Nicolas Le Bihan

According to our database, Nicolas Le Bihan authored at least 60 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Quaternions in Signal and Image Processing: A comprehensive and objective overview.

Sebastian Miron, Julien Flamant, Nicolas Le Bihan, Pierre Chainais, David Brie

IEEE Signal Process. Mag., September, 2023

An Optimal Linear Fusion Estimation Algorithm of Reduced Dimension for T-Proper Systems with Multiple Packet Dropouts.

Rosa M. Fernández-Alcalá, José D. Jiménez-López, Nicolas Le Bihan, Clive Cheong Took

Sensors, 2023

Polarized Signal Singular Spectrum Analysis with Complex SSA.

Sébastien Journé, Nicolas Le Bihan, Florent Chatelain, Julien Flamant

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Fast and Accurate Gravitational-Wave Modelling with Principal Component Regression.

Cyril Cano, Éric Chassande-Mottin, Nicolas Le Bihan

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering.

Romain Couillet, Florent Chatelain, Nicolas Le Bihan

Proceedings of the 38th International Conference on Machine Learning, 2021

From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds.

Salem Said, Nicolas Le Bihan, Jonathan H. Manton

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2020

Performance-Complexity Trade-Off in Large Dimensional Statistics.

Tayeb Zarrouk, Romain Couillet, Florent Chatelain, Nicolas Le Bihan

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

An optimisation geometry framework for the Rayleigh quotient.

Jeanne Lefevre, Jonathan H. Manton, Nicolas Le Bihan

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Complexity and Similarity for Sequences using LZ77-based conditional information measure.

François Cayre, Nicolas Le Bihan

Proceedings of the IEEE International Symposium on Information Theory, 2019

Estimation of Widely Factorizable Hypercomplex Signals with Uncertain Observations.

Rosa M. Fernández-Alcalá, José D. Jiménez-López, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina, Nicolas Le Bihan

Proceedings of the IEEE International Conference on Acoustics, 2019

Exact Distribution and High-dimensional Asymptotics for Improperness Test of Complex Signals.

Florent Chatelain, Nicolas Le Bihan

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Complete Framework for Linear Filtering of Bivariate Signals.

Julien Flamant, Pierre Chainais, Nicolas Le Bihan

IEEE Trans. Signal Process., 2018

A Geometrical Study of the Bivariate Fractional Gaussian Noise.

Jeanne Lefevre, Nicolas Le Bihan, Pierre-Olivier Amblard

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Linear Filtering of Bivariate Signals Using Quaternions.

Julien Flamant, Pierre Chainais, Nicolas Le Bihan

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Non-parametric characterization of gravitational-wave polarizations.

Julien Flamant, Pierre Chainais, Éric Chassande-Mottin, Fangchen Feng, Nicolas Le Bihan

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Spectral Analysis of Stationary Random Bivariate Signals.

Julien Flamant, Nicolas Le Bihan, Pierre Chainais

IEEE Trans. Signal Process., 2017

The geometry of proper quaternion random variables.

Nicolas Le Bihan

Signal Process., 2017

Foreword to the special issue "Hypercomplex Signal Processing".

Nicolas Le Bihan

Signal Process., 2017

On some global topological aspects of manifold learning.

Jonathan H. Manton, Nicolas Le Bihan

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Polarization spectrogram of bivariate signals.

Julien Flamant, Pierre Chainais, Nicolas Le Bihan

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices.

Salem Said, Nicolas Le Bihan, Jonathan H. Manton

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Density Estimation for Compound Cox Processes on Hyperspheres.

Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Clustering and causality inference using algorithmic complexity.

Marion Revolle, François Cayre, Nicolas Le Bihan

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Isotropic Multiple Scattering Processes on Hyperspheres.

Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton

IEEE Trans. Inf. Theory, 2016

Filtering from observations on Stiefel manifolds.

Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton

Signal Process., 2016

SALZA: Soft algorithmic complexity estimates for clustering and causality inference.

Marion Revolle, François Cayre, Nicolas Le Bihan

CoRR, 2016

Low-resolution reconstruction of intensity functions on the sphere for single-particle diffraction imaging.

Julien Flamand, Nicolas Le Bihan, Andrew V. Martin, Jonathan H. Manton

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Parameter estimation for multiple scattering process on the sphere.

Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

C. elegans locomotion analysis using algorithmic information theory.

Roghieh Skandari, Nicolas Le Bihan, Jonathan H. Manton

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Instantaneous frequency and amplitude of orthocomplex modulated signals based on quaternion Fourier transform.

Nicolas Le Bihan, Stephen J. Sangwine, Todd A. Ell

Signal Process., 2014

Monte-carlo estimation from observation on stiefel manifold.

Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Introduction to the issue on differential geometry in signal processing.

Jonathan H. Manton, David Applebaum, Shiro Ikeda, Nicolas Le Bihan

IEEE J. Sel. Top. Signal Process., 2013

Von Mises-Fisher approximation of multiple scattering process on the hypersphere.

Florent Chatelain, Nicolas Le Bihan

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Multicomponent Signal Processing for Rayleigh Wave Ellipticity Estimation : Application to Seismic Hazard Assessment.

Manuel Hobiger, Nicolas Le Bihan, Cécile Cornou, Pierre-Yves Bard

IEEE Signal Process. Mag., 2012

Wiener filtering of rotation processes using ordered exponential.

Jérémie Boulanger, Nicolas Le Bihan, Jonathan H. Manton

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011

Blind extraction of improper quaternion sources.

Soroush Javidi, Clive Cheong Took, Cyrus Jahanchahi, Nicolas Le Bihan, Danilo P. Mandic

Proceedings of the IEEE International Conference on Acoustics, 2011

Contributions au traitement des signaux à valeurs sur des structures algébriques non-commutatives.

Nicolas Le Bihan

, 2011

2010

Decompounding on compact lie groups.

Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton

IEEE Trans. Inf. Theory, 2010

Quaternion polynomial matrix diagonalization for the separation of polarized convolutive mixture.

Giovanni M. Menanno, Nicolas Le Bihan

Signal Process., 2010

2009

Nonparametric estimation for compound poisson processes on compact Lie groups.

Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton

Proceedings of the IEEE International Conference on Acoustics, 2009

Rayleigh wave ellipticity estimation from ambient seismic noise using single and multiple vector-sensor techniques.

Manuel Hobiger, Nicolas Le Bihan, Cécile Cornou, Pierre-Yves Bard

Proceedings of the 17th European Signal Processing Conference, 2009

2008

Fast Complexified Quaternion Fourier Transform.

Salem Said, Nicolas Le Bihan, Stephen J. Sangwine

IEEE Trans. Signal Process., 2008

Polarized Signal Classification by Complex and quaternionic Multi-Layer Perceptrons.

Sven Buchholz, Nicolas Le Bihan

Int. J. Neural Syst., 2008

The ℍ-analytic signal.

Nicolas Le Bihan, Stephen J. Sangwine

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

MUSIC Algorithm for Vector-Sensors Array Using Biquaternions.

Nicolas Le Bihan, Sebastian Miron, Jérôme I. Mars

IEEE Trans. Signal Process., 2007

Jacobi method for quaternion matrix singular value decomposition.

Nicolas Le Bihan, Stephen J. Sangwine

Appl. Math. Comput., 2007

Hypercomplex analytic signals : Extension of the analytic signal concept to complex signals.

Stephen J. Sangwine, Nicolas Le Bihan

Proceedings of the 15th European Signal Processing Conference, 2007

Exact Principal Geodesic Analysis for data on SO(3).

Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine

Proceedings of the 15th European Signal Processing Conference, 2007

2006

Quaternion-MUSIC for vector-sensor array processing.

Sebastian Miron, Nicolas Le Bihan, Jérôme I. Mars

IEEE Trans. Signal Process., 2006

Quaternion singular value decomposition based on bidiagonalization to a real or complex matrix using quaternion Householder transformations.

Stephen J. Sangwine, Nicolas Le Bihan

Appl. Math. Comput., 2006

High Resolution Vector-Sensor Array Processing Based on Biquaternions.

Sebastian Miron, Nicolas Le Bihan, Jérôme I. Mars

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Optimal separation of polarized signals by quaternionic neural networks.

Sven Buchholz, Nicolas Le Bihan

Proceedings of the 14th European Signal Processing Conference, 2006

2005

Vector-Sensor MUSIC for Polarized Seismic Sources Localization.

Sebastian Miron, Nicolas Le Bihan, Jérôme I. Mars

EURASIP J. Adv. Signal Process., 2005

2004

Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing.

Nicolas Le Bihan, Jérôme I. Mars

Signal Process., 2004

Three-mode data set analysis using higher order subspace method: application to sonar and seismo-acoustic signal processing.

Nicolas Le Bihan, Guillaume Ginolhac

Signal Process., 2004

Polarized source characterization using vector-music.

Sebastian Miron, Nicolas Le Bihan, Jérôme I. Mars

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Quaternion principal component analysis of color images.

Nicolas Le Bihan, Stephen J. Sangwine

Proceedings of the 2003 International Conference on Image Processing, 2003

Color image watermarking using quaternion Fourier transform.

Patrick Bas, Nicolas Le Bihan, Jean-Marc Chassery

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Quaternion subspace method for vector-sensor wave separation.

Nicolas Le Bihan, Jérôme I. Mars

Proceedings of the 11th European Signal Processing Conference, 2002

2000

Blind wave separation using vector-sensors.

Nicolas Le Bihan, Jérôme I. Mars

Proceedings of the IEEE International Conference on Acoustics, 2000