Publications

S. Prunet, C. Aime, A. Ferrari, C. Theys (2024). Computation of the Fresnel diffraction of Starshades based on a polygonal approximation. SPIE Space Telescopes and Instrumentation.

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C. Aime, C. Theys, S. Prunet, A. Ferrari (2024). A comparison of solar and stellar coronagraphs that make use of external occulters. SPIE Space Telescopes and Instrumentation.

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P. Tripathi, S. Wang, S. Prunet, A. Ferrari (2024). Shape measurement of radio galaxies using Equivariant CNNs.

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S. Wang, S. Prunet, S. Mignot, A. Ferrari (2024). Multi-Step Reconstruction of Radio-Interferometric Images.

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E. Chappon, N. Pustelnik, J. Tachella, L. Denneulin, A. Ferrari, M. Langlois (2024). From linear to nonlinear unfolded Condat-Vũ algorithm for spectro-polarimetric hight-constrast image recovery.

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C. Aime, S. Prunet, C. Theys, A. Ferrari, H. Lantéri (2024). A new approach for the numerical calculation of diffraction patterns using starshades. Astronomy and Astrophysics.

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X. Wang, R. A. Borsoi, C. Richard, A. Ferrari (2023). Distributed Change Point Detection in Streaming Manifold-valued Signals over Graphs. Signals, Systems and Computers (ASILOMAR).

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X. Wang, R. A. Borsoi, C. Richard, A. Ferrari (2023). Détection de changements dans des signaux sur graphe à valeur dans des varit́' ́riemanniennes. GRETSI.

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T. Montagu, A. Ferrari (2023). Variance Stabilizing Transformations for Intensity Estimators of Shot Noise. IEEE Signal Processing Letters.

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M. Van Den Ende, A. Ferrari, A. Sladen, C. Richard (2023). Precision Traffic Monitoring: Leveraging Distributed Acoustic Sensing and Deep Neural Networks.

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A. Ferrari, C. Richard, A. Bourrier, I. Bouchikhi (2023). Online change-point detection with kernels. Pattern Recognition.

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M. Van Den Ende, I. Lior, J. -P. Ampuero, A. Sladen, A. Ferrari, C. Richard (2022). A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing data. IEEE Transactions on Neural Networks and Learning Systems.

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Y. Khacef, M Van Den Ende, A. Ferrari, C. Richard, Anthony Sladen (2022). Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing. Signals, Systems and Computers (ASILOMAR).

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M. Van Den Ende, A. Ferrari, A. Sladen, C. Richard (2022). Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis. European Signal Processing Conference (EUSIPCO).

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T. Montagu, A. Ferrari (2022). Variance Stabilizing Transformations for Intensity Estimators of Shot Noise. IEEE Signal Processing Letters.

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N. Gac, J. -F. Nezan, A. Ferrari, C. Ferrari, M. Quinson, C. Viou (2022). Prototypage Rapide d'un Super-Calculateur Dédié à' la Radiastronimie. L’interdisciplinarité, MITI.

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M. Van Den Ende, A. Ferrari, A. Sladen, C. Richard (2022). Deep Deconvolution for Traffic Analysis with Distributed Acoustic Sensing Data. IEEE Transactions on Intelligent Transportation Systems.

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R. A. Borsoi, A. Ferrari, C. Richard (2022). An interpretable framework for deep learning-based signal denoising under covariate shift.

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M Van Den Ende, A. Ferrari, A. Sladen, C.Richard (2021). Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing. Signals, Systems and Computers (ASILOMAR).

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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, C. Viou (2021). Dataflow Algorithm architecture co-design of SKA pipeline for Exascale Radio Astronomy. ISC High Performance 2021 Digital.

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R. A. Borsoi, C. Richard, A. Ferrari, J. Chen, J. C. M. Bermudez (2020). Online Graph-Based Change Point Detection in Multiband Image Sequences. European Signal Processing Conference (EUSIPCO).

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A. Ferrari, C. Richard (2020). Non-parametric community change-points detection in streaming graph signals. 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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A. Ferrari, C. Richard, L. Verducci (2019). Distributed change detection in streaming graph signals. 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

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A. Boudehane, R. Boyer, V. Ollier, M. El Korso, A. Ferrari, P. Larzabal (2019). Performance Bound for Robust Array Calibration in Radio Interferometry. GRETSI.

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I. Bouchikhi, A. Ferrari, C. Richard, A. Bourrier, M. Bernot (2019). Kernel based online change point detection. European Signal Processing Conference (EUSIPCO).

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R. Ammanouil, A. Ferrari, D. Mary, C. Ferrari, F. Loi (2019). A parallel and automatically tuned algorithm for multispectral image deconvolution. Monthly Notices of the Royal Astronomical Society.

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V. Ollier, M. N. El Korso, A. Ferrari, R. Boyer, P. Larzabal (2018). Robust distributed calibration of radio interferometers with direction dependent distortions. Signal Processing.

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M. Seznec, N. Gac, A. Ferrari, F. Orieux (2018). A Study on Convolution Using Half--Precision Floating--Point Numbers on GPU for Radioastronomy Deconvolution. IEEE Workshop on Signal Processing Systems (SIPS).

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C. Meillier, R. Ammanouil, A. Ferrari, P. Bianchi (2018). Distribution strategies for very large 3D image deconvolution algorithms. Signal Processing: Image Communication.

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V. Ollier, M. N. El Korso, A. Ferrari, R. Boyer, P. Larzabal (2018). Bayesian calibration using different prior distributions: an iterative maximum a posteriori approach for radio interferometers. European Signal Processing Conference (EUSIPCO).

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I. Bouchikhi, A. Ferrari, C. Richard, A. Bourrier, M. Bernot (2018). Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation. IEEE Statistical Signal Processing Workshop (SSP).

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V. Ollier, M. N. El Korso, A. Ferrari, R. Boyer, P. Larzabal (2018). Robust Calibration of Radio Interferometers in Multi-Frequency Scenario. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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R. Ammanouil, A. Ferrari, C. Richard (2018). ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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F. Acero, J. -T. Acquaviva, R. Adam, Others (2018). French SKA White Book - The French Community towards the Square Kilometre Array.

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R. Nassif, C. Richard, A. Ferrari, A. H. Sayed (2017). Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. IEEE Transactions on Signal Processing.

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A. Dolet, R. Ammanouil, F. Varray, Y. Liu, Z. Yuan, P. Tortoli, A. Ferrari, C. Richard, D. Vray (2017). Unmixing of multispectral photoacoustic images. GRETSI.

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A. Ferrari, D. Mary, C. Ferrari (2017). Parallel image reconstruction for multi-frequency radio-interferometry. International BASP Frontiers workshop.

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R. Mourya, A. Ferrari, R. Flamary, P. Bianchi, C. Richard (2017). Distributed approach for deblurring large images with shift-variant blur. European Signal Processing Conference (EUSIPCO).

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L. Chaari, J. Y. Tourneret, S. Fuertes, G. Picart, A. Ferrari, C. Richard (2017). A Telemetry Monitoring System Using the One-Class SVM Method. World Congress on Condition Monitoring (WCCM).

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R. Ammanouil, A. Ferrari, C. Richard, S. Mathieu (2017). Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions. IEEE Transactions on Image Processing.

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R. Ammanouil, A. Ferrari, R. Flamary, C. Ferrari, D. Mary (2017). Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. European Signal Processing Conference (EUSIPCO).

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Sylvain Fuertes, Gilles Picart, Lotfi Chaari, André Ferrari, Cédric Richard, Jean-Yves Tourneret (2017). Method for detecting atypical behaviour of telemetry parameters, and associated computer program product and device.

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R. Nassif, C. Richard, A. Ferrari, A. H. Sayed (2016). Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. IEEE Transactions on Signal Processing.

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R. Nassif, C. Richard, A. Ferrari, A. H. Sayed (2016). Diffusion LMS over multitask networks with noisy links. Signals, Systems and Computers (ASILOMAR).

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F. Soulez, É. Thiébaut, A. Schutz, A. Ferrari, F. Courbin, M. Unser (2016). Proximity operators for phase retrieval. Applied Optics.

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L. Denis, A. Ferrari, D. Mary, L. Mugnier, É. Thiébaut (2016). Fast and robust detection of a known pattern in an image. European Signal Processing Conference (EUSIPCO).

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J. Deguignet, A. Ferrari, D. Mary, C. Ferrari (2016). Distributed Multi-Frequency Image Reconstruction For Radio-Interferometry. European Signal Processing Conference (EUSIPCO).

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J. Sanchez-Bermudez, É Thiébaut, K. -H. Hofmann, M. Heininger, D. Schertl, G. Weigelt, F. Millour, A. Schutz, A. Ferrari, M. Vannier, D. Mary, J. Young (2016). The 2016 Interferometric Imaging Beauty Contest. SPIE Optical and Infrared Interferometry and Imaging.

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A. Schutz, A. Ferrari, É Thiébaut, F. Soulez, M. Vannier, D. Mary (2016). Interbands phase models for polychromatic image reconstruction in optical interferometry. SPIE Optical and Infrared Interferometry and Imaging.

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F. Soulez, É Thiébaut, J. Kluska, M. Tallon, A. Schutz, A. Ferrari (2016). Fast and robust exo-planet detection in multi-spectral, multi-temporal data. SPIE Optical and Infrared Interferometry and Imaging.

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É Thiébaut, L. Denis, L. Mugnier, A. Ferrari, D. Mary, M. Langlois, F. Cantalloube, N. Devaney (2016). Fast and robust exo-planet detection in multi-spectral, multi-temporal data. SPIE Adaptive Optics Systems.

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R. Ammanouil, A. Ferrari, C. Richard, J. Y. Tournere (2016). Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions. IEEE Statistical Signal Processing Workshop (SSP).

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R. Nassif, C. Richard, A. Ferrari, A. H. Sayed (2016). Multitask Diffusion Adaptation Over Asynchronous Networks. IEEE Transactions on Signal Processing.

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S. Fuertes, G. Picart, J. -Y. Tourneret, L. Chaari, A. Ferrari, C. Richard (2016). Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques. International Conference on Space Operations (SpaceOps).

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R. Ammanouil, A. Ferrari, C. Richard (2016). Unsupervised neighbor dependent nonlinear unmixing. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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R. Nassif, C. Richard, J. Chen, A. Ferrari, A. H. Sayed (2016). Diffusion LMS over multitask networks with noisy links. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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D. Mary, A. Ferrari, C. Ferrari, J. Deguignet, M. Vannier (2016). Algorithmic aspects for the reconstruction of spatio-spectral data cubes in the perspective of the SKA. Semaine de l’Astrophysique Fran ̧caise, SF2A.

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R. Ammanouil, A. Ferrari, C. Richard (2015). Modèle non-linéaire et semi-paramétrique pour le démélange non-supervisé d'images hyperspectrales. GRETSI.

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A. Schutz, A. Ferrari, D. Mary, É Thiébaut, F. Soulez (2015). Large scale 3D image reconstruction in optical interferometry. European Signal Processing Conference (EUSIPCO).

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R. Nassif, C. Richard, A. Ferrari (2015). Estimation distribuée sur les réseaux multitâches en présence d'échanges d'informations bruitées. GRETSI.

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A. Ferrari, J. Deguignet, D. Mary, C. Ferrari, O. Smirnov (2015). Multi-frequency image reconstruction for radio interferometry. A regularized inverse problem approach. SKA Pathfinders Radio Continuum Surveys (SPARCS).

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R. Ammanouil, A. Ferrari, C. Richard (2015). Hyperspectral data unmixing with graph-based regularization. IEEE workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

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R. Nassif, C. Richard, A. Ferrari, A. H. Sayed (2015). Multitask diffusion LMS with sparsity-based regularization. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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R. Ammanouil, A. Ferrari, C. Richard (2015). A graph Laplacian regularization for hyperspectral data unmixing. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Antony Schutz, A. Ferrari, David Mary, Férréol Soulez, Éric Thiébaut, Martin Vannier (2014). PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry. Journal of the Optical Society of America, A.

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R. Ammanouil, A. Ferrari, C. Richard (2014). Blind and Fully Constrained Unmixing of Hyperspectral Images. IEEE Transactions on Image Processing.

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R. Nassif, C. Richard, A. Ferrari, A. H. Sayed (2014). Performance analysis of multitask diffusion adaptation over asynchronous networks. Signals, Systems and Computers (ASILOMAR).

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R. F. R. Suleiman, D. Mary, A. Ferrari (2014). Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios. IEEE Transactions on Signal Processing.

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D. Mary, A. Ferrari, S. Paris (2014). Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument. IEEE International Conference on Image Processing (ICIP).

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Isabelle Smith, A. Ferrari (2014). Equivalence between the Posterior Distribution of the Likelihood Ratio and a p-value in an Invariant Frame. Bayesian Analysis.

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R. Ammanouil, A. Ferrari, C. Richard, D. Mary (2014). GLUP: yet another algorithm for blind unmixing of hyperspectral data. IEEE workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

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A. Ferrari, D. Mary, R. Flamary, C. Richard (2014). Distributed image reconstruction for very large arrays in radio astronomy. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

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D. Mary, A. Ferrari (2014). A Non-Asymptotic Standardization of Binomial Counts in Higher Criticism. IEEE International Symposium on Information Theory (ISIT).

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R. F. R. Suleiman, D. Mary, A. Ferrari (2014). Subspace learning in minimax detection. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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A. Schutz, M. Vannier, D. Mary, A. Ferrari, F. Millour, R. Petrov (2014). Statistical characterisation of polychromatic absolute and differential squared visibilities obtained from AMBER/VLTI instrument. Astronomy and Astrophysics.

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D. Mary, A. Ferrari, R. F. R. Suleiman (2014). Détection de sources astrophysiques dans les données du spectrographe integral de champ MUSE. Colloque de la Société Française de Photogrammétrie et Télédétection.

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R. F. R. Suleiman, D. Mary, A. Ferrari (2013). Parcimonie, apprentissage et classification pour une approche minimax en détection. GRETSI.

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A. Ferrari, C. Richard, D. Mary (2013). Group Lasso avec contraintes de positivité et de somme unité pour le dé mé lange non-supervisé des images hyperspectrales. GRETSI.

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A. Schutz, M. Vannier, D. Mary, A. Ferrari (2013). Distribution des observables en interférométrie optique polychromatique et impact sur la reconstruction d'images. GRETSI.

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J. Chen, C. Richard, A. Ferrari, P. Honeine (2013). Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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P. Djuric, A. Ferrari (2013). Models with products of Dirichlet processes. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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S. Paris, R. F. R. Suleiman, D. Mary, A. Ferrari (2013). Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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R. F. R. Suleiman, D. Mary, A. Ferrari (2013). Back to Results Minimax sparse detection based on one-class classifiers. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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J. -P. Folcher, M. Carbillet, A. Ferrari, A. Abelli (2013). New Concepts in Imaging: Optical and Statistical Models. EAS Publications Series.

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S. Paris, D. Mary, A. Ferrari (2013). Detection Tests Using Sparse Models, With Application to Hyperspectral Data. IEEE Transactions on Signal Processing.

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P. Djuric, A. Ferrari (2012). Classification of multivariate data using Dirichlet process mixture models. Signals, Systems and Computers (ASILOMAR).

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Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, A. Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramirez-Cobo (2012). Stationnarité Relative et Approches Connexes. Traitement du signal.

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I. Smith, A. Ferrari (2012). Generalization of the posterior distribution of the likelihood ratio to composite vs composite hypotheses testing. ISBA, International Society for Bayesian Analysis.

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A. Abelli, A. Ferrari, S. Monaco, C. Richard (2012). Adaptive inverse control using kernel identification. American Control Conference (ACC).

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Silvia Paris, David Mary, A. Ferrari (2012). MAP-based sparse detection strategies. Application to the hyperspectral data of the MUSE instrument.. Astronomical Data Analysys, ADA VII.

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Pierre Borgnat, Patrick Flandrin, Cédric Richard, A. Ferrari, Hassan Amoud, Paul Honeine (2012). Advances in Machine Learning and Data Mining for Astronomy. Chapman and Hall.

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S. Paris, D. Mary, A. Ferrari (2011). PDR and LRMAP detection tests applied to massive hyperspectral data. International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

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S. Paris, D. Mary, A. Ferrari (2011). Sur des tests d'hypothèses composites pour des paramètres parcimonieux. GRETSI.

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S. Paris, D. Mary, A. Ferrari, S. Bourguignon (2011). Sparsity-based composite detection tests. Application to astrophysical hyperspectral data. European Signal Processing Conference (EUSIPCO).

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S. Bourguignon, D. Mary, H. Carfantan, E. Slezak, A. Ferrari (2011). Restauration des cubes hyperspectraux du spectro-imageur MUSE. GRETSI.

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S. Paris, D. Mary, A. Ferrari (2011). Composite hypothesis tests for sparse parameters. IEEE Statistical Signal Processing Workshop.

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P. Borgnat, P. Flandrin, A. Ferrari, C. Richard (2011). Transitional surrogates. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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M. Carbillet, Ph. Bendjoya, L. Abe, G. Guerri, A. Boccaletti, J. -B. Daban, Kj. Dohlen, A. Ferrari, S. Robbe-Dubois, R. Douet, F. Vakili (2011). Apodized Lyot coronagraph for SPHERE/VLT. Experimental Astronomy.

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O. Besson, A. Ferrari (2011). Digital Spectral Analysis: Parametric, Non-Parametric and Advanced Methods. Wiley-ISTE.

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A. Ferrari, C. Richard, I. Smith, C. Theys (2010). Transductive kernel matrix learning with hierarchic Bayesian model, application to hyperspectral images. IGARSS.

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I. Smith, A. Ferrari (2010). The Posterior distribution of the Likelihood Ratio as a measure of evidence. Maxent.

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J. -P. Folcher, A. Abelli, A. Ferrari, M. Carbillet (2010). Some results on disturbance rejection control for an adaptive optics system. Semaine de l’Astrophysique Fran ̧caise, SF2A.

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F. Benvenuto, A. Ferrari (2010). Joint myopic deconvolution. Inverse Problems.

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C. Richard, P. Honeine, H. Snoussi, A. Ferrari, C. Theys (2010). Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking. IGARSS.

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A. Vigan, C. Moutou, M. Langlois, D. Mouillet, K. Dohlen, A. Boccaletti, M. Carbillet, I. Smith, A. Ferrari, L. Mugnier, C. Thalmann (2010). Comparison of methods for detection and characterization of exoplanets with SPHERE/IRDIS. SPIE, Astronomical Telescopes and Instrumentation.

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A. Abelli, J-P Folcher, A. Ferrari, M. Carbillet (2010). Classic adaptive optics: disturbance rejection control. SPIE, Astronomical Telescopes and Instrumentation.

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I Smith, A. Ferrari (2010). Bayesian detection with the posterior distribution of the likelihood ratio. European Signal Processing Conference (EUSIPCO).

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I. Smith, A. Ferrari, M. Carbillet (2009). Detection of a moving source in speckle noise. Application to exoplanet detection. IEEE Transactions on Signal Processing.

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F. Chatelain, A. Ferrari, J. -Y. Tourneret (2009). Lois de Poisson mélangées multivariées : application à la détection en présence de speckles. Traitement du Signal.

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I Smith, A. Ferrari (2009). Detection from a multi-channel sensor using a hierarchical Bayesian model. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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I. Smith, A. Ferrari (2009). Détection d'exoplanètes par imagerie directe, une approche Bayesienne. GRETSI.

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R. Soummer, L. Pueyo, A. Ferrari, C. Aime, A. Sivaramakrishnan, N. Yaitskova (2009). Apodized pupil Lyot coronagraphs for arbitrary apertures. II. theoretical properties and application to extremely large telescopes.. The Astrophysical Journal.

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A. Ferrari, C. Aime, R. Soummer (2009). Analytical computation of the Lyot coronagraph response to an extended source. Journal of the Optical Society of America.

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F. Benvenuto, A. La Camera, C. Theys, A. Ferrari, H. Lantéri, M. Bertero (2008). The study of an iterative method for the reconstruction of images corrupted by Poisson and Gaussian noise. Inverse Problems.

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M. Carbillet, A. Boccaletti, C. Thalmann, T. Fusco, A. Vigan, I. Smith, D. Mouillet, K. Dohlen, P. Bendjoya, A. Ferrari (2008). The Software Package SPHERE: a CAOS-based numerical tool for end-to-end simulations of SPHERE/VLT. SPIE, Astronomical Telescopes and Instrumentation.

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I. Smith, M. Carbillet, A. Ferrari, D. Mouillet, A. Boccaletti, K. Dohlen (2008). Simulation of moving exoplanets detection using the VLT instrument SPHERE/IRDIS. SPIE, Astronomical Telescopes and Instrumentation.

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I. Smith, A. Ferrari, M. Carbillet (2008). Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging.. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'08).

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A. Carlotti, C. Aime, J. Arnaud, M. Faurobert, A. Ferrari, C. Grec, G. Ricort (2008). Apodized apertures for solar coronagraphy. SPIE, Astronomical Telescopes and Instrumentation.

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R. Soummer, A. Ferrari (2007). Strehl ratio estimation and statistics in adaptive optics images. The Astrophysical Journal Letters.

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R. Soummer, A. Ferrari, C. Aime, L. Jolissaint (2007). Speckle noise and dynamic range in coronagraphic images. The Astrophysical Journal.

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A. Ferrari, G. Letac, J. -Y. Tourneret (2007). Exponential families of mixed Poisson distributions. Journal of Multivariate Analysis.

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F. Chatelain, A. Ferrari, J. -Y. Tourneret (2007). Détection d'exoplanètes à l'aide de méthodes des moments. GRETSI.

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F. Chatelain, J. Y. Tourneret, J. Inglada, A. Ferrari (2007). Bivariate Gamma Distributions for Image Registration and Change Detection. IEEE Transactions on Image Processing.

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A. Ferrari (2007). Analytical Analysis of Lyot Coronographs Response. The Astrophysical Journal.

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A. Ferrari, R. Soummer, C. Aime (2007). An introduction to stellar coronagraphy. Comptes Rendus de L’Académie des Sciences, Physiques.

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I. Smith, A. Ferrari, M. Carbillet, A. Boccaletti, T. Fusco, K. Dohlen, D. Mouillet, M. Langlois (2007). An exoplanet detection algorithm for field-rotated coronagraphic images, and preliminary results for SPHERE. Semaine de l’Astrophysique Fran ̧caise, SF2A.

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R. Soummer, C. Aime, A. Ferrari, A. Sivaramakrishnan, L. Jolissaint, B. Oppenheimer, J. Lloyd, R. Makidon, M. Carbillet, B. Macintosh (2006). Speckle statistics in direct and coronagraphic imaging. Proceedings of the IAU, Colloquium Vol. 200.

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F. Chatelain, A. Ferrari, J. -Y. Tourneret (2006). Parameter Estimation for Multivariate Mixed Poisson Distributions. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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F. Chatelain, J. -Y. Tourneret, J. Inglada, A. Ferrari (2006). Parameter estimation for multivariate Gamma distributions, application to image registration. European Signal Processing Conference (EUSIPCO).

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A. Ferrari, M. Carbillet, C. Aime, E. Serradel, R. Soummer (2006). Data Processing for Exoplanet Detection Using Direct Imaging. Proceedings of the IAU, Colloquium Vol. 200.

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A. Ferrari (2006). Astronomy with High Contrast Imaging III. EAS Publications Series.

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M. Carbillet, A. Ferrari, C. Aime (2006). Astronomy with High Contrast Imaging III. EAS Publications Series.

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R. Soummer, A. Ferrari, C. Aime, A. Sivaramakrishnan, B. R. Oppenheimer, R. Makidon, B. Macintosh (2006). Apodized Pupil Lyot Coronagraphs: Concepts and application to the Gemini Planet Imager. Proceedings of the IAU, Colloquium Vol. 200.

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J. -Y. Tourneret, A. Ferrari, G. Letac (2005). The Noncentral Wishart Distribution: Properties and Application to Speckle Imaging. IEEE Statistical Signal Processing Workshop.

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O. Besson, A. Ferrari (2005). Spectral Analysis: Parametric And Non-parametric Digital Methods. Iste Publishing Company.

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A. Ferrari, J. -Y. Tourneret, C. Aime (2005). Analyse Statistique de la Détection de Planète par Imagerie Directe. GRETSI.

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J. -Y. Tourneret, A. Ferrari, F. Goudail, P. Réfrégier (2005). A UMP Unbiaised test for target Detection in Active Coherent Images. Physics in Signal and Image Processing.

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A. Ferrari (2004). Traitement statistique du signal et applications à quelques problèmes d'Astrophysique.

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G. Alengrin, A. Ferrari (2004). Signaux Aléatoires, Modélisation Estimation Détection. Hermes.

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O. Michel, A. Hero, A. Ferrari (2004). Signaux Aléatoires, Modélisation Estimation Détection. Hermes.

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A. Ferrari, G. Letac, J. -Y. Tourneret (2004). Multivariate Mixed Poisson distributions. European Signal Processing Conference (EUSIPCO).

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Y. Cavallin, A. Ferrari (2004). Fringe visibility estimation in Michelson stellar interferometry: asymptotic performances. Journal of Optics A: Pure and Applied Optics.

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A. Ferrari, J. -Y. Tourneret (2004). Detection Performance for Discrete Test Statistics. Application to Low-Flux Imagery. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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J. -Y. Tourneret, A. Ferrari, A. Swami (2004). Cramer-Rao Lower Bounds in Additive and Multiplicative Noise. EURASIP Signal Processing.

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Y. Cavallin, A. Ferrari (2003). Etude des performances asymptotiques en interféromt́rie des tavelures. GRETSI.

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A. Ferrari, J. -Y. Tourneret (2003). Barankin Lower bound for change-points in independent sequences. IEEE Statistical Signal Processing Workshop.

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A. Ferrari, O. Michel, C. Aime (2003). Analysis of Flux Variation Detection in Poisson Processes, Application to Direct Detection of Extra-solar Planets. Physics in Signal and Image Processing.

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C. Aime, R. Soummer, A. Ferrari (2002). Total coronographic extinction of rectangular apertures using linear prolate apodizations. Astronomy and Astrophysics.

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A. Ferrari, Y. Cavallin, H. Lanteri (2002). Spectral Modes Estimation using Whittle-type Criterion, Applications to stellar speckle interferometry. European Signal Processing Conference (EUSIPCO).

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A. Ferrari, J. Y. Tourneret, G. Alengrin (2002). Parametric modeling of photometric signals. EURASIP Signal Processing.

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R. Soummer, C. Aime, A. Ferrari, P. Falloon (2002). Improvement of coronography using optimal apodizations. SPIE, Astronomical Telescopes and Instrumentation.

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A. Ferrari, Y. Cavallin (2002). Extension of Whittle likelihood to transient signal parameters estimation, application to stellar speckle interferometry. European Signal Processing Conference (EUSIPCO).

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J. -Y. Tourneret, A. Ferrari, G. Letac (2002). Changepoint detection in multivariate Poisson distributions. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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O. Michel, A. Ferrari (2002). Astronomy with High Contrast Imaging. EAS Publications Series.

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O. Besson, A. Ferrari (2002). Analyse Spectrale. Hermes.

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C. Theys, A. Ferrari, M. Vieira (2001). Marginal Bayesian analysis of Polynomial-Phase Signals. EURASIP Signal Processing.

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E. Grivel, A. Ferrari, O. Cappé (2001). Le modèle harmonique stochastique et son application au rehaussement de signal de parole. GRETSI.

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C. Aime, R. Soummer, A. Ferrari (2001). Interferometric apodization of rectangular apertures. Application to stellar coronography. Astronomy and Astrophysics.

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A. Ferrari, C. Aime (2001). Étude Statistique de la Détection d'Exo-Planètes en Imagerie Courte Pose. GRETSI.

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A. Ferrari, G. Alengrin (2000). Statistical Analysis of SMF Algorithm for Polynomial Phase Signal Analysis. IEEE Statistical Signal and Array Processing Workshop.

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A. Ferrari, J. Y. Tourneret (2000). Statistical Analysis of a Parametric Model for Photometric Signals. European Signal Processing Conference (EUSIPCO).

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J. Y. Tourneret, A. Ferrari (2000). Cramer-Rao Lower Bound on Parameters of Abrupt Changes Corrupted by Additive and Multiplicative Noise. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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A. Ferrari, F. -X. Schmider, G. Alengrin (1999). Parametric representation of helioseismic data. Part 1: a method for estimation of mode correlation. Astronomy and Astrophysics.

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A. Ferrari, F. X. Schmider, M. Cercos, B. Gelly (1999). Estimation Spectrale Paramétrique de Modes Corréllés, Application à l'Héliosismologie. GRETSI.

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A. Ferrari, J. Y. Tourneret, F. -X. Schmider (1999). Detection of extra solar planets using parametric modeling. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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A. Ferrari, G. Alengrin, M. Benidir (1999). Analyse Statistique de SMF pour l'étude des signaux à phase polynômiale. GRETSI.

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F. -X. Schmider, A. Ferrari, B. Gelly, G. Alengrin, D. Mouret (1998). Parametric Estimation of Correlation in Solar Oscillations. SOHO 6/GONG 98 Workshop.

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A. Ferrari, G. Alengrin (1998). AR Spectral Analysis with Random Missing Observations. IEEE Statistical Signal and Array Processing Workshop.

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D. Mouret, B. Gelly, A. Ferrari, F. X. Schmider, P. L. Palle, The GOLF Team (1998). A Parametric Model of the Solar Full-disk Seismological Signal. SOHO 6/GONG 98 Workshop.

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A. Ferrari, J. Y. Tourneret, G. Alengrin (1997). Spectral Estimation of a Gaussian Signal Sampled with Jitter. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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J. Y. Tourneret, A. Ferrari, B. Lacaze (1997). Sampling Jitter Detection using Higher-Order Statistics. IEEE High Order Statistics workshop.

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A. Ferrari, C. Bérenguer, G. Alengrin (1997). Doppler Ambiguity Resolution Using Multiple PRF. IEEE Transactions on Aerospace and Electronic Systems.

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M. Vieira, C. Theys, A. Ferrari (1997). Détection bayésienne de saut de fréquence par des méthodes MCMC. GRETSI.

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C. Theys, M. Vieira, A. Ferrari (1997). Bayesian Estimation of the Parameters of a Polynomial Phase Signal using MCMC methods. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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A. Ferrari, C. Theys, G. Alengrin (1996). Stationary moments of a polynomial phase signal, application to parameter estimation. European Signal Processing Conference (EUSIPCO).

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A. Ferrari, C. Theys, G. Alengrin (1996). Polynomial phase signal analysis using stationary moments. EURASIP Signal Processing.

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C. Theys, A. Ferrari, G. Alengrin (1996). Detection and Estimation of Changes in a Polynomial-Phase Signal using the DPPT. European Signal Processing Conference (EUSIPCO).

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C. Bérenguer, A. Ferrari, G. Alengrin (1995). Optimization of Sampling Instants for Non Ambiguous Radar Doppler Frequency Estimation. Workshop on Sampling Theory and Applications.

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A. Ferrari, G. Alengrin, C. Theys (1995). Doppler Ambiguity Resolution Using Staggered PRF with a New Chirp Sweep Rate Estimation Algorithm. IEE Proceedings - Part F Radar, Sonar, Navigation.

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C. Theys, A. Ferrari, G. Alengrin (1995). Détection Séquentielle de Sauts dans les Paramètres d'un Signal à Fréquence Polynomiale. GRETSI.

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A. Ferrari, R. Lorion, G. Alengrin (1995). A parametric model for the quadratic sampling of a bandlimited signal. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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A. Ferrari, G. Alengrin (1994). High Order Ergodicity of a Complex Sinusoidal Process. IEEE Transactions on Information Theory.

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C. Theys, A. Ferrari, G. Alengrin (1994). Detection and Estimation of Simultaneous Multiple Phase or Amplitude Jumps in Noisy Sinusoidal Processes. IEEE Conference on Decision and Control.

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C. Bérenguer, A. Ferrari (1994). Blind Bursts Handling in Doppler Ambiguity Resolution for Multiple PRF Radar. International Conference on Radar-RADAR'94.

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C. Bérenguer, C. Theys, A. Ferrari, G. Alengrin (1993). Overdetermined Noise Compensation Without Eigendecomposition for Frequency Estimation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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A. Ferrari, E. A. Galperin (1993). Numerical Experiments with One Dimensional Adaptive Cubic Algorithm. Computers & Mathematics with Applications.

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A. Ferrari, C. Bérenguer, M. Artaud (1993). Estimation Doppler Radar Non Ambigüe. GRETSI.

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C. Bérenguer, A. Ferrari, L. Martinet (1993). Cartographie Doppler et Détection de Cibles Radar. GRETSI.

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A. Ferrari, E. A. Galperin (1992). Numerical Experiments with One Dimensional Adaptive Cubic Algorithm. Fourth SIAM Conference on Optimization.

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A. Ferrari, G. Alengrin, J. Ménez (1992). New Approach to Estimation of the Frequency of a Noisy Cisoid. European Signal Processing Conference (EUSIPCO).

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A. Ferrari, G. Alengrin, T. Pitarque (1992). Improvements of a State-Space Iterative Noise Reduction Algorithm for Harmonic Retrieval. IEEE Transactions on Acoustics, Speech and Signal Processing.

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A. Ferrari, G. Alengrin, C. Theys (1992). Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies - Application to SONAR Multipath Delay Estimation. European Signal Processing Conference (EUSIPCO).

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A. Ferrari, G. Alengrin, C. Theys (1992). Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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T. Pitarque, A. Ferrari, C. Theys, J. Ménez (1992). Detection of changes in a nonstationary signal using a time varying AR modelling. International Conference on Digital Signal Processing.

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A. Ferrari (1992). Contribution à l'Etude et au Développement de Méthodes ``Haute Résolution'' en Analyse Spectrale.

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A. Ferrari, G. Alengrin (1991). Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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A. Ferrari, G. Alengrin (1991). Estimation de la fréquence fondamentale d'une somme bruitée de cisoides de fréquence harmonique. GRETSI.

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C. Theys, A. Ferrari, M. Le Dard, T. Pitarque (1991). Détection de trajets multiples se signaux sonar par modélisation évolutive. GRETSI.

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A. Ferrari, J. Ménez, G. Alengrin (1991). A single frequency efficient estimator. Electronics letters.

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T. Pitarque, G. Alengrin, J. Ménez A. Ferrari (1991). A new state-space algorithm for computing the frequencies of sinusoids in white noise. EURASIP Signal Processing.

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T. Pitarque, G. Alengrin, A. Ferrari (1990). Spectral estimation methods avoiding eigenvector decomposition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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G. Alengrin, J. Ménez, A. Ferrari (1990). A state space approach for computing Pisarenko's frequencies. European Signal Processing Conference (EUSIPCO).

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