Spectral estimation methods avoiding eigenvector decomposition. - Thierry Pitarque; Gérard Alengrin; André Ferrari (ICASSP, 1990)

Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics. - André Ferrari; Gérard Alengrin (ICASSP, 1991)

A new state space algorithm for computing the frequencies of sinusoids in white noise. - Thierry Pitarque; Gérard Alengrin; André Ferrari; Jean Menez (Signal Process., 1991)

Estimation of the fundamental frequency of a noisy sum of cisoids with harmonic related frequencies. - André Ferrari; Gérard Alengrin; Céline Theys (ICASSP, 1992)

Improvements of a state-space iterative noise reduction algorithm for harmonic retrieval. - André Ferrari; Gérard Alengrin; Thierry Pitarque (IEEE Trans. Signal Process., 1992)

Overdetermined noise compensation without eigendecomposition for frequency estimation. - Christophe Bérenguer; Céline Theys; André Ferrari; Gérard Alengrin (ICASSP (4), 1993)

High-order ergodicity of a complex harmonic process. - André Ferrari; Gérard Alengrin (IEEE Trans. Inf. Theory, 1994)

A parametric model for the quadratic sampling of a bandlimited signal. - André Ferrari; R. Lorion; Gérard Alengrin (ICASSP, 1995)

Stationary moments of a polynomial phase signal, application to parameter estimation. - André Ferrari; Céline Theys; Gérard Alengrin (EUSIPCO, 1996)

Detection and estimation of changes in a polynomial-phase signal using the DPPT. - Céline Theys; André Ferrari; Gérard Alengrin (EUSIPCO, 1996)

Polynomial-phase signal analysis using stationary moments. - André Ferrari; Céline Theys; Gérard Alengrin (Signal Process., 1996)

Spectral estimation of a Gaussian signal sampled with jitter. - André Ferrari; Jean-Yves Tourneret; Gérard Alengrin (ICASSP, 1997)

Bayesian estimation of the parameters of a polynomial phase signal using MCMC methods. - Céline Theys; Michelle Vieira; André Ferrari (ICASSP, 1997)

Detection of extra solar planets using parametric modeling. - André Ferrari; Jean-Yves Tourneret; François-Xavier Schmider (ICASSP, 1999)

Statistical analysis of a parametric model for photometric signals. - André Ferrari; Jean-Yves Tourneret (EUSIPCO, 2000)

Cramer-Rao lower bounds for abrupt change parameters in additive and multiplicative noise. - Jean-Yves Tourneret; André Ferrari (ICASSP, 2000)

Marginal Bayesian analysis of polynomial-phase signals. - Céline Theys; André Ferrari; Michelle Vieira (Signal Process., 2001)

Spectral modes estimation using Whittle-type criterion. Application to stellar speckle interferometry. - Y. Cavallin; André Ferrari; H. Lanteri (EUSIPCO, 2002)

Extension of Whittle likelihood to transient signal parameters estimation. Application to stellar speckle interferometry. - André Ferrari; Y. Cavallin (EUSIPCO, 2002)

Changepoint detection in multivariate Poisson distributions. - Jean-Yves Tourneret; André Ferrari; Gérard Letac (ICASSP, 2002)

Parametric modeling of photometric signals. - André Ferrari; Jean-Yves Tourneret; Gérard Alengrin (Signal Process., 2002)

Multivariate mixed poisson distributions. - André Ferrari; Gérard Letac; Jean-Yves Tourneret (EUSIPCO, 2004)

Detection performance for discrete test statistics. Application to low-flux imagery. - André Ferrari; Jean-Yves Tourneret (ICASSP (2), 2004)

Cramer-Rao lower bounds for change points in additive and multiplicative noise. - Jean-Yves Tourneret; André Ferrari; Ananthram Swami (Signal Process., 2004)

Parameter estimation for multivariate gamma distributions. - Florent Chatelain; Jean-Yves Tourneret; Jordi Inglada; André Ferrari (EUSIPCO, 2006)

Parameter Estimation for Multivariate Mixed Poisson Distributions. - Florent Chatelain; André Ferrari; Jean-Yves Tourneret (ICASSP (3), 2006)

Bivariate Gamma Distributions for Image Registration and Change Detection. - Florent Chatelain; Jean-Yves Tourneret; Jordi Inglada; André Ferrari (IEEE Trans. Image Process., 2007)

Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging. - Isabelle Smith; André Ferrari; Marcel Carbillet (ICASSP, 2008)

Detection from a multi-channel sensor using a hierarchical Bayesian model. - Isabelle Smith; André Ferrari (ICASSP, 2009)

Detection of a Moving Source in Speckle Noise. Application to Exoplanet Detection. - Isabelle Smith; André Ferrari; Marcel Carbillet (IEEE Trans. Signal Process., 2009)

Bayesian detection with the posterior distribution of the likelihood ratio. - Isabelle Smith; André Ferrari (EUSIPCO, 2010)

Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. - Cédric Richard; André Ferrari; Hassan Amoud; Paul Honeine; Patrick Flandrin; Pierre Borgnat (ICASSP, 2010)

PDR and LRMAP detection tests applied to massive hyperspectral data. - Silvia Paris; David Mary; André Ferrari (CAMSAP, 2011)

Sparsity-based composite detection tests. application to astrophysical hyperspectral data. - Silvia Paris; David Mary; André Ferrari; Sébastien Bourguignon (EUSIPCO, 2011)

Transitional surrogates. - Pierre Borgnat; Patrick Flandrin; André Ferrari; Cédric Richard (ICASSP, 2011)

Stationnarité relative et approches connexes. - Patrick Flandrin; Cédric Richard; Pierre-Olivier Amblard; Pierre Borgnat; Paul Honeine; Hassan Amoud; André Ferrari; Jun Xiao 002; Azadeh Moghtaderi; Pepa Ramírez-Cobo (Traitement du Signal, 2011)

Classification of multivariate data using Dirichlet process mixture models. - Petar M. Djuric; André Ferrari (ACSCC, 2012)

Adaptive inverse control using kernel identification. - Andrea Abelli; André Ferrari; Salvatore Monaco; Cédric Richard (ACC, 2012)

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. - Jie Chen 022; Cédric Richard; André Ferrari; Paul Honeine (ICASSP, 2013)

Models with products of Dirichlet processes. - Petar M. Djuric; André Ferrari (ICASSP, 2013)

Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data. - Silvia Paris; Raja Fazliza Raja Suleiman; David Mary; André Ferrari (ICASSP, 2013)

Minimax sparse detection based on one-class classifiers. - Raja Fazliza Raja Suleiman; David Mary; André Ferrari (ICASSP, 2013)

Detection Tests Using Sparse Models, With Application to Hyperspectral Data. - Silvia Paris; David Mary; André Ferrari (IEEE Trans. Signal Process., 2013)

Performance analysis of multitask diffusion adaptation over asynchronous networks. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (ACSSC, 2014)

Subspace learning in minimax detection. - Raja Fazliza Raja Suleiman; David Mary; André Ferrari (ICASSP, 2014)

Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument. - David Mary; André Ferrari; Silvia Paris (ICIP, 2014)

Distributed image reconstruction for very large arrays in radio astronomy. - André Ferrari; David Mary; Rémi Flamary; Cédric Richard (SAM, 2014)

A non-asymptotic standardization of binomial counts in Higher Criticism. - David Mary; André Ferrari (ISIT, 2014)

GLUP: Yet another algorithm for blind unmixing of hyperspectral data. - Rita Ammanouil; André Ferrari; Cédric Richard; David Mary (WHISPERS, 2014)

PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry. - Antony Schutz; André Ferrari; David Mary; Ferréol Soulez; Éric Thiébaut; Martin Vannier (CoRR, 2014)

Blind and Fully Constrained Unmixing of Hyperspectral Images. - Rita Ammanouil; André Ferrari; Cédric Richard; David Mary (IEEE Trans. Image Process., 2014)

Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios. - Raja Fazliza Raja Suleiman; David Mary; André Ferrari (IEEE Trans. Signal Process., 2014)

Large scale 3D image reconstruction in optical interferometry. - Antony Schutz; André Ferrari; David Mary; Éric Thiébaut; Ferréol Soulez (EUSIPCO, 2015)

A graph Laplacian regularization for hyperspectral data unmixing. - Rita Ammanouil; André Ferrari; Cédric Richard (ICASSP, 2015)

Multitask diffusion LMS with sparsity-based regularization. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (ICASSP, 2015)

Hyperspectral data unmixing with graph-based regularization. - Rita Ammanouil; André Ferrari; Cédric Richard (WHISPERS, 2015)

Distributed learning over multitask networks with linearly related tasks. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (ACSSC, 2016)

Distributed multi-frequency image reconstruction for radio-interferometry. - Jeremy Deguignet; André Ferrari; David Mary; Chiara Ferrari (EUSIPCO, 2016)

Fast and robust detection of a known pattern in an image. - Loïc Denis; André Ferrari; David Mary; Laurent M. Mugnier; Éric Thiébaut (EUSIPCO, 2016)

Unsupervised neighbor dependent nonlinear unmixing. - Rita Ammanouil; André Ferrari; Cédric Richard (ICASSP, 2016)

Diffusion LMS over multitask networks with noisy links. - Roula Nassif; Cédric Richard; Jie Chen 022; André Ferrari; Ali H. Sayed (ICASSP, 2016)

Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions. - Rita Ammanouil; André Ferrari; Cédric Richard; Jean-Yves Tourneret (SSP, 2016)

Multitask Diffusion Adaptation Over Asynchronous Networks. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (IEEE Trans. Signal Process., 2016)

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (IEEE Trans. Signal Process., 2016)

Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. - Rita Ammanouil; André Ferrari; Rémi Flamary; Chiara Ferrari; David Mary (EUSIPCO, 2017)

Distributed approach for deblurring large images with shift-variant blur. - Rahul Mourya; André Ferrari; Rémi Flamary; Pascal Bianchi; Cédric Richard (EUSIPCO, 2017)

Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions. - Rita Ammanouil; André Ferrari; Cédric Richard; Sandrine Mathieu (IEEE Trans. Image Process., 2017)

Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. - Roula Nassif; Cédric Richard; André Ferrari; Ali H. Sayed (IEEE Trans. Signal Process., 2017)

Bayesian Calibration Using Different Prior Distributions: An Iterative Maximum A Posteriori Approach for Radio Interferometers. - Virginie Ollier; Mohammed Nabil El Korso; André Ferrari; Rémy Boyer; Pascal Larzabal (EUSIPCO, 2018)

ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator. - Rita Ammanouil; André Ferrari; Cédric Richard (ICASSP, 2018)

Robust Calibration of Radio Interferometers in Multi-Frequency Scenario. - Virginie Ollier; Mohammed Nabil El Korso; André Ferrari; Rémy Boyer; Pascal Larzabal (ICASSP, 2018)

A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution. - Mickaël Seznec; Nicolas Gac; André Ferrari; François Orieux (SiPS, 2018)

Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation. - Ikram Bouchikhi; André Ferrari; Cédric Richard; Anthony Bourrier; Marc Bernot (SSP, 2018)

Robust distributed calibration of radio interferometers with direction dependent distortions. - Virginie Ollier; Mohammed Nabil El Korso; André Ferrari; Rémy Boyer; Pascal Larzabal (Signal Process., 2018)

Distribution strategies for very large 3D image deconvolution algorithms. - Celine Meillier; Rita Ammanouil; André Ferrari; Pascal Bianchi (Signal Process. Image Commun., 2018)

Distributed Change Detection in Streaming Graph Signals. - André Ferrari; Cédric Richard; Louis Verduci (CAMSAP, 2019)

Kernel Based Online Change Point Detection. - Ikram Bouchikhi; André Ferrari; Cédric Richard; Anthony Bourrier; Marc Bernot (EUSIPCO, 2019)

Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. - Rémi Flamary; Karim Lounici; André Ferrari (CoRR, 2019)

Online Graph-Based Change Point Detection in Multiband Image Sequences. - R. A. Borsoi; Cédric Richard; André Ferrari; Jie Chen 022; José Carlos M. Bermudez (EUSIPCO, 2020)

Non-parametric Community Change-points Detection in Streaming Graph Signals. - André Ferrari; Cédric Richard (ICASSP, 2020)

Software-Defined Radio Assessment for Microwave Imaging Breast Cancer Detection. - Dionisio Carvalho; Alexandre J. Aragão; André Ferrari; Bruno Sanches; Wilhelmus A. M. Van Noije (NorCAS, 2020)

Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing. - Martijn van den Ende; André Ferrari; Anthony Sladen; Cédric Richard (ACSCC, 2021)

Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing. - Yacine Khacef; Martijn van den Ende; André Ferrari; Cédric Richard; Anthony Sladen (IEEECONF, 2022)

Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis. - Martijn van den Ende; André Ferrari; Anthony Sladen; Cédric Richard (EUSIPCO, 2022)

DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs. - Xiuheng Wang; Ricardo Augusto Borsoi; Cédric Richard; André Ferrari (ACSSC, 2023)

Online change-point detection with kernels. - André Ferrari; Cédric Richard; Anthony Bourrier; Ikram Bouchikhi (Pattern Recognit., 2023)

Variance Stabilizing Transformations for Intensity Estimators of Shot Noise. - Thierry Montagu; André Ferrari (IEEE Signal Process. Lett., 2023)

Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data. - Martijn van den Ende; André Ferrari; Anthony Sladen; Cédric Richard (IEEE Trans. Intell. Transp. Syst., 2023)

A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data. - Martijn van den Ende; Itzhak Lior; Jean-Paul Ampuero; Anthony Sladen; André Ferrari; Cédric Richard (IEEE Trans. Neural Networks Learn. Syst., 2023)

Leveraging Distributed Acoustic Sensing for Vehicle Counting in High-Traffic-Density Environments. - Yacine Khacef; Cédric Richard; Charles Casimiro Cavalcante; André Ferrari (IEEECONF, 2024)

Shape measurement of radio galaxies using Equivariant CNNs. - Priyamvad Tripathi; Sunrise Wang; Simon Prunet; André Ferrari (EUSIPCO, 2024)

Precision Traffic Monitoring: Leveraging Distributed Acoustic Sensing and Deep Neural Networks. - Yacine Khacef; Martijn van den Ende; Cédric Richard; André Ferrari; Anthony Sladen (IEEE Trans. Intell. Transp. Syst., 2025)