟨hal-01655158⟩
  • Florent Chatelain, Nicolas Le Bihan. von Mises-Fisher approximation of multiple scattering process on the hypersphere. ICASSP 2013 – 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. ⟨hal-00865968⟩
  • Jérémie Boulanger, Nicolas Le Bihan, Jonathan Manton. Wiener filtering of rotation processes using ordered exponentials. SSP 2012 – 2012 IEEE Workshop on Statistical Signal Processing, Aug 2012, Ann Arbor, Michigan, United States. pp.61-64. ⟨hal-00788246⟩
  • Nicolas Le Bihan, Todd Ell. Quaternion Wigner-Ville distribution. AGACSE 2012 – 5th conference on Applied Geometric Algebras in Computer Science and Engineering, Jul 2012, La Rochelle, France. pp.39. ⟨hal-00788244⟩
  • Nicolas Le Bihan, Jérémie Boulanger, Vincent Rossetto. Phase géométrique des signaux polarisés en milieux aléatoires. GRETSI 2011 – XXIIIème Colloque francophone de traitement du signal et des images, Sep 2011, Bordeaux, France. pp.214. ⟨hal-00682584⟩
  • Nicolas Le Bihan, Stephen Sangwine. Quaternionic spectral analysis of non-stationary improper complex signals. ICCA 2011 – 9th International Conference on Clifford algebras and Applications, Jul 2011, Weirmar, Germany. pp.135. ⟨hal-00682588⟩
  • Manuel Hobiger, Nicolas Le Bihan, Cécile Cornou, Pierre-Yves Bard. MUSIQUE: A Quaternion-Based Array Processing Technique for Surface Wave Polarization Analysis. SSP 2011 – 2011 IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France. pp.5-8, ⟨10.1109/SSP.2011.5967770⟩. ⟨hal-00682579⟩
  • Soroush Javidi, Clive Cheong Took, Cyrus Jahanchahi, Nicolas Le Bihan, Danilo Mandic. Blind extraction of improper quaternion sources. ICASSP 2011 – IEEE International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.3708 – 3711. ⟨hal-00682578⟩
  • Nicolas Le Bihan, Ludovic Margerin, Salem Said. Inférence statistique sur la fonction de phase des milieux aléatoires par diffusion multiple des ondes. GRETSI 2009 – XXIIème Colloque francophone de traitement du signal et des images, Sep 2009, Dijon, France. pp.318. ⟨hal-00404220⟩
  • Manuel Hobiger, Nicolas Le Bihan, Cécile Cornou, Pierre-Yves Bard. Rayleigh wave ellipticity estimation from ambient seismic noise using single and multiple vector-sensor techniques. EUSIPCO 2009 – 17th European Signal Processing Conference, Aug 2009, Glasgow, United Kingdom. pp.1569190656. ⟨hal-00404212⟩
  • Salem Said, Nicolas Le Bihan, Stephen Sangwine. A stability approach to the analysis of rotation time series. SYSID 2009 – 15th IFAC Symposium on System Identification, Jul 2009, Saint-Malo, France. pp.190, ⟨10.3182/20090706-3-FR-2004.00241⟩. ⟨hal-00367820⟩
  • Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan Manton. Nonparametric estimation for compound Poisson processes on compact Lie groups. ICASSP 2009 – IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2009, Taipei, Taiwan. pp.1793, ⟨10.1109/ICASSP.2009.4960357⟩. ⟨hal-00406006⟩
  • Salem Said, Christian Lageman, Nicolas Le Bihan, Ludovic Margerin, Jonathan Manton. Decompounding on compact Lie groups. IMA Conference on Mathematics in Signal, Dec 2008, Cirencester, United Kingdom. ⟨hal-00337673⟩
  • Nicolas Le Bihan, Stephen Sangwine. About the extension of the 1D analytic signal to improper complex valued signals. IMA Conference on Mathematics in Signal Processing, Dec 2008, Cirencester, United Kingdom. ⟨hal-00337677⟩
  • Salem Said, Nicolas Le Bihan. A functional approach to signal processing under nonlinear constraints. IMA Conference on Mathematics in Signal Processing, Dec 2008, Cirencester, United Kingdom. ⟨hal-00337680⟩
  • Nicolas Le Bihan, Stephen Sangwine. The H-analytic signal. EUSIPCO 2008 – 16th European Signal Processing Conference, Aug 2008, Lausanne, Switzerland. pp.P8-1. ⟨hal-00337657⟩
  • Nicolas Le Bihan, Stephen Sangwine. Hypercomplex analytic signals : extension of the analytic signal concept to complex signals. EUSIPCO 2007 – 15th European Signal Processing Conference, Sep 2007, Poznan, Poland. pp.A5P-H-8376. ⟨hal-00170947⟩
  • Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine. Exact Principal Geodesic Analysis for Data on SO(3). EUSIPCO 2007 – 15th European Signal Processing Conference, Sep 2007, Poznan, Poland. pp.1700-1705. ⟨hal-00494170⟩
  • Salem Said, Nicolas Le Bihan, Jonathan Manton. Neyman-Pearson detection on SU(2): an application to polarized signals. PSIP 2007 – Fifth International Symposium on Physics in Signal and Image Processing, Jan 2007, Mulhouse, France. ⟨hal-00138166⟩
  • Jerome I. Mars, Nicolas Le Bihan, Valeriu Vrabie, Caroline Paulus. Multicomponent seismic data filtering by multilinear methods. IEEE International Symposium on Communication Control and Signal Processing, ISCCSP’06, Mar 2006, Marrakech, Morocco. ⟨hal-00101686⟩
  • Nicolas Le Bihan, Pierre-Olivier Amblard. Detection and Estimation of Gaussian Proper Quaternion Valued Random Processes. IMA Conference on Mathematics in Signal Processing, 2006, United Kingdom. ⟨hal-00096539⟩
  • Nicolas Le Bihan, Steve Sangwine. Computing the SVD of a quaternion matrix. 7th IMA Conference on Mathematics in Signal Processing, 2006, United Kingdom. ⟨hal-00096572⟩
  • Nicolas Le Bihan, Sven Buchholz. Quaternionic independent component analysis using hypercomplex nonlinearities. 7th IMA Conference on Mathematics in Signal Processing, Cirencester, 2006, United Kingdom. ⟨hal-00096553⟩
  • Nicolas Le Bihan, Sven Buchholz. Optimal Separation of Polarized Signals by Quaternionic Neural Networks. XIV European Signal Processing Conference (EUSIPCO), 2006, Florence, Italy. ⟨hal-00068010⟩
  • Sébastian Miron, Nicolas Le Bihan, Jerome I. Mars. High resolution vector-sensor array processing based on biquaternions. IEEE International Conference on Acoustics speech and signal processing (ICASSP), 2006, Toulouse, France. ⟨hal-00067993⟩
  • Olivier Chadebec, Viet Phuong Bui, Pierre Granjon, Laure-Line Rouve, Nicolas Le Bihan, et al.. Rotor fault detection of electrical machines by low frequency magnetic stray field analysis. SDEMPED 2005, Sep 2005, Vienne, Austria. ⟨hal-00185279⟩
  • Sébastian Miron, Nicolas Le Bihan, Jerome I. Mars. High resolution vector-sensor array processing using quaternions. IEEE Workshop on Statistical Signal Processing (SSP), 2005, Bordeaux, France. ⟨hal-00068001⟩
  • Nicolas Le Bihan. Diagonalisation de matrices polynomiales quaternioniques : application à la séparation de mélanges convolutifs d’ondes polarisées. 19ème colloque GRETSI sur le Traitement du Signal et des Images, GRETSI 2005, 2005, Louvain la neuve, Belgique. ⟨hal-00067997⟩
  • Sébastian Miron, Nicolas Le Bihan, Jerome I. Mars. Etude des performances du modele quaternionique en traitement d’antenne vectorielle. 19ème colloque GRETSI sur le Traitement du Signal et des Images, GRETSI 2005, 2005, Louvain la neuve, Belgique. ⟨hal-00067998⟩
  • Olivier Chadebec, Viet Phuong Bui, Pierre Granjon, Laure-Line Rouve, Nicolas Le Bihan, et al.. Rotor fault detection of electrical machines by low frequency magnetic stray field analysis. 6th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2005), 2005, Vienna, Austria. ⟨hal-00021533⟩
  • Patrick Bas, Nicolas Le Bihan, Jean-Marc Chassery. Color Image Watermarking Using Quaternion Fourier Transform. ICASSP, Sep 2003, Hong Khong, Hong Kong SAR China. pp.CD-rom. ⟨hal-00166554⟩
  • Patrick Bas, Nicolas Le Bihan, Jean-Marc Chassery. Color Image Watermarking Using Quaternion Fourier Transform. ICASSP, Sep 2003, Hong Khong, Hong Kong SAR China. pp.CD-rom. ⟨hal-00166555⟩

Ouvrages (y compris édition critique et traduction)1 document

  • Todd Ell, Nicolas Le Bihan, Stephen Sangwine. Quaternion Fourier Transforms for Signal and Image Processing. Wiley-ISTE, pp.160, 2014, 978-1-84821-478-1. ⟨hal-00987367⟩

Chapitres d’ouvrage2 documents

  • Salem Said, Nicolas Le Bihan, Jonathan Manton. From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. Nielsen F.(ed); Barbaresco F. (ed). Geometric Science of Information. GSI 2021, 12829, Springer International Publishing, pp.3-11, 2021, Lecture Notes in Computer Science, ISBN 978-3-030-80208-0. ⟨10.1007/978-3-030-80209-7_1⟩. ⟨hal-03376378⟩
  • Nicolas Le Bihan, Valeriu Vrabie, Jerome I. Mars. Multidimensional seismic data decomposition by higher order SVD and unimodal-ICA. Signal and Image Processing for remote sensing, C.H. Chen, CRC Press (Taylor and Francis books), pp.75-101, 2006. ⟨hal-00096453⟩

Pré-publications, Documents de travail2 documents

  • Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton. Asymptotic regime for impropriety tests of complex random vectors. 2020. ⟨hal-03011919⟩
  • François Cayre, Marion Revolle, Isabelle Sivignon, Nicolas Le Bihan. SALZA: Practical Algorithmic Information Theory and Sharper Universal String Similarity. 2020. ⟨hal-03010529⟩

Habilitations à diriger des recherches1 document

  • Nicolas Le Bihan. Contributions au traitement des signaux à valeurs sur des structures algébriques non-commutatives. Traitement du signal et de l’image [eess.SP]. Université de Grenoble, 2011. ⟨tel-00606665⟩

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