publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. The Open-set Push-Pull Loss: A Revisit of Contrastive Learning for Open-set Supervised Anomaly Detection
    B. Amblard, S. El-Bouch, A. Ferrari, M. Dalla Mura, and C. Richard
    2026
    Submitted
  2. SMURFIT: Spatial‑frequency Multi‑class Radio Fourier Imaging Technique
    S. Wang, S. Prunet, S. Mignot, and A. Ferrari
    2026
    Submitted
  3. II. Source separation for radio weak-lensing measurements using deep learning
    P. Tripathi, S. Wang, S. Prunet, and A. Ferrari
    Astronomy and Astrophysics, 2026
  4. Solver-In-The-Loop Training with Multistep Inputs for Capturing Fine-Scale Turbulence
    A. Lam, H. Méheut, S. El-Bouch, and A. Ferrari
    In International Symposium AI and Fluid Mechanics, 2026
  5. Contrastive Learning for Open-Set Anomaly Detection of Radio Transients
    B. Amblard, S. El-Bouch, M. Dalla Mura, A. Ferrari, and C. Richard
    In European Signal Processing Conference (EUSIPCO), 2026
  6. Contrastive Learning for Open-Set Anomaly Detection of Radio Transients
    B. Amblard, S. El-Bouch, M. Dalla Mura, A. Ferrari, and C. Richard
    In European Signal Processing Conference (EUSIPCO), 2026
  7. Diffusion Models for Polarimetric Reconstruction of Circumstellar Environments in Correlated Speckle Noise
    Q. Villegas, L. Denneulin, S. Prunet, A. Ferrari, É Thiébaut, and M. Langlois
    In European Signal Processing Conference (EUSIPCO), 2026

2025

  1. A Decentralized Framework for Radio-Interferometric Image Reconstruction
    S. Wang, S. Mignot, S. Prunet, L. Di Mascolo, M. Spinelli, and A. Ferrari
    The Astronomical Journal, 2025
  2. DeepShape: Radio weak-lensing shear measurements using deep learning
    P. Tripathi, S. Wang, S. Prunet, and A. Ferrari
    Astronomy and Astrophysics, 2025
  3. Precision Traffic Monitoring: Leveraging Distributed Acoustic Sensing and Deep Neural Networks
    Y. Khacef, M. Ende, C. Richard, A. Ferrari, and A. Sladen
    IEEE ransactions on Intelligent Transportation Systems, 2025
  4. Multi-Head Architecture for Open-Set Anomaly Detection of Fast Radio Bursts
    B. Amblard, S. El-Bouch, M. Dalla Mura, A. Ferrari, and C. Richard
    In 2025 IEEE 10th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2025
  5. Modèles de diffusion pour la reconstruction polarimétrique d’environnements circumstellaires
    Q. Villegas, L. Denneulin, S. Prunet, A. Ferrari, N. Pustelnik, E. Thiébaut, J. Tachella, and M. Langlois
    In GRETSI, Sep 2025
  6. Détection des sursauts radio rapides (FRB) basée sur une architecture neuronale contrastive et générative
    B. Amblard, S. El-Bouch, M. Dalla Mura, A. Ferrari, and C. Richard
    In GRETSI, Sep 2025

2024

  1. Multi-lane vehicular traffic analysis facilitated by distributed acoustic sensing and deep learning
    M. Ende, A. Sladen, A. Ferrari, and C. Richard
    2024
    Submitted
  2. A new approach for the numerical calculation of diffraction patterns using starshades
    C. Aime, S. Prunet, C. Theys, A. Ferrari, and H. Lantéri
    Astronomy and Astrophysics, 2024
  3. Multi-Step Reconstruction of Radio-Interferometric Images
    S. Wang, S. Prunet, S. Mignot, and A. Ferrari
    Astronomy and Astrophysics, 2024
  4. Leveraging distributed acoustic sensing for vehicle counting in high-traffic-density environments
    Y. Khacef, C. Richard, C. Casimiro Cavalcante, and A. Ferrari
    In Signals, Systems and Computers (ASILOMAR), Nov 2024
  5. Computation of the Fresnel diffraction of Starshades based on a polygonal approximation
    S. Prunet, C. Aime, A. Ferrari, and C. Theys
    In SPIE Space Telescopes and Instrumentation, Jun 2024
  6. A comparison of solar and stellar coronagraphs that make use of external occulters
    C. Aime, C. Theys, S. Prunet, and A. Ferrari
    In SPIE Space Telescopes and Instrumentation, Jun 2024
  7. Shape measurement of radio galaxies using Equivariant CNNs
    P. Tripathi, S. Wang, S. Prunet, and A. Ferrari
    In European Signal Processing Conference (EUSIPCO), 2024
  8. From linear to nonlinear unfolded Condat-Vũ algorithm for spectro-polarimetric hight-constrast image recovery
    E. Chappon, N. Pustelnik, J. Tachella, L. Denneulin, A. Ferrari, and M. Langlois
    In European Signal Processing Conference (EUSIPCO), 2024

2023

  1. Variance Stabilizing Transformations for Intensity Estimators of Shot Noise
    T. Montagu and A. Ferrari
    IEEE Signal Processing Letters, 2023
  2. Online change-point detection with kernels
    A. Ferrari, C. Richard, A. Bourrier, and I. Bouchikhi
    Pattern Recognition, Jan 2023
  3. Détection de changements dans des signaux sur graphe à valeur dans des variétés riemanniennes
    X. Wang, R.A. Borsoi, C. Richard, and A. Ferrari
    In GRETSI, Sep 2023
  4. Distributed Change Point Detection in Streaming Manifold-valued Signals over Graphs
    X. Wang, R.A. Borsoi, C. Richard, and A. Ferrari
    In Signals, Systems and Computers (ASILOMAR), Oct 2023

2022

  1. Deep Deconvolution for Traffic Analysis with Distributed Acoustic Sensing Data
    M. Ende, A. Ferrari, A. Sladen, and C. Richard
    IEEE Transactions on Intelligent Transportation Systems, 2022
  2. A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing data
    M. Ende, I. Lior, J.-P. Ampuero, A. Sladen, A. Ferrari, and C. Richard
    IEEE Transactions on Neural Networks and Learning Systems, Dec 2022
  3. Variance Stabilizing Transformations for Intensity Estimators of Shot Noise
    T. Montagu and A. Ferrari
    IEEE Signal Processing Letters, 2022
    submitted
  4. Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing
    Y. Khacef, M Ende, A. Ferrari, C. Richard, and Anthony Sladen
    In Signals, Systems and Computers (ASILOMAR), Nov 2022
  5. Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis
    M. Ende, A. Ferrari, A. Sladen, and C. Richard
    In European Signal Processing Conference (EUSIPCO), Aug 2022
  6. Prototypage Rapide d’un Super-Calculateur Dédié à’ la Radiastronimie
    N. Gac, J.-F. Nezan, A. Ferrari, C. Ferrari, M. Quinson, and C. Viou
    2022

2021

  1. Dataflow Algorithm architecture co-design of SKA pipeline for Exascale Radio Astronomy
    D. Charlet, K. Desnos, M. Dardaillon, A. Ferrari, C. Ferrari, N. Gac, J.-F. Nezan, F. Orieux, S. Prunet, M. Quinson, F. Suter, C. Tasse, and C. Viou
    In ISC High Performance 2021 Digital, Jun 2021
  2. Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing
    M Ende, A. Ferrari, A. Sladen, and C.Richard
    In Signals, Systems and Computers (ASILOMAR), Nov 2021

2020

  1. Online Graph-Based Change Point Detection in Multiband Image Sequences
    R.A. Borsoi, C. Richard, A. Ferrari, J. Chen, and J.C.M. Bermudez
    In European Signal Processing Conference (EUSIPCO), Aug 2020
  2. Non-parametric community change-points detection in streaming graph signals
    A. Ferrari and C. Richard
    In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020

2019

  1. A parallel and automatically tuned algorithm for multispectral image deconvolution
    R. Ammanouil, A. Ferrari, D. Mary, C. Ferrari, and F. Loi
    Monthly Notices of the Royal Astronomical Society, Aug 2019
  2. Distributed change detection in streaming graph signals
    A. Ferrari, C. Richard, and L. Verducci
    In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2019
  3. Kernel based online change point detection
    I. Bouchikhi, A. Ferrari, C. Richard, A. Bourrier, and M. Bernot
    In European Signal Processing Conference (EUSIPCO), Sep 2019
  4. Performance Bound for Robust Array Calibration in Radio Interferometry
    A. Boudehane, R. Boyer, V. Ollier, M. El Korso, A. Ferrari, and P. Larzabal
    In GRETSI, Sep 2019

2018

  1. Robust distributed calibration of radio interferometers with direction dependent distortions
    V. Ollier, M. N. El Korso, A. Ferrari, R. Boyer, and P. Larzabal
    Signal Processing, Dec 2018
  2. Distribution strategies for very large 3D image deconvolution algorithms
    C. Meillier, R. Ammanouil, A. Ferrari, and P. Bianchi
    Signal Processing: Image Communication, Sep 2018
  3. Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation
    I. Bouchikhi, A. Ferrari, C. Richard, A. Bourrier, and M. Bernot
    In IEEE Statistical Signal Processing Workshop (SSP), Jun 2018
  4. A Study on Convolution Using Half–Precision Floating–Point Numbers on GPU for Radioastronomy Deconvolution
    M. Seznec, N. Gac, A. Ferrari, and F. Orieux
    In IEEE Workshop on Signal Processing Systems (SIPS), Oct 2018
  5. Robust Calibration of Radio Interferometers in Multi-Frequency Scenario
    V. Ollier, M. N. El Korso, A. Ferrari, R. Boyer, and P. Larzabal
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018
  6. ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator
    R. Ammanouil, A. Ferrari, and C. Richard
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018
  7. Bayesian calibration using different prior distributions: an iterative maximum a posteriori approach for radio interferometers
    V. Ollier, M. N. El Korso, A. Ferrari, R. Boyer, and P. Larzabal
    In European Signal Processing Conference (EUSIPCO), Sep 2018
  8. French SKA White Book - The French Community towards the Square Kilometre Array
    F. Acero, J.-T. Acquaviva, R. Adam, and others
    2018

2017

  1. Diffusion LMS for Multitask Problems With Local Linear Equality Constraints
    R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed
    IEEE Transactions on Signal Processing, Oct 2017
  2. Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions
    R. Ammanouil, A. Ferrari, C. Richard, and S. Mathieu
    IEEE Transactions on Image Processing, Jan 2017
  3. A Telemetry Monitoring System Using the One-Class SVM Method
    L. Chaari, J.Y. Tourneret, S. Fuertes, G. Picart, A. Ferrari, and C. Richard
    In World Congress on Condition Monitoring (WCCM), Jun 2017
  4. Unmixing of multispectral photoacoustic images
    A. Dolet, R. Ammanouil, F. Varray, Y. Liu, Z. Yuan, P. Tortoli, A. Ferrari, C. Richard, and D. Vray
    In GRETSI, Sep 2017
  5. Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters
    R. Ammanouil, A. Ferrari, R. Flamary, C. Ferrari, and D. Mary
    In European Signal Processing Conference (EUSIPCO), Jan 2017
  6. Distributed approach for deblurring large images with shift-variant blur
    R. Mourya, A. Ferrari, R. Flamary, P. Bianchi, and C. Richard
    In European Signal Processing Conference (EUSIPCO), Aug 2017
  7. Parallel image reconstruction for multi-frequency radio-interferometry
    A. Ferrari, D. Mary, and C. Ferrari
    In International BASP Frontiers workshop, Aug 2017
  8. Method for detecting atypical behaviour of telemetry parameters, and associated computer program product and device
    Sylvain Fuertes, Gilles Picart, Lotfi Chaari, André Ferrari, Cédric Richard, and Jean-Yves Tourneret
    2017
    Patent WO2017098030A1

2016

  1. Proximity operators for phase retrieval
    F. Soulez, É. Thiébaut, A. Schutz, A. Ferrari, F. Courbin, and M. Unser
    Applied Optics, Sep 2016
  2. Multitask Diffusion Adaptation Over Asynchronous Networks
    R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed
    IEEE Transactions on Signal Processing, Jun 2016
  3. Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization
    R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed
    IEEE Transactions on Signal Processing, Dec 2016
  4. Algorithmic aspects for the reconstruction of spatio-spectral data cubes in the perspective of the SKA
    D. Mary, A. Ferrari, C. Ferrari, J. Deguignet, and M. Vannier
    In Semaine de l’Astrophysique Française, SF2A, 2016
  5. The 2016 Interferometric Imaging Beauty Contest
    J. Sanchez-Bermudez, É Thiébaut, K.-H. Hofmann, M. Heininger, D. Schertl, G. Weigelt, F. Millour, A. Schutz, A. Ferrari, M. Vannier, D. Mary, and J. Young
    In SPIE Optical and Infrared Interferometry and Imaging, Jul 2016
  6. Fast and robust exo-planet detection in multi-spectral, multi-temporal data
    F. Soulez, É Thiébaut, J. Kluska, M. Tallon, A. Schutz, and A. Ferrari
    In SPIE Optical and Infrared Interferometry and Imaging, Jul 2016
  7. Fast and robust exo-planet detection in multi-spectral, multi-temporal data
    É Thiébaut, L. Denis, L. Mugnier, A. Ferrari, D. Mary, M. Langlois, F. Cantalloube, and N. Devaney
    In SPIE Adaptive Optics Systems, Jul 2016
  8. Interbands phase models for polychromatic image reconstruction in optical interferometry
    A. Schutz, A. Ferrari, É Thiébaut, F. Soulez, M. Vannier, and D. Mary
    In SPIE Optical and Infrared Interferometry and Imaging, Jul 2016
  9. Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques
    S. Fuertes, G. Picart, J.-Y. Tourneret, L. Chaari, A. Ferrari, and C. Richard
    In International Conference on Space Operations (SpaceOps), May 2016
  10. Fast and robust detection of a known pattern in an image
    L. Denis, A. Ferrari, D. Mary, L. Mugnier, and É. Thiébaut
    In European Signal Processing Conference (EUSIPCO), Sep 2016
  11. Distributed Multi-Frequency Image Reconstruction For Radio-Interferometry
    J. Deguignet, A. Ferrari, D. Mary, and C. Ferrari
    In European Signal Processing Conference (EUSIPCO), Sep 2016
  12. Diffusion LMS over multitask networks with noisy links
    R. Nassif, C. Richard, J. Chen, A. Ferrari, and A. H. Sayed
    In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2016
  13. Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions
    R. Ammanouil, A. Ferrari, C. Richard, and J. Y. Tournere
    In IEEE Statistical Signal Processing Workshop (SSP), Jun 2016
  14. Unsupervised neighbor dependent nonlinear unmixing
    R. Ammanouil, A. Ferrari, and C. Richard
    In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2016
  15. Diffusion LMS over multitask networks with noisy links
    R. Nassif, C. Richard, A. Ferrari, and A.H. Sayed
    In Signals, Systems and Computers (ASILOMAR), Nov 2016

2015

  1. Multi-frequency image reconstruction for radio interferometry. A regularized inverse problem approach
    A. Ferrari, J. Deguignet, D. Mary, C. Ferrari, and O. Smirnov
    In SKA Pathfinders Radio Continuum Surveys (SPARCS), Jul 2015
  2. Modèle non-linéaire et semi-paramétrique pour le démélange non-supervisé d’images hyperspectrales
    R. Ammanouil, A. Ferrari, and C. Richard
    In GRETSI, Sep 2015
  3. Estimation distribuée sur les réseaux multitâches en présence d’échanges d’informations bruitées
    R. Nassif, C. Richard, and A. Ferrari
    In GRETSI, Sep 2015
  4. Hyperspectral data unmixing with graph-based regularization
    R. Ammanouil, A. Ferrari, and C. Richard
    In IEEE workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Jun 2015
  5. Large scale 3D image reconstruction in optical interferometry
    A. Schutz, A. Ferrari, D. Mary, É Thiébaut, and F. Soulez
    In European Signal Processing Conference (EUSIPCO), Sep 2015
  6. Multitask diffusion LMS with sparsity-based regularization
    R. Nassif, C. Richard, A. Ferrari, and A.H. Sayed
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015
  7. A graph Laplacian regularization for hyperspectral data unmixing
    R. Ammanouil, A. Ferrari, and C. Richard
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015

2014

  1. Statistical characterisation of polychromatic absolute and differential squared visibilities obtained from AMBER/VLTI instrument
    A. Schutz, M. Vannier, D. Mary, A. Ferrari, F. Millour, and R. Petrov
    Astronomy and Astrophysics, May 2014
  2. PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry
    Antony Schutz, A. Ferrari, David Mary, Férréol Soulez, Thiébaut, and Martin Vannier
    Journal of the Optical Society of America, A, Dec 2014
  3. Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios
    R.F.R. Suleiman, D. Mary, and A. Ferrari
    IEEE Transactions on Signal Processing, Nov 2014
  4. Blind and Fully Constrained Unmixing of Hyperspectral Images
    R. Ammanouil, A. Ferrari, and C. Richard
    IEEE Transactions on Image Processing, Dec 2014
  5. Equivalence between the Posterior Distribution of the Likelihood Ratio and a p-value in an Invariant Frame
    Isabelle Smith and A. Ferrari
    Bayesian Analysis, Sep 2014
  6. GLUP: yet another algorithm for blind unmixing of hyperspectral data
    R. Ammanouil, A. Ferrari, C. Richard, and D. Mary
    In IEEE workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Jun 2014
  7. Détection de sources astrophysiques dans les données du spectrographe integral de champ MUSE
    D. Mary, A. Ferrari, and R.F.R. Suleiman
    In Colloque de la Société Française de Photogrammétrie et Télédétection, May 2014
  8. Distributed image reconstruction for very large arrays in radio astronomy
    A. Ferrari, D. Mary, R. Flamary, and C. Richard
    In IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Jun 2014
  9. A Non-Asymptotic Standardization of Binomial Counts in Higher Criticism
    D. Mary and A. Ferrari
    In IEEE International Symposium on Information Theory (ISIT), Jun 2014
  10. Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument
    D. Mary, A. Ferrari, and S. Paris
    In IEEE International Conference on Image Processing (ICIP), Oct 2014
  11. Subspace learning in minimax detection
    R.F.R. Suleiman, D. Mary, and A. Ferrari
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014
  12. Performance analysis of multitask diffusion adaptation over asynchronous networks
    R. Nassif, C. Richard, A. Ferrari, and A.H. Sayed
    In Signals, Systems and Computers (ASILOMAR), Nov 2014

2013

  1. Detection Tests Using Sparse Models, With Application to Hyperspectral Data
    S. Paris, D. Mary, and A. Ferrari
    IEEE Transactions on Signal Processing, Jan 2013
  2. Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression
    J. Chen, C. Richard, A. Ferrari, and P. Honeine
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013
  3. Back to Results Minimax sparse detection based on one-class classifiers
    R.F.R. Suleiman, D. Mary, and A. Ferrari
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013
  4. Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data
    S. Paris, R.F.R. Suleiman, D. Mary, and A. Ferrari
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013
  5. Models with products of Dirichlet processes
    P. Djuric and A. Ferrari
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2013
  6. Distribution des observables en interférométrie optique polychromatique et impact sur la reconstruction d’images
    A. Schutz, M. Vannier, D. Mary, and A. Ferrari
    In GRETSI, Sep 2013
  7. Parcimonie, apprentissage et classification pour une approche minimax en détection
    R.F.R. Suleiman, D. Mary, and A. Ferrari
    In GRETSI, Sep 2013
  8. Group Lasso avec contraintes de positivité et de somme unité pour le dé mé lange non-supervisé des images hyperspectrales
    A. Ferrari, C. Richard, and D. Mary
    In GRETSI, Sep 2013
  9. New Concepts in Imaging: Optical and Statistical Models
    J.-P. Folcher, M. Carbillet, A. Ferrari, and A. Abelli
    2013

2012

  1. Stationnarité Relative et Approches Connexes
    Patrick Flandrin, Cédric Richard, Pierre-olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, A. Ferrari, Jun Xiao, Azadeh Moghtaderi, and Pepa Ramirez-Cobo
    Traitement du signal, Aug 2012
  2. Generalization of the posterior distribution of the likelihood ratio to composite vs composite hypotheses testing
    I. Smith and A. Ferrari
    In ISBA, International Society for Bayesian Analysis, Jun 2012
  3. Classification of multivariate data using Dirichlet process mixture models
    P. Djuric and A. Ferrari
    In Signals, Systems and Computers (ASILOMAR), Nov 2012
  4. MAP-based sparse detection strategies. Application to the hyperspectral data of the MUSE instrument.
    Silvia Paris, David Mary, and A. Ferrari
    In Astronomical Data Analysys, ADA VII, May 2012
  5. Adaptive inverse control using kernel identification
    A. Abelli, A. Ferrari, S. Monaco, and C. Richard
    In American Control Conference (ACC), Jun 2012
  6. Advances in Machine Learning and Data Mining for Astronomy
    Pierre Borgnat, Patrick Flandrin, Cédric Richard, A. Ferrari, Hassan Amoud, and Paul Honeine
    2012

2011

  1. Apodized Lyot coronagraph for SPHERE/VLT
    M. Carbillet, Ph. Bendjoya, L. Abe, G. Guerri, A. Boccaletti, J.-B. Daban, Kj. Dohlen, A. Ferrari, S. Robbe-Dubois, R. Douet, and F. Vakili
    Experimental Astronomy, Mar 2011
  2. PDR and LRMAP detection tests applied to massive hyperspectral data
    S. Paris, D. Mary, and A. Ferrari
    In International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2011
  3. Sur des tests d’hypothèses composites pour des paramètres parcimonieux
    S. Paris, D. Mary, and A. Ferrari
    In GRETSI, Sep 2011
  4. Restauration des cubes hyperspectraux du spectro-imageur MUSE
    S. Bourguignon, D. Mary, H. Carfantan, E. Slezak, and A. Ferrari
    In GRETSI, Sep 2011
  5. Sparsity-based composite detection tests. Application to astrophysical hyperspectral data
    S. Paris, D. Mary, A. Ferrari, and S. Bourguignon
    In European Signal Processing Conference (EUSIPCO), Sep 2011
  6. Transitional surrogates
    P. Borgnat, P. Flandrin, A. Ferrari, and C. Richard
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2011
  7. Composite hypothesis tests for sparse parameters
    S. Paris, D. Mary, and A. Ferrari
    In IEEE Statistical Signal Processing Workshop, Jun 2011
  8. Digital Spectral Analysis: Parametric, Non-Parametric and Advanced Methods
    O. Besson and A. Ferrari
    2011

2010

  1. Joint myopic deconvolution
    F. Benvenuto and A. Ferrari
    Inverse Problems, 2010
  2. Some results on disturbance rejection control for an adaptive optics system
    J.-P. Folcher, A. Abelli, A. Ferrari, and M. Carbillet
    In Semaine de l’Astrophysique Française, SF2A, 2010
  3. Bayesian detection with the posterior distribution of the likelihood ratio
    I Smith and A. Ferrari
    In European Signal Processing Conference (EUSIPCO), 2010
  4. The Posterior distribution of the Likelihood Ratio as a measure of evidence
    I. Smith and A. Ferrari
    In Maxent, 2010
  5. Classic adaptive optics: disturbance rejection control
    A. Abelli, J-P Folcher, A. Ferrari, and M. Carbillet
    In SPIE, Astronomical Telescopes and Instrumentation, 2010
  6. Comparison of methods for detection and characterization of exoplanets with SPHERE/IRDIS
    A. Vigan, C. Moutou, M. Langlois, D. Mouillet, K. Dohlen, A. Boccaletti, M. Carbillet, I. Smith, A. Ferrari, L. Mugnier, and C. Thalmann
    In SPIE, Astronomical Telescopes and Instrumentation, 2010
  7. Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking
    C. Richard, P. Honeine, H. Snoussi, A. Ferrari, and C. Theys
    In IGARSS, 2010
  8. Transductive kernel matrix learning with hierarchic Bayesian model, application to hyperspectral images
    A. Ferrari, C. Richard, I. Smith, and C. Theys
    In IGARSS, 2010

2009

  1. Apodized pupil Lyot coronagraphs for arbitrary apertures. II. theoretical properties and application to extremely large telescopes.
    R. Soummer, L. Pueyo, A. Ferrari, C. Aime, A. Sivaramakrishnan, and N. Yaitskova
    The Astrophysical Journal, 2009
  2. Analytical computation of the Lyot coronagraph response to an extended source
    A. Ferrari, C. Aime, and R. Soummer
    Journal of the Optical Society of America, 2009
  3. Lois de Poisson mélangées multivariées : application à la détection en présence de speckles
    F. Chatelain, A. Ferrari, and J.-Y. Tourneret
    Traitement du Signal, 2009
    Traitement du Signal
  4. Detection of a moving source in speckle noise. Application to exoplanet detection
    I. Smith, A. Ferrari, and M. Carbillet
    IEEE Transactions on Signal Processing, Mar 2009
  5. Détection d’exoplanètes par imagerie directe, une approche Bayesienne
    I. Smith and A. Ferrari
    In GRETSI, 2009
  6. Detection from a multi-channel sensor using a hierarchical Bayesian model
    I Smith and A. Ferrari
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009

2008

  1. The study of an iterative method for the reconstruction of images corrupted by Poisson and Gaussian noise
    F. Benvenuto, A. La Camera, C. Theys, A. Ferrari, H. Lantéri, and M. Bertero
    Inverse Problems, 2008
  2. The Software Package SPHERE: a CAOS-based numerical tool for end-to-end simulations of SPHERE/VLT
    M. Carbillet, A. Boccaletti, C. Thalmann, T. Fusco, A. Vigan, I. Smith, D. Mouillet, K. Dohlen, P. Bendjoya, and A. Ferrari
    In SPIE, Astronomical Telescopes and Instrumentation, 2008
  3. Apodized apertures for solar coronagraphy
    A. Carlotti, C. Aime, J. Arnaud, M. Faurobert, A. Ferrari, C. Grec, and G. Ricort
    In SPIE, Astronomical Telescopes and Instrumentation, 2008
  4. Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging.
    I. Smith, A. Ferrari, and M. Carbillet
    In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’08), 2008
  5. Simulation of moving exoplanets detection using the VLT instrument SPHERE/IRDIS
    I. Smith, M. Carbillet, A. Ferrari, D. Mouillet, A. Boccaletti, and K. Dohlen
    In SPIE, Astronomical Telescopes and Instrumentation, 2008

2007

  1. Strehl ratio estimation and statistics in adaptive optics images
    R. Soummer and A. Ferrari
    The Astrophysical Journal Letters, 2007
  2. An introduction to stellar coronagraphy
    A. Ferrari, R. Soummer, and C. Aime
    Comptes Rendus de L’Académie des Sciences, Physiques, 2007
  3. Speckle noise and dynamic range in coronagraphic images
    R. Soummer, A. Ferrari, C. Aime, and L. Jolissaint
    The Astrophysical Journal, 2007
  4. Bivariate Gamma Distributions for Image Registration and Change Detection
    F. Chatelain, J.Y. Tourneret, J. Inglada, and A. Ferrari
    IEEE Transactions on Image Processing, 2007
  5. Analytical Analysis of Lyot Coronographs Response
    A. Ferrari
    The Astrophysical Journal, 2007
  6. Exponential families of mixed Poisson distributions
    A. Ferrari, G. Letac, and J.-Y. Tourneret
    Journal of Multivariate Analysis, 2007
  7. An exoplanet detection algorithm for field-rotated coronagraphic images, and preliminary results for SPHERE
    I. Smith, A. Ferrari, M. Carbillet, A. Boccaletti, T. Fusco, K. Dohlen, D. Mouillet, and M. Langlois
    In Semaine de l’Astrophysique Française, SF2A, 2007
  8. Détection d’exoplanètes à l’aide de méthodes des moments
    F. Chatelain, A. Ferrari, and J.-Y. Tourneret
    In GRETSI, 2007

2006

  1. Parameter Estimation for Multivariate Mixed Poisson Distributions
    F. Chatelain, A. Ferrari, and J.-Y. Tourneret
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2006
  2. Apodized Pupil Lyot Coronagraphs: Concepts and application to the Gemini Planet Imager
    R. Soummer, A. Ferrari, C. Aime, A. Sivaramakrishnan, B.R. Oppenheimer, R. Makidon, and B. Macintosh
    In Proceedings of the IAU, Colloquium Vol. 200, 2006
  3. Speckle statistics in direct and coronagraphic imaging
    R. Soummer, C. Aime, A. Ferrari, A. Sivaramakrishnan, L. Jolissaint, B. Oppenheimer, J. Lloyd, R. Makidon, M. Carbillet, and B. Macintosh
    In Proceedings of the IAU, Colloquium Vol. 200, 2006
  4. Data Processing for Exoplanet Detection Using Direct Imaging
    A. Ferrari, M. Carbillet, C. Aime, E. Serradel, and R. Soummer
    In Proceedings of the IAU, Colloquium Vol. 200, 2006
  5. Parameter estimation for multivariate Gamma distributions, application to image registration
    F. Chatelain, J.-Y. Tourneret, J. Inglada, and A. Ferrari
    In European Signal Processing Conference (EUSIPCO), 2006
  6. Astronomy with High Contrast Imaging III
    2006
  7. Astronomy with High Contrast Imaging III
    A. Ferrari
    2006

2005

  1. The Noncentral Wishart Distribution: Properties and Application to Speckle Imaging
    J.-Y. Tourneret, A. Ferrari, and G. Letac
    In IEEE Statistical Signal Processing Workshop, 2005
  2. A UMP Unbiaised test for target Detection in Active Coherent Images
    J.-Y. Tourneret, A. Ferrari, F. Goudail, and P. Réfrégier
    In Physics in Signal and Image Processing, 2005
  3. Analyse Statistique de la Détection de Planète par Imagerie Directe
    A. Ferrari, J.-Y. Tourneret, and C. Aime
    In GRETSI, 2005
  4. Spectral Analysis: Parametric And Non-parametric Digital Methods
    O. Besson and A. Ferrari
    2005

2004

  1. Fringe visibility estimation in Michelson stellar interferometry: asymptotic performances
    Y. Cavallin and A. Ferrari
    Journal of Optics A: Pure and Applied Optics, 2004
    see corrigendum in June p. 666
  2. Cramer-Rao Lower Bounds in Additive and Multiplicative Noise
    J.-Y. Tourneret, A. Ferrari, and A. Swami
    EURASIP Signal Processing, 2004
  3. Multivariate Mixed Poisson distributions
    A. Ferrari, G. Letac, and J.-Y. Tourneret
    In European Signal Processing Conference (EUSIPCO), 2004
  4. Detection Performance for Discrete Test Statistics. Application to Low-Flux Imagery
    A. Ferrari and J.-Y. Tourneret
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2004
  5. Signaux Aléatoires, Modélisation Estimation Détection
    G. Alengrin and A. Ferrari
    2004
  6. Signaux Aléatoires, Modélisation Estimation Détection
    O. Michel, A. Hero, and A. Ferrari
    2004
  7. Traitement statistique du signal et applications à quelques problèmes d’Astrophysique
    A. Ferrari
    2004

2003

  1. Analysis of Flux Variation Detection in Poisson Processes, Application to Direct Detection of Extra-solar Planets
    A. Ferrari, O. Michel, and C. Aime
    In Physics in Signal and Image Processing, 2003
  2. Etude des performances asymptotiques en interférométrie des tavelures
    Y. Cavallin and A. Ferrari
    In GRETSI, 2003
  3. Barankin Lower bound for change-points in independent sequences
    A. Ferrari and J.-Y. Tourneret
    In IEEE Statistical Signal Processing Workshop, 2003
    Erratum: in (4) the square in the denominator must be suppressed

2002

  1. Total coronographic extinction of rectangular apertures using linear prolate apodizations
    C. Aime, R. Soummer, and A. Ferrari
    Astronomy and Astrophysics, 2002
  2. Parametric modeling of photometric signals
    A. Ferrari, J.Y. Tourneret, and G. Alengrin
    EURASIP Signal Processing, 2002
  3. Improvement of coronography using optimal apodizations
    R. Soummer, C. Aime, A. Ferrari, and P. Falloon
    In SPIE, Astronomical Telescopes and Instrumentation, 2002
  4. Extension of Whittle likelihood to transient signal parameters estimation, application to stellar speckle interferometry
    A. Ferrari and Y. Cavallin
    In European Signal Processing Conference (EUSIPCO), 2002
  5. Spectral Modes Estimation using Whittle-type Criterion, Applications to stellar speckle interferometry
    A. Ferrari, Y. Cavallin, and H. Lanteri
    In European Signal Processing Conference (EUSIPCO), 2002
  6. Changepoint detection in multivariate Poisson distributions
    J.-Y. Tourneret, A. Ferrari, and G. Letac
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2002
  7. Analyse Spectrale
    O. Besson and A. Ferrari
    2002
  8. Astronomy with High Contrast Imaging
    O. Michel and A. Ferrari
    2002

2001

  1. Interferometric apodization of rectangular apertures. Application to stellar coronography
    C. Aime, R. Soummer, and A. Ferrari
    Astronomy and Astrophysics, 2001
  2. Marginal Bayesian analysis of Polynomial-Phase Signals
    C. Theys, A. Ferrari, and M. Vieira
    EURASIP Signal Processing, 2001
    Special issue on MCMC
  3. Étude Statistique de la Détection d’Exo-Planètes en Imagerie Courte Pose
    A. Ferrari and C. Aime
    In GRETSI, 2001
    Paper 256
  4. Le modèle harmonique stochastique et son application au rehaussement de signal de parole
    E. Grivel, A. Ferrari, and O. Cappé
    In GRETSI, 2001
    Paper 276

2000

  1. Cramer-Rao Lower Bound on Parameters of Abrupt Changes Corrupted by Additive and Multiplicative Noise
    J.Y. Tourneret and A. Ferrari
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2000
  2. Statistical Analysis of a Parametric Model for Photometric Signals
    A. Ferrari and J.Y. Tourneret
    In European Signal Processing Conference (EUSIPCO), 2000
  3. Statistical Analysis of SMF Algorithm for Polynomial Phase Signal Analysis
    A. Ferrari and G. Alengrin
    In IEEE Statistical Signal and Array Processing Workshop, 2000

1999

  1. Parametric representation of helioseismic data. Part 1: a method for estimation of mode correlation
    A. Ferrari, F.-X. Schmider, and G. Alengrin
    Astronomy and Astrophysics, 1999
  2. Analyse Statistique de SMF pour l’étude des signaux à phase polynômiale
    A. Ferrari, G. Alengrin, and M. Benidir
    In GRETSI, 1999
  3. Detection of extra solar planets using parametric modeling
    A. Ferrari, J.Y. Tourneret, and F.-X. Schmider
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1999
  4. Estimation Spectrale Paramétrique de Modes Corréllés, Application à l’Héliosismologie
    A. Ferrari, F.X. Schmider, M. Cercos, and B. Gelly
    In GRETSI, 1999

1998

  1. A Parametric Model of the Solar Full-disk Seismological Signal
    In SOHO 6/GONG 98 Workshop, 1998
  2. AR Spectral Analysis with Random Missing Observations
    A. Ferrari and G. Alengrin
    In IEEE Statistical Signal and Array Processing Workshop, 1998
  3. Parametric Estimation of Correlation in Solar Oscillations
    F.-X. Schmider, A. Ferrari, B. Gelly, G. Alengrin, and D. Mouret
    In SOHO 6/GONG 98 Workshop, 1998

1997

  1. Doppler Ambiguity Resolution Using Multiple PRF
    A. Ferrari, C. Bérenguer, and G. Alengrin
    IEEE Transactions on Aerospace and Electronic Systems, 1997
  2. Sampling Jitter Detection using Higher-Order Statistics
    J.Y. Tourneret, A. Ferrari, and B. Lacaze
    In IEEE High Order Statistics workshop, 1997
  3. Spectral Estimation of a Gaussian Signal Sampled with Jitter
    A. Ferrari, J.Y. Tourneret, and G. Alengrin
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1997
  4. Détection bayésienne de saut de fréquence par des méthodes MCMC
    M. Vieira, C. Theys, and A. Ferrari
    In GRETSI, 1997
  5. Bayesian Estimation of the Parameters of a Polynomial Phase Signal using MCMC methods
    C. Theys, M. Vieira, and A. Ferrari
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1997

1996

  1. Polynomial phase signal analysis using stationary moments
    A. Ferrari, C. Theys, and G. Alengrin
    EURASIP Signal Processing, 1996
  2. Stationary moments of a polynomial phase signal, application to parameter estimation
    A. Ferrari, C. Theys, and G. Alengrin
    In European Signal Processing Conference (EUSIPCO), 1996
  3. Detection and Estimation of Changes in a Polynomial-Phase Signal using the DPPT
    C. Theys, A. Ferrari, and G. Alengrin
    In European Signal Processing Conference (EUSIPCO), 1996

1995

  1. Doppler Ambiguity Resolution Using Staggered PRF with a New Chirp Sweep Rate Estimation Algorithm
    A. Ferrari, G. Alengrin, and C. Theys
    IEE Proceedings - Part F Radar, Sonar, Navigation, 1995
  2. Détection Séquentielle de Sauts dans les Paramètres d’un Signal à Fréquence Polynomiale
    C. Theys, A. Ferrari, and G. Alengrin
    In GRETSI, 1995
  3. Optimization of Sampling Instants for Non Ambiguous Radar Doppler Frequency Estimation
    C. Bérenguer, A. Ferrari, and G. Alengrin
    In Workshop on Sampling Theory and Applications, 1995
  4. A parametric model for the quadratic sampling of a bandlimited signal
    A. Ferrari, R. Lorion, and G. Alengrin
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1995

1994

  1. High Order Ergodicity of a Complex Sinusoidal Process
    A. Ferrari and G. Alengrin
    IEEE Transactions on Information Theory, 1994
  2. Blind Bursts Handling in Doppler Ambiguity Resolution for Multiple PRF Radar
    C. Bérenguer and A. Ferrari
    In International Conference on Radar-RADAR’94, 1994
  3. Detection and Estimation of Simultaneous Multiple Phase or Amplitude Jumps in Noisy Sinusoidal Processes
    C. Theys, A. Ferrari, and G. Alengrin
    In IEEE Conference on Decision and Control, 1994

1993

  1. Numerical Experiments with One Dimensional Adaptive Cubic Algorithm
    A. Ferrari and E.A. Galperin
    Computers & Mathematics with Applications, 1993
    Second Special Issue on Global Optimization, Control and Games
  2. Overdetermined Noise Compensation Without Eigendecomposition for Frequency Estimation
    C. Bérenguer, C. Theys, A. Ferrari, and G. Alengrin
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1993
  3. Estimation Doppler Radar Non Ambigüe
    A. Ferrari, C. Bérenguer, and M. Artaud
    In GRETSI, 1993
  4. Cartographie Doppler et Détection de Cibles Radar
    C. Bérenguer, A. Ferrari, and L. Martinet
    In GRETSI, 1993

1992

  1. Improvements of a State-Space Iterative Noise Reduction Algorithm for Harmonic Retrieval
    A. Ferrari, G. Alengrin, and T. Pitarque
    IEEE Transactions on Acoustics, Speech and Signal Processing, 1992
  2. Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies - Application to SONAR Multipath Delay Estimation
    A. Ferrari, G. Alengrin, and C. Theys
    In European Signal Processing Conference (EUSIPCO), 1992
  3. Detection of changes in a nonstationary signal using a time varying AR modelling
    T. Pitarque, A. Ferrari, C. Theys, and J. Ménez
    In International Conference on Digital Signal Processing, 1992
  4. Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies
    A. Ferrari, G. Alengrin, and C. Theys
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1992
  5. New Approach to Estimation of the Frequency of a Noisy Cisoid
    A. Ferrari, G. Alengrin, and J. Ménez
    In European Signal Processing Conference (EUSIPCO), 1992
  6. Numerical Experiments with One Dimensional Adaptive Cubic Algorithm
    A. Ferrari and E.A. Galperin
    In Fourth SIAM Conference on Optimization, 1992
  7. Contribution à l’Etude et au Développement de Méthodes “Haute Résolution” en Analyse Spectrale
    A. Ferrari
    1992

1991

  1. A new state-space algorithm for computing the frequencies of sinusoids in white noise
    T. Pitarque, G. Alengrin, and J. Ménez A. Ferrari
    EURASIP Signal Processing, 1991
  2. A single frequency efficient estimator
    A. Ferrari, J. Ménez, and G. Alengrin
    Electronics letters, 1991
  3. Estimation de la fréquence fondamentale d’une somme bruitée de cisoides de fréquence harmonique
    A. Ferrari and G. Alengrin
    In GRETSI, 1991
  4. Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics
    A. Ferrari and G. Alengrin
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1991
  5. Détection de trajets multiples se signaux sonar par modélisation évolutive
    C. Theys, A. Ferrari, M. Le Dard, and T. Pitarque
    In GRETSI, 1991

1990

  1. A state space approach for computing Pisarenko’s frequencies
    G. Alengrin, J. Ménez, and A. Ferrari
    In European Signal Processing Conference (EUSIPCO), 1990
  2. Spectral estimation methods avoiding eigenvector decomposition
    T. Pitarque, G. Alengrin, and A. Ferrari
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1990