Blind wave separation using vector-sensors. - Nicolas Le Bihan; Jérôme I. Mars (ICASSP, 2000)

Quaternion subspace method for vector-sensor wave separation. - Nicolas Le Bihan; Jérôme I. Mars (EUSIPCO, 2002)

Color image watermarking using quaternion Fourier transform. - Patrick Bas; Nicolas Le Bihan; Jean-Marc Chassery (ICASSP (3), 2003)

Quaternion principal component analysis of color images. - Nicolas Le Bihan; Stephen J. Sangwine (ICIP (1), 2003)

Polarized source characterization using vector-music. - Sebastian Miron; Nicolas Le Bihan; Jérôme I. Mars (EUSIPCO, 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)

Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing. - Nicolas Le Bihan; Jérôme I. Mars (Signal Process., 2004)

Vector-Sensor MUSIC for Polarized Seismic Sources Localization. - Sebastian Miron; Nicolas Le Bihan; Jérôme I. Mars (EURASIP J. Adv. Signal Process., 2005)

Optimal separation of polarized signals by quaternionic neural networks. - Sven Buchholz 001; Nicolas Le Bihan (EUSIPCO, 2006)

High Resolution Vector-Sensor Array Processing Based on Biquaternions. - Sebastian Miron; Nicolas Le Bihan; Jérôme I. Mars (ICASSP (4), 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)

Quaternion-MUSIC for vector-sensor array processing. - Sebastian Miron; Nicolas Le Bihan; Jérôme I. Mars (IEEE Trans. Signal Process., 2006)

Exact Principal Geodesic Analysis for data on SO(3). - Salem Said; Nicolas Courty; Nicolas Le Bihan; Stephen J. Sangwine (EUSIPCO, 2007)

Hypercomplex analytic signals : Extension of the analytic signal concept to complex signals. - Stephen J. Sangwine; Nicolas Le Bihan (EUSIPCO, 2007)

Jacobi method for quaternion matrix singular value decomposition. - Nicolas Le Bihan; Stephen J. Sangwine (Appl. Math. Comput., 2007)

MUSIC Algorithm for Vector-Sensors Array Using Biquaternions. - Nicolas Le Bihan; Sebastian Miron; Jérôme I. Mars (IEEE Trans. Signal Process., 2007)

The ℍ-analytic signal. - Nicolas Le Bihan; Stephen J. Sangwine (EUSIPCO, 2008)

Polarized Signal Classification by Complex and quaternionic Multi-Layer Perceptrons. - Sven Buchholz 001; Nicolas Le Bihan (Int. J. Neural Syst., 2008)

Fast Complexified Quaternion Fourier Transform. - Salem Said; Nicolas Le Bihan; Stephen J. Sangwine (IEEE Trans. Signal Process., 2008)

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 (EUSIPCO, 2009)

Nonparametric estimation for compound poisson processes on compact Lie groups. - Salem Said; Nicolas Le Bihan; Christian Lageman; Jonathan H. Manton (ICASSP, 2009)

Quaternion polynomial matrix diagonalization for the separation of polarized convolutive mixture. - Giovanni M. Menanno; Nicolas Le Bihan (Signal Process., 2010)

Decompounding on compact lie groups. - Salem Said; Christian Lageman; Nicolas Le Bihan; Jonathan H. Manton (IEEE Trans. Inf. Theory, 2010)

Contributions au traitement des signaux à valeurs sur des structures algébriques non-commutatives. - Nicolas Le Bihan (2011)

Blind extraction of improper quaternion sources. - Soroush Javidi; Clive Cheong Took; Cyrus Jahanchahi; Nicolas Le Bihan; Danilo P. Mandic (ICASSP, 2011)

Wiener filtering of rotation processes using ordered exponential. - Jérémie Boulanger; Nicolas Le Bihan; Jonathan H. Manton (SSP, 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)

Von Mises-Fisher approximation of multiple scattering process on the hypersphere. - Florent Chatelain; Nicolas Le Bihan (ICASSP, 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)

Monte-carlo estimation from observation on stiefel manifold. - Jérémie Boulanger; Nicolas Le Bihan; Salem Said; Jonathan H. Manton (ICASSP, 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)

C. elegans locomotion analysis using algorithmic information theory. - Roghieh Skandari; Nicolas Le Bihan; Jonathan H. Manton (EMBC, 2015)

Parameter estimation for multiple scattering process on the sphere. - Florent Chatelain; Nicolas Le Bihan; Jonathan H. Manton (ICASSP, 2015)

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 (ICASSP, 2016)

SALZA: Soft algorithmic complexity estimates for clustering and causality inference. - Marion Revolle; François Cayre; Nicolas Le Bihan (CoRR, 2016)

Filtering from observations on Stiefel manifolds. - Jérémie Boulanger; Salem Said; Nicolas Le Bihan; Jonathan H. Manton (Signal Process., 2016)

Isotropic Multiple Scattering Processes on Hyperspheres. - Nicolas Le Bihan; Florent Chatelain; Jonathan H. Manton (IEEE Trans. Inf. Theory, 2016)

Clustering and causality inference using algorithmic complexity. - Marion Revolle; François Cayre; Nicolas Le Bihan (EUSIPCO, 2017)

Density Estimation for Compound Cox Processes on Hyperspheres. - Florent Chatelain; Nicolas Le Bihan; Jonathan H. Manton (GSI, 2017)

Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. - Salem Said; Nicolas Le Bihan; Jonathan H. Manton (GSI, 2017)

Polarization spectrogram of bivariate signals. - Julien Flamant; Pierre Chainais; Nicolas Le Bihan (ICASSP, 2017)

On some global topological aspects of manifold learning. - Jonathan H. Manton; Nicolas Le Bihan (ICIP, 2017)

Foreword to the special issue "Hypercomplex Signal Processing". - Nicolas Le Bihan (Signal Process., 2017)

The geometry of proper quaternion random variables. - Nicolas Le Bihan (Signal Process., 2017)

Spectral Analysis of Stationary Random Bivariate Signals. - Julien Flamant; Nicolas Le Bihan; Pierre Chainais (IEEE Trans. Signal Process., 2017)

Non-parametric characterization of gravitational-wave polarizations. - Julien Flamant; Pierre Chainais; Éric Chassande-Mottin; Fangchen Feng; Nicolas Le Bihan (EUSIPCO, 2018)

Linear Filtering of Bivariate Signals Using Quaternions. - Julien Flamant; Pierre Chainais; Nicolas Le Bihan (SSP, 2018)

A Geometrical Study of the Bivariate Fractional Gaussian Noise. - Jeanne Lefevre; Nicolas Le Bihan; Pierre-Olivier Amblard (SSP, 2018)

A Complete Framework for Linear Filtering of Bivariate Signals. - Julien Flamant; Pierre Chainais; Nicolas Le Bihan (IEEE Trans. Signal Process., 2018)

Exact Distribution and High-dimensional Asymptotics for Improperness Test of Complex Signals. - Florent Chatelain; Nicolas Le Bihan (ICASSP, 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 (ICASSP, 2019)

Complexity and Similarity for Sequences using LZ77-based conditional information measure. - François Cayre; Nicolas Le Bihan (ISIT, 2019)

An optimisation geometry framework for the Rayleigh quotient. - Jeanne Lefevre; Jonathan H. Manton; Nicolas Le Bihan (EUSIPCO, 2020)

Performance-Complexity Trade-Off in Large Dimensional Statistics. - Tayeb Zarrouk; Romain Couillet; Florent Chatelain; Nicolas Le Bihan (MLSP, 2020)

From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. - Salem Said; Nicolas Le Bihan; Jonathan H. Manton (GSI, 2021)

Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. - Romain Couillet; Florent Chatelain; Nicolas Le Bihan (ICML, 2021)

Fast and Accurate Gravitational-Wave Modelling with Principal Component Regression. - Cyril Cano; Éric Chassande-Mottin; Nicolas Le Bihan (EUSIPCO, 2022)

Polarized Signal Singular Spectrum Analysis with Complex SSA. - Sébastien Journé; Nicolas Le Bihan; Florent Chatelain; Julien Flamant (ICASSP, 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)

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., 2023)

The Geometric Phase of Bivariate Signals. - Nicolas Le Bihan; Julien Flamant; Pierre-Olivier Amblard (EUSIPCO, 2024)

Damped ellipse decomposition for bivariate signals. - Philippe Flores; Julien Flamant; Pierre-Olivier Amblard; Nicolas Le Bihan (SSP, 2025)

Beyond $R$-Barycenters: An Effective Averaging Method on Stiefel and Grassmann Manifolds. - Florent Bouchard; Nils Laurent; Salem Said; Nicolas Le Bihan (IEEE Signal Process. Lett., 2025)