2016 (11)
The 2016 Interferometric Imaging Beauty Contest. Sanchez-Bermudez, J.; anf K.-H. Hofmann, É T.; Heininger, M.; Schertl, D.; Weigelt, G.; Millour, F.; Schutz, A.; Ferrari, A.; Vannier, M.; Mary, D.; and Young, J. jul 2016.
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Fast and robust exo-planet detection in multi-spectral, multi-temporal data. Soulez, F.; Thiébaut, É; Kluska, J.; Tallon, M.; Schutz, A.; and \mkbibboldA. Ferrari jul 2016.
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Fast and robust exo-planet detection in multi-spectral, multi-temporal data. Thiébaut, É; Denis, L.; Mugnier, L.; \mkbibboldA. Ferrari; Mary, D.; Langlois, M.; Cantalloube, F.; and Devaney, N. jul 2016.
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Interbands phase models for polychromatic image reconstruction in optical interferometry. Schutz, A.; \mkbibboldA. Ferrari; Thiébaut, É; Soulez, F.; Vannier, M.; and Mary, D. jul 2016.
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Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques. Fuertes, S.; Picart, G.; Tourneret, J.; Chaari, L.; \mkbibboldA. Ferrari; and Richard, C. In International Conference on Space Operations (SpaceOps), Daejeon, Korea, may 2016. American Institute of Aeronautics and Astronautics (AIAA)
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Fast and robust detection of a known pattern in an image. Denis, L.; \mkbibboldA. Ferrari; Mary, D.; Mugnier, L.; and Thiébaut, É. In European Signal Processing Conference (EUSIPCO), Budapest, sep 2016.
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Distributed Multi-Frequency Image Reconstruction For Radio-Interferometry. Deguignet, J.; \mkbibboldA. Ferrari; Mary, D.; and Ferrari, C. In European Signal Processing Conference (EUSIPCO), Budapest, sep 2016.
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Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions. Ammanouil, R.; \mkbibboldA. Ferrari; Richard, C.; and Tournere, J. Y. In IEEE Statistical Signal Processing Workshop (SSP), pages 1-5, June 2016.
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Unsupervised neighbor dependent nonlinear unmixing. Ammanouil, R.; \mkbibboldA. Ferrari; and Richard, C. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1437-1441, March 2016.
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  2015 (7)
Multi-frequency image reconstruction for radio interferometry. A regularized inverse problem approach. \mkbibboldA. Ferrari; Deguignet, J.; Mary, D.; Ferrari, C.; and Smirnov, O. jul 2015.
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Modèle non-linéaire et semi-paramétrique pour le démélange non-supervisé d'images hyperspectrales. Ammanouil, R.; \mkbibboldA. Ferrari; and Richard, C. In GRETSI, Lyon, sep 2015.
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Estimation distribuée sur les réseaux multit\^aches en présence d'échanges d'informations bruitées. Nassif, R.; Richard, C.; and \mkbibboldA. Ferrari In GRETSI, Lyon, sep 2015.
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Hyperspectral data unmixing with graph-based regularization. Ammanouil, R.; \mkbibboldA. Ferrari; and Richard, C. In IEEE workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, jun 2015.
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Large scale 3D image reconstruction in optical interferometry. Schutz, A.; \mkbibboldA. Ferrari; Mary, D.; Thiébaut, É; and Soulez, F. In European Signal Processing Conference (EUSIPCO), Nice, sep 2015.
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Multitask diffusion LMS with sparsity-based regularization. Nassif, R.; Richard, C.; \mkbibboldA. Ferrari; and Sayed, A. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, apr 2015.
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A graph Laplacian regularization for hyperspectral data unmixing. Ammanouil, R.; \mkbibboldA. Ferrari; and Richard, C. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, apr 2015.
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  2014 (7)
GLUP: yet another algorithm for blind unmixing of hyperspectral data. Ammanouil, R.; \mkbibboldA. Ferrari; Richard, C.; and Mary, D. jun 2014.
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Détection de sources astrophysiques dans les données du spectrographe integral de champ MUSE. Mary, D.; \mkbibboldA. Ferrari; and Suleiman, R. may 2014.
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Distributed image reconstruction for very large arrays in radio astronomy. \mkbibboldA. Ferrari; Mary, D.; Flamary, R.; and Richard, C. In IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), pages 389–392, A Coruna, jun 2014.
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A Non-Asymptotic Standardization of Binomial Counts in Higher Criticism. Mary, D.; and \mkbibboldA. Ferrari In IEEE International Symposium on Information Theory (ISIT), pages 561–565, Honolulu, HI, jun 2014.
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Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument. Mary, D.; \mkbibboldA. Ferrari; and Paris, S. In IEEE International Conference on Image Processing (ICIP), pages 6031–6035, oct 2014.
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Subspace learning in minimax detection. Suleiman, R.; Mary, D.; and \mkbibboldA. Ferrari In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3062–3066, Florence, may 2014.
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Performance analysis of multitask diffusion adaptation over asynchronous networks. Nassif, R.; Richard, C.; \mkbibboldA. Ferrari; and Sayed, A. In Signals, Systems and Computers (ASILOMAR), Pacific Grove, CA, nov 2014.
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  2013 (7)
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. Chen, J.; Richard, C.; \mkbibboldA. Ferrari; and Honeine, P. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2174–2178, Vancouver, BC, may 2013.
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Back to Results Minimax sparse detection based on one-class classifiers. Suleiman, R.; Mary, D.; and \mkbibboldA. Ferrari In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 5553–5557, Vancouver, BC, may 2013.
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Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data. Paris, S.; Suleiman, R.; Mary, D.; and \mkbibboldA. Ferrari In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3947–3951, Vancouver, BC, may 2013.
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Models with products of Dirichlet processes. Djuric, P.; and \mkbibboldA. Ferrari In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3382–3386, Vancouver, BC, may 2013.
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Distribution des observables en interférométrie optique polychromatique et impact sur la reconstruction d'images. Schutz, A.; Vannier, M.; Mary, D.; and \mkbibboldA. Ferrari In GRETSI, Brest, sep 2013.
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Parcimonie, apprentissage et classification pour une approche minimax en détection. Suleiman, R.; Mary, D.; and \mkbibboldA. Ferrari In GRETSI, Brest, sep 2013.
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Group Lasso avec contraintes de positivité et de somme unité pour le dé mé lange non-supervisé des images hyperspectrales. \mkbibboldA. Ferrari; Richard, C.; and Mary, D. In GRETSI, Brest, sep 2013.
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  2012 (4)
Generalization of the posterior distribution of the likelihood ratio to composite vs composite hypotheses testing. Smith, I.; and \mkbibboldA. Ferrari jun 2012.
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Classification of multivariate data using Dirichlet process mixture models. Djuric, P.; and \mkbibboldA. Ferrari In Signals, Systems and Computers (ASILOMAR), pages 441–445, Pacific Grove, CA, nov 2012.
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MAP-based sparse detection strategies. Application to the hyperspectral data of the MUSE instrument. Paris, S.; Mary, D.; and \mkbibboldA. Ferrari may 2012.
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Adaptive inverse control using kernel identification. Abelli, A.; \mkbibboldA. Ferrari; Monaco, S.; and Richard, C. In American Control Conference (ACC), pages 202–207, Montreal, QC, jun 2012.
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  2011 (6)
PDR and LRMAP detection tests applied to massive hyperspectral data. Paris, S.; Mary, D.; and \mkbibboldA. Ferrari In International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pages 93–96, San Juan, Puerto Rico, dec 2011.
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Sur des tests d'hypothèses composites pour des paramètres parcimonieux. Paris, S.; Mary, D.; and \mkbibboldA. Ferrari In GRETSI, Bordeaux, sep 2011.
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Restauration des cubes hyperspectraux du spectro-imageur MUSE. Bourguignon, S.; Mary, D.; Carfantan, H.; Slezak, E.; and \mkbibboldA. Ferrari In GRETSI, Bordeaux, sep 2011.
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Sparsity-based composite detection tests. Application to astrophysical hyperspectral data. Paris, S.; Mary, D.; \mkbibboldA. Ferrari; and Bourguignon, S. In European Signal Processing Conference (EUSIPCO), Barcelona, Spain, sep 2011.
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Transitional surrogates. Borgnat, P.; Flandrin, P.; \mkbibboldA. Ferrari; and Richard, C. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3600–3603, Prague, Czech Republic, may 2011.
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Composite hypothesis tests for sparse parameters. Paris, S.; Mary, D.; and \mkbibboldA. Ferrari In IEEE Statistical Signal Processing Workshop, pages 737–740, Nice, jun 2011.
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  2010 (7)
Some results on disturbance rejection control for an adaptive optics system. Folcher, J.; Abelli, A.; \mkbibboldA. Ferrari; and Carbillet, M. In Semaine de l'Astrophysique Fran ̧caise, SF2A, pages 71–72, 2010.
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Bayesian detection with the posterior distribution of the likelihood ratio. Smith, I; and \mkbibboldA. Ferrari In European Signal Processing Conference (EUSIPCO), Aalborg, Denmark, 2010.
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The Posterior distribution of the Likelihood Ratio as a measure of evidence. Smith, I.; and \mkbibboldA. Ferrari In Maxent, 2010.
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Classic adaptive optics: disturbance rejection control. Abelli, A.; Folcher, J.; \mkbibboldA. Ferrari; and Carbillet, M. In SPIE, Astronomical Telescopes and Instrumentation, San Diego, 2010.
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Comparison of methods for detection and characterization of exoplanets with SPHERE/IRDIS. Vigan, A.; Moutou, C.; Langlois, M.; Mouillet, D.; Dohlen, K.; Boccaletti, A.; Carbillet, M.; Smith, I.; \mkbibboldA. Ferrari; Mugnier, L.; and Thalmann, C. In SPIE, Astronomical Telescopes and Instrumentation, San Diego, 2010.
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Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking. Richard, C.; Honeine, P.; Snoussi, H.; \mkbibboldA. Ferrari; and Theys, C. In IGARSS, Hawaii, 2010.
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Transductive kernel matrix learning with hierarchic Bayesian model, application to hyperspectral images. \mkbibboldA. Ferrari; Richard, C.; Smith, I.; and Theys, C. 2010.
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  2009 (2)
Détection d'exoplanètes par imagerie directe, une approche Bayesienne. Smith, I.; and \mkbibboldA. Ferrari In GRETSI, Dijon, 2009.
Détection d'exoplanètes par imagerie directe, une approche Bayesienne [pdf]Paper   bibtex
Detection from a multi-channel sensor using a hierarchical Bayesian model. Smith, I; and \mkbibboldA. Ferrari In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, 2009.
Detection from a multi-channel sensor using a hierarchical Bayesian model [pdf]Paper   bibtex
  2008 (4)
The Software Package SPHERE: a CAOS-based numerical tool for end-to-end simulations of SPHERE/VLT. Carbillet, M.; Boccaletti, A.; Thalmann, C.; Fusco, T.; Vigan, A.; Smith, I.; Mouillet, D.; Dohlen, K.; Bendjoya, P.; and \mkbibboldA. Ferrari In SPIE, Astronomical Telescopes and Instrumentation, volume 7015, Marseille, 2008.
The Software Package SPHERE: a CAOS-based numerical tool for end-to-end simulations of SPHERE/VLT [pdf]Paper   bibtex
Apodized apertures for solar coronagraphy. Carlotti, A.; Aime, C.; Arnaud, J.; Faurobert, M.; \mkbibboldA. Ferrari; Grec, C.; and Ricort, G. In SPIE, Astronomical Telescopes and Instrumentation, volume 7014, Marseille, 2008.
Apodized apertures for solar coronagraphy [pdf]Paper   bibtex
Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging. Smith, I.; \mkbibboldA. Ferrari; and Carbillet, M. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'08), 2008.
Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging. [pdf]Paper   bibtex
Simulation of moving exoplanets detection using the VLT instrument SPHERE/IRDIS. Smith, I.; Carbillet, M.; \mkbibboldA. Ferrari; Mouillet, D.; Boccaletti, A.; and Dohlen, K. In SPIE, Astronomical Telescopes and Instrumentation, volume 7015, Marseille, 2008.
Simulation of moving exoplanets detection using the VLT instrument SPHERE/IRDIS [pdf]Paper   bibtex
  2007 (2)
An exoplanet detection algorithm for field-rotated coronagraphic images, and preliminary results for SPHERE. Smith, I.; \mkbibboldA. Ferrari; Carbillet, M.; Boccaletti, A.; Fusco, T.; Dohlen, K.; Mouillet, D.; and Langlois, M. In Semaine de l'Astrophysique Fran ̧caise, SF2A, pages 1–4, Grenoble, 2007.
An exoplanet detection algorithm for field-rotated coronagraphic images, and preliminary results for SPHERE [pdf]Paper   bibtex
Détection d'exoplanètes à l'aide de méthodes des moments. Chatelain, F.; \mkbibboldA. Ferrari; and Tourneret, J. In GRETSI, Troyes, 2007.
Détection d'exoplanètes à l'aide de méthodes des moments [pdf]Paper   bibtex
  2006 (5)
Parameter Estimation for Multivariate Mixed Poisson Distributions. Chatelain, F.; \mkbibboldA. Ferrari; and Tourneret, J. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, 2006.
Parameter Estimation for Multivariate Mixed Poisson Distributions [pdf]Paper   bibtex
Apodized Pupil Lyot Coronagraphs: Concepts and application to the Gemini Planet Imager. Soummer, R.; \mkbibboldA. Ferrari; Aime, C.; Sivaramakrishnan, A.; Oppenheimer, B.; Makidon, R.; and Macintosh, B. In Proceedings of the IAU, Colloquium Vol. 200, pages 367–372, 2006.
Apodized Pupil Lyot Coronagraphs: Concepts and application to the Gemini Planet Imager [pdf]Paper   bibtex
Speckle statistics in direct and coronagraphic imaging. Soummer, R.; Aime, C.; \mkbibboldA. Ferrari; Sivaramakrishnan, A.; Jolissaint, L.; Oppenheimer, B.; Lloyd, J.; Makidon, R.; Carbillet, M.; and Macintosh, B. In Proceedings of the IAU, Colloquium Vol. 200, pages 581–586, 2006.
Speckle statistics in direct and coronagraphic imaging [pdf]Paper   bibtex
Data Processing for Exoplanet Detection Using Direct Imaging. \mkbibboldA. Ferrari; Carbillet, M.; Aime, C.; Serradel, E.; and Soummer, R. In Proceedings of the IAU, Colloquium Vol. 200, pages 565–569, 2006.
Data Processing for Exoplanet Detection Using Direct Imaging [pdf]Paper   bibtex
Parameter estimation for multivariate Gamma distributions, application to image registration. Chatelain, F.; Tourneret, J.; Inglada, J.; and \mkbibboldA. Ferrari In European Signal Processing Conference (EUSIPCO), Florence, 2006.
Parameter estimation for multivariate Gamma distributions, application to image registration [pdf]Paper   bibtex
  2005 (3)
The Noncentral Wishart Distribution: Properties and Application to Speckle Imaging. Tourneret, J.; \mkbibboldA. Ferrari; and Letac, G. In IEEE Statistical Signal Processing Workshop, 2005.
The Noncentral Wishart Distribution: Properties and Application to Speckle Imaging [pdf]Paper   bibtex
A UMP Unbiaised test for target Detection in Active Coherent Images. Tourneret, J.; \mkbibboldA. Ferrari; Goudail, F.; and Réfrégier, P. In Physics in Signal and Image Processing, 2005.
A UMP Unbiaised test for target Detection in Active Coherent Images [pdf]Paper   bibtex
Analyse Statistique de la Détection de Planète par Imagerie Directe. \mkbibboldA. Ferrari; Tourneret, J.; and Aime, C. In GRETSI, Louvain, 2005.
Analyse Statistique de la Détection de Planète par Imagerie Directe [pdf]Paper   bibtex
  2004 (2)
Multivariate Mixed Poisson distributions. \mkbibboldA. Ferrari; Letac, G.; and Tourneret, J. In European Signal Processing Conference (EUSIPCO), Vienna, 2004.
Multivariate Mixed Poisson distributions [pdf]Paper   bibtex
Detection Performance for Discrete Test Statistics. Application to Low-Flux Imagery. \mkbibboldA. Ferrari; and Tourneret, J. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Montreal, 2004.
Detection Performance for Discrete Test Statistics. Application to Low-Flux Imagery [pdf]Paper   bibtex
  2003 (3)
Analysis of Flux Variation Detection in Poisson Processes, Application to Direct Detection of Extra-solar Planets. \mkbibboldA. Ferrari; Michel, O.; and Aime, C. In Physics in Signal and Image Processing, 2003.
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Etude des performances asymptotiques en interférométrie des tavelures. Cavallin, Y.; and \mkbibboldA. Ferrari In GRETSI, Paris, 2003.
Etude des performances asymptotiques en interférométrie des tavelures [pdf]Paper   bibtex
Barankin Lower bound for change-points in independent sequences. \mkbibboldA. Ferrari; and Tourneret, J. In IEEE Statistical Signal Processing Workshop, St Louis, 2003. Erratum: in (4) the square in the denominator must be suppressed
Barankin Lower bound for change-points in independent sequences [pdf]Paper   bibtex
  2002 (4)
Improvement of coronography using optimal apodizations. Soummer, R.; Aime, C.; \mkbibboldA. Ferrari; and Falloon, P. In SPIE, Astronomical Telescopes and Instrumentation, volume 4860, Hawaii, 2002.
Improvement of coronography using optimal apodizations [pdf]Paper   bibtex
Extension of Whittle likelihood to transient signal parameters estimation, application to stellar speckle interferometry. \mkbibboldA. Ferrari; and Cavallin, Y. In European Signal Processing Conference (EUSIPCO), volume 3, pages 449–452, Toulouse, 2002.
Extension of Whittle likelihood to transient signal parameters estimation, application to stellar speckle interferometry [pdf]Paper   bibtex
Spectral Modes Estimation using Whittle-type Criterion, Applications to stellar speckle interferometry. \mkbibboldA. Ferrari; Cavallin, Y.; and Lanteri, H. In European Signal Processing Conference (EUSIPCO), volume 3, pages 151–154, Toulouse, 2002.
Spectral Modes Estimation using Whittle-type Criterion, Applications to stellar speckle interferometry [pdf]Paper   bibtex
Changepoint detection in multivariate Poisson distributions. Tourneret, J.; \mkbibboldA. Ferrari; and Letac, G. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), volume 2, pages 1573–1576, Orlando, 2002.
Changepoint detection in multivariate Poisson distributions [pdf]Paper   bibtex
  2001 (2)
Étude Statistique de la Détection d'Exo-Planètes en Imagerie Courte Pose. \mkbibboldA. Ferrari; and Aime, C. In GRETSI, Toulouse, 2001. Paper 256
Étude Statistique de la Détection d'Exo-Planètes en Imagerie Courte Pose [pdf]Paper   bibtex
Le modèle harmonique stochastique et son application au rehaussement de signal de parole. Grivel, E.; \mkbibboldA. Ferrari; and Cappé, O. In GRETSI, Toulouse, 2001. Paper 276
Le modèle harmonique stochastique et son application au rehaussement de signal de parole [pdf]Paper   bibtex
  2000 (3)
Cramer-Rao Lower Bound on Parameters of Abrupt Changes Corrupted by Additive and Multiplicative Noise. Tourneret, J.; and \mkbibboldA. Ferrari In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 285–288, Istanbul, 2000.
Cramer-Rao Lower Bound on Parameters of Abrupt Changes Corrupted by Additive and Multiplicative Noise [pdf]Paper   bibtex
Statistical Analysis of a Parametric Model for Photometric Signals. \mkbibboldA. Ferrari; and Tourneret, J. In European Signal Processing Conference (EUSIPCO), pages 1815–1818, Tampere, 2000.
Statistical Analysis of a Parametric Model for Photometric Signals [pdf]Paper   bibtex
Statistical Analysis of SMF Algorithm for Polynomial Phase Signal Analysis. \mkbibboldA. Ferrari; and Alengrin, G. In IEEE Statistical Signal and Array Processing Workshop, pages 276–278, Pocono Manor, 2000.
Statistical Analysis of SMF Algorithm for Polynomial Phase Signal Analysis [pdf]Paper   bibtex
  1999 (3)
Analyse Statistique de SMF pour l'étude des signaux à phase polyn\^omiale. \mkbibboldA. Ferrari; Alengrin, G.; and Benidir, M. In GRETSI, pages 243–246, Vannes, 1999.
Analyse Statistique de SMF pour l'étude des signaux à phase polyn\^omiale [pdf]Paper   bibtex
Detection of extra solar planets using parametric modeling. \mkbibboldA. Ferrari; Tourneret, J.; and Schmider, F. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1369–1372, Phoenix, 1999.
Detection of extra solar planets using parametric modeling [pdf]Paper   bibtex
Estimation Spectrale Paramétrique de Modes Corréllés, Application à l'Héliosismologie. \mkbibboldA. Ferrari; Schmider, F.; Cercos, M.; and Gelly, B. In GRETSI, pages 359–362, Vannes, 1999.
Estimation Spectrale Paramétrique de Modes Corréllés, Application à l'Héliosismologie [pdf]Paper   bibtex
  1998 (3)
A Parametric Model of the Solar Full-disk Seismological Signal. Mouret, D.; Gelly, B.; \mkbibboldA. Ferrari; Schmider, F.; Palle, P.; and the GOLF team In SOHO 6/GONG 98 Workshop, volume 1, pages 271–274, Boston, 1998.
A Parametric Model of the Solar Full-disk Seismological Signal [pdf]Paper   bibtex
AR Spectral Analysis with Random Missing Observations. \mkbibboldA. Ferrari; and Alengrin, G. In IEEE Statistical Signal and Array Processing Workshop, pages 320–323, Portland, 1998.
AR Spectral Analysis with Random Missing Observations [pdf]Paper   bibtex
Parametric Estimation of Correlation in Solar Oscillations. Schmider, F.; \mkbibboldA. Ferrari; Gelly, B.; Alengrin, G.; and Mouret, D. In SOHO 6/GONG 98 Workshop, volume 1, pages 1369–1372, Boston, 1998.
Parametric Estimation of Correlation in Solar Oscillations [pdf]Paper   bibtex
  1997 (4)
Sampling Jitter Detection using Higher-Order Statistics. Tourneret, J.; \mkbibboldA. Ferrari; and Lacaze, B. In IEEE High Order Statistics workshop, pages 448–452, Banff, 1997.
Sampling Jitter Detection using Higher-Order Statistics [pdf]Paper   bibtex
Spectral Estimation of a Gaussian Signal Sampled with Jitter. \mkbibboldA. Ferrari; Tourneret, J.; and Alengrin, G. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3977–3980, Munich, 1997.
Spectral Estimation of a Gaussian Signal Sampled with Jitter [pdf]Paper   bibtex
Détection bayésienne de saut de fréquence par des méthodes MCMC. Vieira, M.; Theys, C.; and \mkbibboldA. Ferrari In GRETSI, pages 1475–1478, Grenoble, 1997.
Détection bayésienne de saut de fréquence par des méthodes MCMC [pdf]Paper   bibtex
Bayesian Estimation of the Parameters of a Polynomial Phase Signal using MCMC methods. Theys, C.; Vieira, M.; and \mkbibboldA. Ferrari In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3553–3556, Munich, 1997.
Bayesian Estimation of the Parameters of a Polynomial Phase Signal using MCMC methods [pdf]Paper   bibtex
  1996 (2)
Stationary moments of a polynomial phase signal, application to parameter estimation. \mkbibboldA. Ferrari; Theys, C.; and Alengrin, G. In European Signal Processing Conference (EUSIPCO), pages 2069–2072, Trieste, 1996.
Stationary moments of a polynomial phase signal, application to parameter estimation [pdf]Paper   bibtex
Detection and Estimation of Changes in a Polynomial-Phase Signal using the DPPT. Theys, C.; \mkbibboldA. Ferrari; and Alengrin, G. In European Signal Processing Conference (EUSIPCO), pages 1445–1448, Trieste, 1996.
Detection and Estimation of Changes in a Polynomial-Phase Signal using the DPPT [pdf]Paper   bibtex
  1995 (3)
Détection Séquentielle de Sauts dans les Paramètres d'un Signal à Fréquence Polynomiale. Theys, C.; \mkbibboldA. Ferrari; and Alengrin, G. In GRETSI, pages 117–120, Grenoble, 1995.
Détection Séquentielle de Sauts dans les Paramètres d'un Signal à Fréquence Polynomiale [pdf]Paper   bibtex
Optimization of Sampling Instants for Non Ambiguous Radar Doppler Frequency Estimation. Bérenguer, C.; \mkbibboldA. Ferrari; and Alengrin, G. In Workshop on Sampling Theory and Applications, pages 177–182, Riga, 1995.
Optimization of Sampling Instants for Non Ambiguous Radar Doppler Frequency Estimation [link]Paper   bibtex
A parametric model for the quadratic sampling of a bandlimited signal. \mkbibboldA. Ferrari; Lorion, R.; and Alengrin, G. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1721–1724, Detroit, 1995.
A parametric model for the quadratic sampling of a bandlimited signal [pdf]Paper   bibtex
  1994 (2)
Blind Bursts Handling in Doppler Ambiguity Resolution for Multiple PRF Radar. Bérenguer, C.; and \mkbibboldA. Ferrari In International Conference on Radar-RADAR'94, pages 656–661, Paris, 1994.
Blind Bursts Handling in Doppler Ambiguity Resolution for Multiple PRF Radar [pdf]Paper   bibtex
Detection and Estimation of Simultaneous Multiple Phase or Amplitude Jumps in Noisy Sinusoidal Processes. Theys, C.; \mkbibboldA. Ferrari; and Alengrin, G. In IEEE Conference on Decision and Control, pages 753–755, Orlando, 1994.
Detection and Estimation of Simultaneous Multiple Phase or Amplitude Jumps in Noisy Sinusoidal Processes [pdf]Paper   bibtex
  1993 (3)
Overdetermined Noise Compensation Without Eigendecomposition for Frequency Estimation. Bérenguer, C.; Theys, C.; \mkbibboldA. Ferrari; and Alengrin, G. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 245–251, Minneapolis, 1993.
Overdetermined Noise Compensation Without Eigendecomposition for Frequency Estimation [pdf]Paper   bibtex
Estimation Doppler Radar Non Ambigüe. \mkbibboldA. Ferrari; Bérenguer, C.; and Artaud, M. In GRETSI, pages 1135–1138, Juan Les Pins, 1993.
Estimation Doppler Radar Non Ambigüe [pdf]Paper   bibtex
Cartographie Doppler et Détection de Cibles Radar. Bérenguer, C.; \mkbibboldA. Ferrari; and Martinet, L. In GRETSI, pages 1183–1186, Juan les Pins, 1993.
Cartographie Doppler et Détection de Cibles Radar [pdf]Paper   bibtex
  1992 (5)
Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies - Application to SONAR Multipath Delay Estimation. \mkbibboldA. Ferrari; Alengrin, G.; and Theys, C. In European Signal Processing Conference (EUSIPCO), pages 709–712, Bruxelles, 1992.
Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies - Application to SONAR Multipath Delay Estimation [pdf]Paper   bibtex
Detection of changes in a nonstationary signal using a time varying AR modelling. Pitarque, T.; \mkbibboldA. Ferrari; Theys, C.; and Ménez, J. In International Conference on Digital Signal Processing, pages 81–85, Firenze, 1992.
Detection of changes in a nonstationary signal using a time varying AR modelling [pdf]Paper   bibtex
Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies. \mkbibboldA. Ferrari; Alengrin, G.; and Theys, C. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 517–520, San Francisco, 1992.
Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies [pdf]Paper   bibtex
New Approach to Estimation of the Frequency of a Noisy Cisoid. \mkbibboldA. Ferrari; Alengrin, G.; and Ménez, J. In European Signal Processing Conference (EUSIPCO), pages 767–770, Bruxelles, 1992.
New Approach to Estimation of the Frequency of a Noisy Cisoid [pdf]Paper   bibtex
Numerical Experiments with One Dimensional Adaptive Cubic Algorithm. \mkbibboldA. Ferrari; and Galperin, E. In Fourth SIAM Conference on Optimization, Chicago, 1992.
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  1991 (3)
Estimation de la fréquence fondamentale d'une somme bruitée de cisoides de fréquence harmonique. \mkbibboldA. Ferrari; and Alengrin, G. In GRETSI, pages 265–268, Juan les Pins, 1991.
Estimation de la fréquence fondamentale d'une somme bruitée de cisoides de fréquence harmonique [pdf]Paper   bibtex
Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics. \mkbibboldA. Ferrari; and Alengrin, G. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3457–3460, Toronto, 1991.
Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics [pdf]Paper   bibtex
Détection de trajets multiples se signaux sonar par modélisation évolutive. Theys, C.; \mkbibboldA. Ferrari; Dard, M. L.; and Pitarque, T. In GRETSI, pages 633–636, Juan les Pins, 1991.
Détection de trajets multiples se signaux sonar par modélisation évolutive [pdf]Paper   bibtex
  1990 (2)
A state space approach for computing Pisarenko's frequencies. Alengrin, G.; Ménez, J.; and \mkbibboldA. Ferrari In European Signal Processing Conference (EUSIPCO), pages 325–328, Barcelona, 1990.
A state space approach for computing Pisarenko's frequencies [pdf]Paper   bibtex
Spectral estimation methods avoiding eigenvector decomposition. Pitarque, T.; Alengrin, G.; and \mkbibboldA. Ferrari In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2547–2550, Albuquerque, 1990.
Spectral estimation methods avoiding eigenvector decomposition [pdf]Paper   bibtex