Frederic Pascal

Laboratoire Laboratoire Signaux et Systèmes

frederic.pascal [at] centralesupelec.fr

Résumé :

  • Frédéric Pascal received the Master's degree ("Probabilities, Statistics and Applications: Signal, Image et Networks") with merit, in Applied Maths from University Paris VII - Jussieu, France, in 2003. Then, he received the Ph.D. degree of Signal Processing, from University Paris X Nanterre in 2006. From 2007 to 2008, he made a post-doctoral position in the SATIE laboratory, CNRS, ENS Cachan, France. Between 2008 and 2011 (resp. 2012 2013), he was an Assistant (resp. Associate) Professor in SONDRA at CentraleSupélec. In 2012, he obtained a Research Directorship Habilitation (HDR) thesis in Signal Processing from the University of Paris-Sud. Between 2013 and 2014, he was a Visiting Associate Professor in the ECE department at NUS, Singapore. From 2014, he is a full Professor in the L2S lab at CentraleSupélec. From 2017, he is the head of the Signals and Statistics group. He is also the coordinator of datascience/AI activities at CentraleSupélec and the chair holder of the Givaudan datascience chair. From 2017, he is in the Executive Committee of the DATAIA institute as the Program Coordinator. From 2015 to 2017, Frederic Pascal was the Chair of the EURASIP TMTSP SAT and he is a member of the IEEE SPS SAM technical committee (2015-present). Frederic Pascal serves as an Associate Editor for the IEEE TSP (2015-2018), for the EURASIP JASP (2015-present) and for Elsevier Signal Processing (2018-present). His research interests contain estimation, detection and classification for statistical signal processing and applications in radar and image processing. He is the author / coauthor of more than one hundred papers in the top journals and conferences in Signal Processing, Image Processing and Statistics.

En savoir plus sur Frederic Pascal

Publications :

  • Article dans une revue - 56 documents
    • Manon Mottier, Gilles Chardon, Frédéric Pascal. Deinterleaving RADAR emitters with optimal transport distances, 2024. (https://hal.science/hal-04473098)
    • Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal. A Flexible EM-like Clustering Algorithm for Noisy Data, 2023-11. (https://hal.science/hal-04366787)
    • Çagatay Candan, Frédéric Pascal. Covariance Matrix Estimation of Texture Correlated Compound-Gaussian Vectors for Adaptive Radar Detection, 2023-06. (https://centralesupelec.hal.science/hal-04014771)
    • Florian Mouret, Alexandre Hippert-Ferrer, Frédéric Pascal, Jean-Yves Tourneret. A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data, 2023-04-01. (https://ut3-toulouseinp.hal.science/hal-04317202)
    • Esa Ollila, Daniel Palomar, Frédéric Pascal. Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions, 2023. (https://hal.science/hal-04366796)
    • Stefano Fortunati, Alexandre Renaux, Frédéric Pascal. Joint Estimation of Location and Scatter in Complex Elliptical Distributions: A robust semiparametric and computationally efficient R-estimator of the shape matrix, 2022-02-01. (https://hal.science/hal-03223839)
    • Arnaud Breloy, Guillaume Ginolhac, Yongchan Gao, Frédéric Pascal. MIMO Filters based on Robust Rank-Constrained Kronecker Covariance Matrix Estimation, 2021-10. (https://hal.univ-grenoble-alpes.fr/hal-03273066)
    • Michael Muma, Esa Ollila, Frédéric Pascal. Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings, 2021-05. (https://centralesupelec.hal.science/hal-03436657)
    • Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Frédéric Pascal. A Riemannian Framework for Low-Rank Structured Elliptical Models, 2021. (https://hal.univ-grenoble-alpes.fr/hal-03273062)
    • Esa Ollila, Daniel Palomar, Frédéric Pascal. Shrinking the eigenvalues of M-estimators of covariance matrix, 2020-12-14. (https://centralesupelec.hal.science/hal-03105531)
    • Emmanuelle Jay, Thibault Soler, Eugénie Terreaux, Jean-Philippe Ovarlez, Frédéric Pascal, Philippe de Peretti, Christophe Chorro. Improving portfolios global performance using a cleaned and robust covariance matrix estimate, 2020-03-15. (https://hal.science/hal-02508748)
    • Stefano Fortunati, Alexandre Renaux, Frédéric Pascal. Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions, 2020. (https://hal.science/hal-02976900)
    • Gordana Drašković, Arnaud Breloy, Frédéric Pascal. On the performance of robust plug-in detectors using M-estimators, 2020. (https://hal.science/hal-02399618)
    • Gordana Draskovic, Frédéric Pascal, Florence Tupin. $M$ -NL: Robust NL-Means Approach for PolSAR Images Denoising, 2019-06. (https://centralesupelec.hal.science/hal-02186186)
    • Gordana Draskovic, Arnaud Breloy, Frédéric Pascal. On the Asymptotics of Maronna's Robust PCA, 2019. (https://hal.science/hal-02399630)
    • Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie. Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime, 2019. (https://hal.science/hal-02083430)
    • Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac. Performance of the Low-Rank Adaptive Normalized Matched Filter Test Under a Large Dimension Regime, 2019. (https://hal.science/hal-01825231)
    • Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini. Optimal Design of the Adaptive Normalized Matched Filter Detector, 2018-04-01. (https://hal.science/hal-01242462)
    • Frédéric Brigui, Mélanie Boizard, Guillaume Ginolhac, Fréderic Pascal. New Low-Rank Filters for MIMO-STAP based on an Orthogonal Tensorial Decomposition, 2018. (https://hal.science/hal-01789076)
    • Gordana Draskovic, Frédéric Pascal. New insights into the statistical properties of M-estimators, 2018. (https://hal.science/hal-01816084)
    • Joana Frontera-Pons, Jean-Philippe Ovarlez, Frederic Pascal. Robust ANMF Detection in Noncentered Impulsive Background, 2017-12. (https://centralesupelec.hal.science/hal-01692403)
    • François Vincent, Frédéric Pascal, Olivier Besson. A bias-compensated MUSIC for small number of samples, 2017-09. (https://inria.hal.science/hal-02486066)
    • Joana Frontera-Pons, Frédéric Pascal, Jean-Philippe Ovarlez. Adaptive non zero-mean Gaussian detection, 2017-02. (https://hal.science/hal-01407449)
    • Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret. A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images, 2016-11-22. (https://hal.science/hal-01416149)
    • Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context, 2016-11-15. (https://hal.science/hal-01377662)
    • Joana Frontera-Pons, Miguel Angel Veganzones, Frédéric Pascal, Jean-Philippe Ovarlez. Hyperspectral anomaly detectors using robust estimators, 2016-02. (https://hal.science/hal-01377668)
    • Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini. Convergence and Fluctuations of Regularized Tyler Estimators, 2016. (https://hal.science/hal-01377665)
    • Romain Couillet, Abla Kammoun, Frédéric Pascal. Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals, 2016. (https://hal.science/hal-01262635)
    • Frédéric Pascal, Abla Kammoun. Théorie des matrices aléatoires robustes et applications à la détection radar 1, 2016. (https://hal.science/hal-01378253)
    • Ying Sun, Arnaud Breloy, Babu Prabhu, Daniel P. Palomar, Frédéric Pascal, Guillaume Ginolhac. Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems, 2016. (https://hal.science/hal-01377663)
    • Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret. A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors, 2015-03. (https://hal.science/hal-01127988)
    • Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret. Performance assessment of a recent change detection method for homogeneous and heterogeneous images, 2015. (https://centralesupelec.hal.science/hal-01251780)
    • Romain Couillet, Frédéric Pascal, Jack W. Silverstein. The random matrix regime of Maronna’s M-estimator with elliptically distributed samples, 2015. (https://hal.science/hal-01242488)
    • Yacine Chitour, Romain Couillet, Frédéric Pascal. On the Convergence of Maronna's M-Estimators of Scatter, 2015. (https://centralesupelec.hal.science/hal-01251753)
    • Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context, 2015. (https://hal.science/hal-01167526)
    • Romain Couillet, Frédéric Pascal, Jack W. Silverstein. Robust Estimates of Covariance Matrices in Large Dimensional Regime, 2014-11. (https://centralesupelec.hal.science/hal-01104000)
    • Frédéric Pascal, Yacine Chitour, Yihui Quek. Generalized Robust Shrinkage Estimator and Its Application to STAP Detection Problem, 2014-11. (https://centralesupelec.hal.science/hal-01104004)
    • Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean-Philippe Ovarlez. Exploiting persymmetry for low-rank Space Time Adaptive Processing, 2014-04-01. (https://hal.science/hal-00926260)
    • Mélanie Boizard, Guillaume Ginolhac, Fréderic Pascal, Philippe Forster. Low-rank filter and detector for multidimensional data based on an alternative unfolding HOSVD: application to polarimetric STAP, 2014. (https://hal.science/hal-01084597)
    • Frédéric Pascal, Lionel Bombrun, Jean-Yves Tourneret, Yannick Berthoumieu. Parameter Estimation For Multivariate Generalized Gaussian Distributions, 2013-12. (https://hal.science/hal-00879851)
    • Mélanie Mahot, Frédéric Pascal, Philippe Forster, Jean-Philippe Ovarlez. Asymptotic Properties of Robust Complex Covariance Matrix Estimates, 2013. (https://hal.science/hal-01705126)
    • Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean-Philippe Ovarlez. Performance of two Low-Rank STAP Filters in a Heterogeneous Noise, 2013-01-01. (https://hal.science/hal-00828338)
    • Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean-Philippe Ovarlez. Derivation of the bias of the normalized sample covariance matrix in a heterogeneous noise with application to low rank STAP filter, 2012-01-01. (https://centralesupelec.hal.science/hal-00780733)
    • Guilhem Pailloux, Philippe Forster, Jean-Philippe Ovarlez, Frédéric Pascal. Persymmetric Adaptive Radar Detectors, 2011-10. (https://centralesupelec.hal.science/hal-00659834)
    • Gabriel Vasile, Frédéric Pascal, Jean-Philippe Ovarlez, Pierre Formont, Michel Gay. Optimal Parameter Estimation in Heterogeneous Clutter for High Resolution Polarimetric SAR Data, 2011-06-09. (https://hal.science/hal-00638825)
    • Guillaume Ginolhac, Philippe Forster, Jean-Philippe Ovarlez, Frédéric Pascal. STAP à Rand Réduit, Robuste et Persymétrique, 2011. (https://centralesupelec.hal.science/hal-00659841)
    • Jean-Philippe Ovarlez, Frédéric Pascal, Philippe Forster, Guillaume Ginolhac, Mélanie Mahot. Traitement STAP et Modélisation SIRV : Robustesse et Persymétrie, 2011. (https://centralesupelec.hal.science/hal-00659845)
    • Pierre Formont, Frédéric Pascal, Gabriel Vasile, Jean-Philippe Ovarlez, Laurent Ferro-Famil. Statistical Classification for Heterogeneous Polarimetric SAR Images, 2011. (https://hal.science/hal-00638829)
    • Fréderic Pascal, Alexandre Renaux. Statistical analysis of the covariance matrix MLE in K-distributed clutter, 2010-04-01. (https://hal.science/hal-00556226)
    • Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal, Céline Tison. Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images, 2010-04-01. (https://hal.science/hal-00466647)
    • Chin Yuan Chong, Frédéric Pascal, Jean-Philippe Ovarlez, Marc Lesturgie. MIMO Radar Detection in non-Gaussian and Heterogeneous Clutter, 2010-02-01. (https://centralesupelec.hal.science/hal-00555844)
    • Fréderic Pascal, Hugo Harari-Kermadec, Pascal Larzabal. The Empirical Likelihood method applied to covariance matrix estimation, 2010-02-01. (https://hal.science/hal-00556225)
    • Yacine Chitour, Frédéric Pascal. Exact maximum likelihood estimates for sirv covariance matrix: Existence and algorithm analysis, 2008-10. (https://centralesupelec.hal.science/hal-00353594)
    • Frédéric Pascal, Y. Chitour, Jean-Philippe Ovarlez, Philippe Forster, Pascal Larzabal. Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis, 2008. (https://hal.science/hal-01816367)
    • Frédéric Pascal, Philippe Forster, Jean-Philippe Ovarlez, Pascal Larzabal. Performance analysis of covariance matrix estimates in impulsive noise, 2008. (https://centralesupelec.hal.science/hal-00353591)
    • Sébastien Bausson, Frédéric Pascal, Philippe Forster, Jean-Philippe Ovarlez, Pascal Larzabal. First and Second Order Moments of the Normalized Sample Covariance Matrix of Spherically Invariant Random Vectors, 2007. (https://hal.science/hal-02491536)
  • Pré-publication, Document de travail - 3 documents
    • Nora Leïla Ouzir, Frédéric Pascal, Jean-Christophe Pesquet. Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions, 2023-12-29. (https://hal.science/hal-04366765)
    • Manon Mottier, Gilles Chardon, Frédéric Pascal. Deinterleaving RADAR emitters with optimal transport distances, 2023-12-21. (https://hal.science/hal-04360282)
    • Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza. Choosing the parameter of the Fermat distance: navigating geometry and noise, 2023-12. (https://hal.science/hal-04317396)
  • Chapitre d'ouvrage - 6 documents
  • Communication dans un congrès - 139 documents
    • Imen Ayadi, Florent Bouchard, Frédéric Pascal. t-WDA: A novel Discriminant Analysis applied to EEG classification, 2023-09-04. (https://hal.science/hal-04249018)
    • Emilien Boizard, Gilles Chardon, Frédéric Pascal. Une méthode de Gradient Boosting d'Arbre de Décision explicative basée sur l'algorithme de Frank-Wolfe, 2023-08-28. (https://hal.science/hal-04366782)
    • Imen Ayadi, Florent Bouchard, Frédéric Pascal. Distribution matricielle t-Wishart : géométrie d'information, estimation et application pour la classification de signaux EEG, 2023-08-28. (https://hal.science/hal-04226626)
    • Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal, Esa Ollila. Algorithme EM régularisé, 2023-08-28. (https://hal.science/hal-04254186)
    • Malik Tiomoko, Romain Couillet, Frédéric Pascal. PCA-based Multi Task Learning: a Random Matrix Approach, 2023-07-23. (https://hal.science/hal-03420009v2)
    • Imen Ayadi, Florent Bouchard, Frédéric Pascal. Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry, 2023-06-04. (https://hal.science/hal-04213775)
    • Pierre Houdouin, Esa Ollila, Frédéric Pascal. Regularized EM Algorithm, 2023-06-04. (https://hal.science/hal-04254175)
    • Manon Mottier, Gilles Chardon, Frédéric Pascal. Désentrelacement et classification des émetteurs RADARs basés sur l'utilisation des distances de Transport Optimal, 2022-11-16. (https://hal.science/hal-03881736)
    • Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal. FEMDA: Une méthode de classification robuste et flexible, 2022-09-06. (https://hal.science/hal-04254165)
    • Manon Mottier, Gilles Chardon, Frédéric Pascal. Désentrelacement et classification de signaux RADAR basés sur des distances de transport optimal, 2022-09-06. (https://hal.science/hal-03851279)
    • Stefano Fortunati, Alexandre Renaux, Frédéric Pascal. Etude à distance finie d'un R-estimateur pour la matrice de forme des distributions symétriques elliptiques complexes, 2022-09-06. (https://hal.science/hal-03790645)
    • Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal. Riemannian classification of EEG signals with missing values, 2022-08-29. (https://hal.science/hal-03856816)
    • Manon Mottier, Gilles Chardon, Frédéric Pascal. RADAR Emitter Classification with Optimal Transport Distances, 2022-08-29. (https://hal.science/hal-03869152)
    • Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal. FEMDA : une méthode de classification robuste et flexible, 2022-08. (https://centralesupelec.hal.science/hal-04288999)
    • Pierre Houdouin, Andrew Wang, M Jonckheere, Frédéric Pascal. Robust classification with flexible discriminant analysis in heterogeneous data, 2022-05-23. (https://hal.science/hal-03620144)
    • Nora Leïla Ouzir, Jean-Christophe Pesquet, Frédéric Pascal. A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models, 2022-05-23. (https://hal.science/hal-03763278)
    • Frédéric Pascal, Esa Ollila, Daniel P Palomar. Improved estimation of the degree of freedom parameter of multivariate t-distribution, 2021-08-23. (https://centralesupelec.hal.science/hal-03436848)
    • Violeta Roizman, Guillaume Ginolhac, Matthieu Jonckheere, Frédéric Pascal. On Change Detection for Polsar Image Time Series: A New Clustering Approach, 2021-07-11. (https://centralesupelec.hal.science/hal-03436869)
    • Manon Mottier, Gilles Chardon, Frédéric Pascal. Deinterleaving and Clustering unknown RADAR pulses, 2021-05. (https://centralesupelec.hal.science/hal-03245067)
    • Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal. Robust clustering and outlier rejection using the Mahalanobis distance distribution, 2021-01-18. (https://centralesupelec.hal.science/hal-03436669)
    • Stefano Fortunati, Alexandre Renaux, Frédéric Pascal. Properties of a new R-estimator of shape matrices, 2021-01-18. (https://hal.science/hal-02976913)
    • Stefano Fortunati, Alexandre Renaux, Frédéric Pascal. ROBUST SEMIPARAMETRIC JOINT ESTIMATORS OF LOCATION AND SCATTER IN ELLIPTICAL DISTRIBUTIONS, 2020-09-21. (https://hal.science/hal-02976889)
    • Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal. Riemannian framework for robust covariance matrix estimation in spiked models, 2020-05-04. (https://hal.univ-grenoble-alpes.fr/hal-02571084)
    • Esa Ollila, Daniel P. Palomar, Frédéric Pascal. M-Estimators of Scatter with Eigenvalue Shrinkage, 2020-05-04. (https://centralesupelec.hal.science/hal-02591476)
    • Stefano Fortunati, Alexandre Renaux, Frédéric Pascal. Robust Semiparametric DOA Estimation in non-Gaussian Environment, 2020. (https://hal.science/hal-02976918)
    • Arnaud Breloy, Esa Ollila, Frédéric Pascal. Spectral Shrinkage of Tyler's M -Estimator of Covariance Matrix, 2019-12-15. (https://inria.hal.science/hal-02485823)
    • Violeta Roizman, Gordana Draskovic, Frédéric Pascal. A new clustering algorithm for PolSAR images segmentation, 2019-12-15. (https://inria.hal.science/hal-02485766)
    • Pascal Vallet, Guillaume Ginolhac, Frederic Pascal, P Forster. PERFORMANCE ANALYSIS OF A LOW-RANK DETECTOR UNDER TRAINING DATA CONTAMINATION, 2019-12-15. (https://hal.univ-grenoble-alpes.fr/hal-02388669)
    • Gordana Draskovic, Arnaud Breloy, Frédéric Pascal. Caractérisations asymptotiques pour les composantes principales des M -estimateurs, 2019-08-26. (https://hal.science/hal-02486933)
    • Shahab Basiri, Esa Ollila, Gordana Draskovic, Frédéric Pascal. Fusing Eigenvalues, 2019-05-12. (https://centralesupelec.hal.science/hal-02186196)
    • Pascal Vallet, Guillaume Ginolhac, Frederic Pascal, Philippe Forster. An Improved Low Rank Detector in the High Dimensional Regime, 2019-05-12. (https://hal.science/hal-02152102)
    • Emmanuelle Jay, Eugénie Terreaux, Jean-Philippe Ovarlez, Frederic Pascal. Improving Portfolios Global Performance with Robust Covariance Matrix Estimation: Application to the Maximum Variety Portfolio, 2018-09-03. (https://centralesupelec.hal.science/hal-02124639)
    • Gordana Draskovic, Frédéric Pascal. New insights into the statistical properties of M-estimators and application to signal detection, 2018-07-02. (https://centralesupelec.hal.science/hal-02186220)
    • Eugénie Terreaux, Jean-Philippe Ovarlez, Frédéric Pascal. A Toeplitz-Tyler Estimation of the Model Order in Large Dimensional Regime, 2018-04-15. (https://centralesupelec.hal.science/hal-02124624)
    • Tzvi Diskin, Gordana Draskovic, Frédéric Pascal, Ami Wiesel. Deep robust regression, 2017-12-10. (https://hal.science/hal-01816119)
    • Eugénie Terreaux, Jean-Philippe Ovarlez, Frédéric Pascal. Estimation de l'Ordre de Modèle pour un Bruit Elliptique Symétrique Complexe en Grande Dimension, 2017-09-05. (https://centralesupelec.hal.science/hal-01692623)
    • Gordana Draskovic, Frédéric Pascal, Arnaud Breloy, Jean-Yves Tourneret. Nouvelles propriétés asymptotiques de détecteurs robustes, 2017-09-05. (https://inria.hal.science/hal-02486099)
    • Eugénie Terreaux, Jean-Philippe Ovarlez, Frédéric Pascal. New model order selection in large dimension regime for complex elliptically symmetric noise, 2017-08-28. (https://centralesupelec.hal.science/hal-01692642)
    • Gordana Draskovic, Frédéric Pascal, Arnaud Breloy, Jean-Yves Tourneret. New asymptotic properties for the robust ANMF, 2017-03-05. (https://hal.science/hal-01816123)
    • Frédéric Pascal. Robust RMT for covariance matrix estimation and applications to signal processing, 2016-12. (https://hal.science/hal-01634291)
    • Gordana Draskovic, Frédéric Pascal. New properties for Tyler’s covariance matrix estimator, 2016-11-06. (https://hal.science/hal-01634293)
    • Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed Slim-Alouini. Optimal Design of Adaptive Normalized Matched Filter For Large Antenna Arrays, 2016-06-26. (https://hal.science/hal-01633446)
    • Arnaud Breloy, Y Sun, P Babu, G Ginolhac, Daniel P. Palomar, Frédéric Pascal. A robust signal subspace estimator, 2016-06-26. (https://hal.univ-grenoble-alpes.fr/hal-01323380)
    • Eugénie Terreaux, Jean-Philippe Ovarlez, Frédéric Pascal. Anomaly Detection and Estimation in Hyperspectral Imaging Using RMT Tools, 2015-12-13. (https://hal.science/hal-01325087)
    • Romain Couillet, Maria S Greco, Jean-Philippe Ovarlez, Frédéric Pascal. RMT for whitening space correlation and applications to radar detection, 2015-12-13. (https://hal.science/hal-01262631)
    • Jean-Philippe Ovarlez, Frédéric Pascal, Arnaud Breloy. Asymptotic Detection Performance Analysis of the Robust Adaptive Normalized Matched Filter, 2015-12-13. (https://hal.science/hal-01325083)
    • Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie. Filtres adaptatifs rang faible : analyse de performances en grandes dimensions, 2015-09-08. (https://hal.univ-grenoble-alpes.fr/hal-01226413)
    • Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Estimation Robuste de la Matrice de Covariance en contexte Hétérogène Rang Faible, 2015-09-08. (https://hal.univ-grenoble-alpes.fr/hal-01226415)
    • Romain Couillet, Abla Kammoun, Frédéric Pascal. Estimation robuste dans le régime des grandes matrices aléatoires, 2015-09. (https://hal.science/hal-01325047)
    • Frédéric Pascal, Jean-Philippe Ovarlez. Asymptotic detection performance of the robust ANMF, 2015-08-31. (https://hal.science/hal-01521934)
    • Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie. Asymptotic performance of the Low Rank Adaptive Normalized Matched Filter in a large dimensional regime, 2015-04-19. (https://hal.univ-grenoble-alpes.fr/hal-01226381)
    • Frédéric Pascal, Jean-Philippe Ovarlez. Asymptotic Properties of the Robust ANMF, 2015-04-19. (https://hal.science/hal-01270119)
    • Abla Kammoun, Romain Couillet, Frédéric Pascal. Second order statistics of bilinear forms of robust scatter estimators, 2015-04-19. (https://hal.science/hal-01262625)
    • Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret. Change detection for optical and radar images using a Bayesian nonparametric model coupled with a Markov random field, 2015-04-19. (https://hal.science/hal-01377333)
    • Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean-Philippe Ovarlez, Jocelyn Chanussot. Binary partition trees-based robust adaptive hyperspectral RX anomaly detection, 2014-10-27. (https://hal.science/hal-01010392)
    • Alice Combernoux, Frédéric Pascal, Marc Lesturgie, Guillaume Ginolhac. Performances of Low Rank Detectors Based on Random Matrix Theory with Application to STAP, 2014-10-13. (https://hal.science/hal-01084420)
    • Arnaud Breloy, G Ginolhac, F Pascal, P Forster. Numerical performances of low rank stap based on different heterogeneous clutter subspace estimators, 2014-10-13. (https://hal.science/hal-01084418)
    • Joana Frontera-Pons, Miguel Angel Veganzones, Santiago Velasco-Forero, Frédéric Pascal, Jean-Philippe Ovarlez, Jocelyn Chanussot. Robust anomaly detection in hyperspectral imaging, 2014-07-13. (https://hal.science/hal-01010418)
    • Romain Couillet, F. Pascal. Robust M-estimator of scatter for large elliptical samples, 2014-06-29. (https://centralesupelec.hal.science/hal-01092916)
    • Frédéric Pascal, Yacine Chitour. Shrinkage covariance matrix estimator applied to STAP detection, 2014-06-29. (https://centralesupelec.hal.science/hal-01104073)
    • Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context, 2014-06-22. (https://hal.science/hal-01059726)
    • Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption, 2014-05-04. (https://hal.science/hal-01024200)
    • Jorge Prendes, Marie Chabert, Frederic Pascal, Alain Giros, Jean-Yves Tourneret. A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors, 2014-05-04. (https://centralesupelec.hal.science/hal-01104184)
    • Mélanie Boizard, Frédéric Brigui, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster, Hong Bo Sun. Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP, 2013-12-15. (https://hal.science/hal-00933556)
    • Mélanie Boizard, Guillaume Ginolhac, Frédéric Pascal, Sébastian Miron, Philippe Forster. Numerical performance of a tensor music algorithm based on HOSVD for a mixture of polarized sources, 2013-09-09. (https://hal.science/hal-00871220)
    • Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. MAXIMUM LIKELIHOOD ESTIMATION OF CLUTTER SUBSPACE IN NON HOMOGENEOUS NOISE CONTEXT, 2013-09-09. (https://hal.science/hal-00871219)
    • Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie. Random matrix theory applied to low rank stap detection, 2013-09-09. (https://hal.science/hal-00871217)
    • Mohammed Nabil El Korso, Philippe Forster, Frédéric Pascal, Pascal Larzabal. Résolution limite dans un contexte de localisation active de sources, 2013-09-03. (https://centralesupelec.hal.science/hal-00870567)
    • Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie. Théorie des Matrices Aléatoires Appliquée à la Détection STAP Rang Faible, 2013-09-03. (https://hal.science/hal-00871205)
    • Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Estimation par Maximum de Vraisemblance du sous espace clutter dans un bruit hétérogène rang faible avec application au STAP, 2013-09-03. (https://hal.science/hal-00871207)
    • Mélanie Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Une nouvelle décomposition tensorielle orthogonale, l'Alternative Unfolding HOSVD. Application au STAP Polarimétrique, 2013-09-03. (https://hal.science/hal-00871211)
    • Joana Frontera-Pons, Jean-Philippe Ovarlez, Frédéric Pascal, Jocelyn Chanussot. Performance Analysis of Robust Detectors for Hyperspectral Imaging, 2013-07-21. (https://centralesupelec.hal.science/hal-00934285)
    • Pierre Formont, Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean-Philippe Ovarlez, Jocelyn Chanussot. CFAR Hierarchical Clustering of Polarimetric SAR Data, 2013-07-21. (https://hal.science/hal-01010367)
    • Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie. Random matrix theory applied to low rank STAP detection, 2013-06-10. (https://centralesupelec.hal.science/hal-00935546)
    • Pierre Formont, Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean-Philippe Ovarlez, Jocelyn Chanussot. CFAR Clustering of Polarimetric SAR Data, 2013-06-10. (https://centralesupelec.hal.science/hal-00935540)
    • Frédéric Pascal, Romain Couillet. Robust Estimates of covariance matrices in large dimensional regime and application to array processing, 2013-06-10. (https://centralesupelec.hal.science/hal-00935366)
    • Joana Frontera-Pons, Jean-Philippe Ovarlez, Frédéric Pascal. Detection Improvement using Robust Estimates for Hyperspectral Imaging, 2013-06-10. (https://centralesupelec.hal.science/hal-00935510)
    • Romain Couillet, Frédéric Pascal, Jack W. Silverstein. A Joint Robust Estimation and Random Matrix Framework with Application to Array Processing, 2013-05-26. (https://centralesupelec.hal.science/hal-00830302)
    • Frédéric Pascal. Robust covariance matrices estimation and applications in signal processing, 2013-05-16. (https://centralesupelec.hal.science/hal-00935283)
    • Frédéric Pascal. Robust covariance matrices estimation and applications to SAR and Hyper- spectral images processing, 2013-05-06. (https://centralesupelec.hal.science/hal-00935337)
    • Mohammed Nabil El Korso, Frédéric Pascal, Marius Pesavento. On the resolvability of closely spaced targets using a colocated MIMO radar, 2012-11-04. (https://centralesupelec.hal.science/hal-00782178)
    • Frédéric Brigui, Chin Yuan Chong, Frédéric Pascal. Reduced rank STAP techniques for MIMO, 2012-10-31. (https://centralesupelec.hal.science/hal-00782168)
    • Frédéric Pascal. Robust Estimation and Random Matrix Theory, 2012-09-11. (https://centralesupelec.hal.science/hal-00782156)
    • Mélanie Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. A New Tool for Multidimensional Low-Rank STAP Filter: Cross HOSVDs, 2012-08-27. (https://centralesupelec.hal.science/hal-00781743)
    • Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean-Philippe Ovarlez. Exploiting Persymmetry for Low-Rank Space Time Adaptive Processing, 2012-08-27. (https://centralesupelec.hal.science/hal-00781738)
    • Joana Frontera-Pons, Mélanie Mahot, Jean-Philippe Ovarlez, Frédéric Pascal, Sze Kim Pang, Jocelyn Chanussot. A class of Robust Estimates for Detection in Hyperspectral Images using Elliptical Distributions Backgroung, 2012-07-22. (https://centralesupelec.hal.science/hal-00781727)
    • Frédéric Pascal. Matrices aléatoires en estimation robuste, 2012-07-12. (https://centralesupelec.hal.science/hal-00782159)
    • Mélanie Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Low Rank Tensor STAP filter based on multilinear SVD, 2012-06-17. (https://centralesupelec.hal.science/hal-00781682)
    • Mélanie Mahot, Frédéric Pascal, Philippe Forster, Jean-Philippe Ovarlez. Robust ANMF test using Huber's M-estimator, 2012-06-17. (https://centralesupelec.hal.science/hal-00780780)
    • Joana Frontera-Pons, Mélanie Mahot, Jean-Philippe Ovarlez, Frédéric Pascal, Jocelyn Chanussot. Robust Detection using M- estimators for Hyperspectral Imaging, 2012-06-04. (https://centralesupelec.hal.science/hal-00780777)
    • Lionel Bombrun, Frédéric Pascal, Jean-Yves Tourneret, Yannick Berthoumieu. Performance of the maximum likelihood estimators for the parameters of multivariate generalized Gaussian distributions, 2012-03-25. (https://hal.science/hal-00744600)
    • Mélanie Mahot, Philippe Forster, Frédéric Pascal, Jean-Philippe Ovarlez. Robust Covariance Matrix Estimate with Attractive Asymptotic Properties, 2011-12-13. (https://centralesupelec.hal.science/hal-00659869)
    • Jean-Philippe Ovarlez, Pierre Formont, Frédéric Pascal, Gabriel Vasile, Laurent Ferro-Famil. Contribution of Information Geometry for Polarimetric SAR Classification in Heterogeneous Areas, 2011-09-07. (https://hal.science/hal-00640864)
    • Mélanie Mahot, Philippe Forster, Frédéric Pascal, Jean-Philippe Ovarlez. Propriétés asymptotiques d'un estimateur de matrice de covariance complexe robuste, 2011-09-05. (https://centralesupelec.hal.science/hal-00659867)
    • Mélanie Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Développement de Filtres STAP Tensoriels Appliqués à des Données Multidimensionnelles, 2011-09-05. (https://centralesupelec.hal.science/hal-00659866)
    • Pierre Formont, Frédéric Pascal, Jean-Philippe Ovarlez, Gabriel Vasile, Laurent Ferro-Famil. Apport de la géométrie de l'information pour la classification d'images SAR polarimétriques, 2011-09-05. (https://hal.science/hal-00640866)
    • Gabriel Vasile, Frédéric Pascal, Jean-Philippe Ovarlez, Pierre Formont. Heterogeneous Clutter Model for High-Resolution Polarimetric SAR Data Processing, 2011-07-24. (https://hal.science/hal-00638874)
    • Pierre Formont, Jean-Philippe Ovarlez, Frédéric Pascal, Gabriel Vasile, Laurent Ferro-Famil. On the Extension of the Product Model in Polsar Processing for Unsupervised Classification Using Information Geometry of Covariance Matrices, 2011-07-24. (https://hal.science/hal-00640872)
    • Jean-Philippe Ovarlez, Sze Kim Pang, Frédéric Pascal, Vincent Achard, T.K. Ng. Robust detection using SIRV background modelling for hyperspectral imaging, 2011-07-24. (https://centralesupelec.hal.science/hal-00659865)
    • Chin Yuan Chong, Frédéric Pascal, Marc Lesturgie. Estimation Performance of Coherent MIMO-STAP using Cramér-Rao Bounds, 2011-05-23. (https://centralesupelec.hal.science/hal-00659860)
    • Pierre Formont, Nicolas Trouvé, Jean-Philippe Ovarlez, Frédéric Pascal, Gabriel Vasile, Elise Colin-Koeniguer. PolSAR Classification based on the SIRV model with a region growing initialization, 2011-03-23. (https://hal.science/hal-00640862)
    • Pierre Formont, Jean-Philippe Ovarlez, Frédéric Pascal, Gabriel Vasile, Laurent Ferro-Famil. H/α Unsupervised Classification for Highly Textured Polinsar Images using Information Geometry of Covariance Matrices, 2011-01-24. (https://hal.science/hal-00640761)
    • Gabriel Vasile, Frédéric Pascal, Jean-Philippe Ovarlez. Heterogeneous Clutter Model for High-Resolution Polarimetric SAR Data Parameter Estimation, 2011-01-24. (https://hal.science/hal-00561143)
    • Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal, Michel Gay, Guy d'Urso, Dider Boldo. Stable scatterers detection and tracking in heterogeneous clutter by repeat-pass SAR interferometry, 2010-11-07. (https://hal.science/hal-00544148)
    • Chin Yuan Chong, Frédéric Pascal, Jean-Philippe Ovarlez, Marc Lesturgie. Properties of Robust MIMO Detector, 2010-08-23. (https://centralesupelec.hal.science/hal-00555918)
    • Mélanie Mahot, Philippe Forster, Jean-Philippe Ovarlez, Frédéric Pascal. Robustness Analysis of Covariance Matrix Estimates, 2010-08-23. (https://centralesupelec.hal.science/hal-00555913)
    • Lionel Bombrun, Gabriel Vasile, Michel Gay, Jean-Philippe Ovarlez, Frédéric Pascal. Roll Invariant Target Detection based on PolSAR Clutter Models, 2010-07-25. (https://hal.science/hal-00520566)
    • Pierre Formont, Jean-Philippe Ovarlez, Frédéric Pascal, Gabriel Vasile, Laurent Ferro-Famil. A Test statistic for high resolution polarimetric SAR Data classification, 2010-07-25. (https://hal.science/hal-00507077)
    • Gabriel Vasile, Frédéric Pascal, Jean-Philippe Ovarlez, Steeve Zozor, Michel Gay. Optimal parameter estimation in heterogeneous clutter for high resolution polarimetric SAR data, 2010-07-25. (https://hal.science/hal-00544150)
    • Lionel Bombrun, Gabriel Vasile, Michel Gay, Jean-Philippe Ovarlez, Frédéric Pascal. A combined TSVM model and GLRT detector for a roll invariant target detection., 2010-06-07. (https://hal.science/hal-00491982)
    • Pierre Formont, Jean-Philippe Ovarlez, Frédéric Pascal, Gabriel Vasile, Laurent Ferro-Famil. A New method for High Resolution Polarimetric SAR Data Classification Based on the M-Box Test, 2010-06-07. (https://hal.science/hal-00507074)
    • Jean-Philippe Ovarlez, Frédéric Pascal, Philippe Forster, Mélanie Mahot, G. Pailloux. A review of non-Gaussian detectors on different sets of experimental data, 2010-05-25. (https://centralesupelec.hal.science/hal-00557918)
    • Jérémie Jakubowicz, Frédéric Pascal, Jean-Philippe Ovarlez. Improved segmentation in polarimetric SAR images, 2010-05-25. (https://centralesupelec.hal.science/hal-00557877)
    • Pierre Formont, Jean-Philippe Ovarlez, Frédéric Pascal, Gabriel Vasile, Laurent Ferro-Famil. Polarimetric Classification in Highly Textured SAR Images, 2010-05-25. (https://centralesupelec.hal.science/hal-00556549)
    • Lionel Bombrun, Gabriel Vasile, Michel Gay, Frédéric Pascal, Jean-Philippe Ovarlez. KummerU clutter model for PolSAR data: Application to segmentation and classification, 2010-05-25. (https://hal.science/hal-00488337)
    • Pierre Formont, Frédéric Pascal, Gabriel Vasile, Jean-Philippe Ovarlez, Laurent Ferro-Famil. A statistical approach to polarimetric SAR data classifiaction, 2010-05-25. (https://centralesupelec.hal.science/hal-00557881)
    • Chin Yuan Chong, Frédéric Pascal, Jean-Philippe Ovarlez, Marc Lesturgie. Hybrid MIMO radar: configurations and application on STAP, 2010-05-25. (https://centralesupelec.hal.science/hal-00556585)
    • Chin Yuan Chong, Frédéric Pascal, Jean-Philippe Ovarlez, Marc Lesturgie. Robust MIMO Radar Detection for Correlated Subarrays, 2010-03-14. (https://centralesupelec.hal.science/hal-00555863)
    • Chin Yuan Chong, Frédéric Pascal, Marc Lesturgie. MIMO radar detection under non-Gaussian clutter, 2009-10-12. (https://hal.science/hal-00447879)
    • G. Pailloux, Frédéric Pascal, Jean-Philippe Ovarlez, Philippe Forster. Comparison of various detection schemes for STAP radar based on experimental data, 2009-10-12. (https://hal.science/hal-00447905)
    • Chin Yuan Chong, Frédéric Pascal, Jean-Philippe Ovarlez, Marc Lesturgie. Adaptive MIMO radar detection in non-Gaussian and heterogeneous clutter considering fluctuating targets, 2009-08-31. (https://hal.science/hal-00447876)
    • Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal. Estimation and segmentation in non-Gaussian POLSAR clutter by SIRV stochastic processes, 2009-07-12. (https://hal.science/hal-02493508)
    • Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal, Michel Gay. Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models, 2009-07-12. (https://hal.science/hal-00398923)
    • Guillaume Ginolhac, Philippe Forster, Jean-Philippe Ovarlez, Frédéric Pascal. Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter, 2009-04-19. (https://hal.science/hal-00447895)
    • Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal, Michel Gay. Estimation of the normalized coherency matrix through the SIRV model. Application to high resolution POLSAR data, 2009-01-26. (https://hal.science/hal-00448508)
    • Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal. Coherency matrix estimation for heterogeneous clutter through the SIRV model. Application to high resolution POLSAR images, 2008-10-15. (https://centralesupelec.hal.science/hal-00354209)
    • Frédéric Pascal, Jean-Pierre Barbot, Hugo Harari-Kermadec, Ricardo Suyama, Pascal Larzabal. An empirical likelihood method for data aided channel identification in unknown noise field, 2008-08-25. (https://centralesupelec.hal.science/hal-00353605)
    • Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal, Céline Tison, Lionel Bombrun, Michel Gay, Emmanuel Trouvé. Normalized Coherency Matrix Estimation Under the SIRV Model. Alpine Glacier Polsar Data Analysis, 2008-07-06. (https://centralesupelec.hal.science/hal-00353606)
    • H. Harari-Kermadec, Frédéric Pascal. On the use of Empirical Likelihood for non-Gaussian clutter covariance matrix estimation, 2008-05-26. (https://centralesupelec.hal.science/hal-00353599)
    • G. Pailloux, Jean-Philippe Ovarlez, Frédéric Pascal, Philippe Forster. A sirv-cfar adaptive detector exploiting persymmetric clutter covariance structure, 2008-05-26. (https://centralesupelec.hal.science/hal-00353600)
    • G. Pailloux, Philippe Forster, Jean-Philippe Ovarlez, Frédéric Pascal. On Persymmetric Covariance Matrices in Adaptive Detection, 2008-03-31. (https://centralesupelec.hal.science/hal-00353608)
    • Frédéric Pascal, Jean-Philippe Ovarlez. Analyse de signaux STAP - Détection et Estimation, 2008-03-14. (https://centralesupelec.hal.science/hal-00354200)
    • Frédéric Pascal, Jean-Philippe Ovarlez, Philippe Forster, Pascal Larzabal. On a SIRV-CFAR detector with radar experimentations in impulsive noise, 2006-09. (https://hal.science/hal-02495014)
    • Frédéric Pascal, Jean-Philippe Ovarlez, Philippe Forster, Pascal Larzabal. Propriété CFAR-Matrice du Détecteur BORD -Application Radar sur Signaux Expérimentaux non-Gaussiens, 2005-09. (https://hal.science/hal-02495007)
    • Frédéric Pascal, Philippe Forster, Jean-Philippe Ovarlez, Pascal Larzabal. Theoretical Analysis of an Improved Covariance Matrix Estimator in non-Gaussian Noise, 2005-03-23. (https://hal.science/hal-02495012)
    • Frédéric Pascal, Jean-Philippe Ovarlez, Philippe Forster, Pascal Larzabal. Radar Detection in Compound-Gaussian Clutter, 2004-10. (https://hal.science/hal-02495009)
    • Jean-Philippe Ovarlez, Emmanuelle Jay, Frédéric Pascal. Bayesian Optimum Radar Detector Performances Against Ground Clutter Data, 2004-10. (https://hal.science/hal-02495010)
    • Frédéric Pascal, Jean-Philippe Ovarlez, Philippe Forster, Pascal Larzabal. Constant false alarm rate detection in Spherically Invariant Random Processes, 2004-09. (https://hal.science/hal-02495011)
    • I Turanu, D Marin, Fréderic Pascal, S Bouhet, Isabelle P. Oswald. Effect of Fumonisin B1 on pig lymphocytes and vaccinal immune response, 2003. (https://hal.inrae.fr/hal-02827397)
  • Autre publication - 4 documents
  • Thèse - 1 document
  • Rapport - 1 document
    • Michel Buret, C. Batisse, B. Fils-Lycaon, C. Chambon, Fréderic Pascal. Evolution de la structure de la paroi cellulaire au cours de la croissance, la maturation et la post-maturation de la cerise Bigarreau-Burlat, 1993. (https://hal.inrae.fr/hal-02852206)