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Frédéric Pascal
Frédéric Pascal
Professor, L2S/CentraleSupélec
Adresse e-mail validée de centralesupelec.fr - Page d'accueil
Titre
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Année
Covariance structure maximum-likelihood estimates in compound Gaussian noise: Existence and algorithm analysis
F Pascal, Y Chitour, JP Ovarlez, P Forster, P Larzabal
IEEE Transactions on Signal Processing 56 (1), 34-48, 2007
4022007
Performance analysis of covariance matrix estimates in impulsive noise
F Pascal, P Forster, JP Ovarlez, P Larzabal
IEEE Transactions on signal processing 56 (6), 2206-2217, 2008
1922008
On the use of matrix information geometry for polarimetric SAR image classification
P Formont, JP Ovarlez, F Pascal
Matrix Information Geometry, 257-276, 2013
154*2013
Coherency matrix estimation of heterogeneous clutter in high-resolution polarimetric SAR images
G Vasile, JP Ovarlez, F Pascal, C Tison
IEEE Transactions on Geoscience and Remote Sensing 48 (4), 1809-1826, 2009
1512009
MIMO radar detection in non-Gaussian and heterogeneous clutter
CY Chong, F Pascal, JP Ovarlez, M Lesturgie
IEEE Journal of selected topics in signal processing 4 (1), 115-126, 2010
1442010
Covariance matrix estimation in SIRV and elliptical processes and their applications in radar detection
JP Ovarlez, F Pascal, P Forster
Modern Radar Detection Theory, 295-332, 2015
131*2015
Parameter estimation for multivariate generalized Gaussian distributions
F Pascal, L Bombrun, JY Tourneret, Y Berthoumieu
IEEE Transactions on Signal Processing 61 (23), 5960-5971, 2013
1302013
Persymmetric adaptive radar detectors
G Pailloux, P Forster, JP Ovarlez, F Pascal
IEEE Transactions on Aerospace and Electronic Systems 47 (4), 2376-2390, 2011
1062011
Generalized robust shrinkage estimator and its application to STAP detection problem
F Pascal, Y Chitour, Y Quek
IEEE Transactions on Signal Processing 62 (21), 5640-5651, 2014
932014
A new multivariate statistical model for change detection in images acquired by homogeneous and heterogeneous sensors
J Prendes, M Chabert, F Pascal, A Giros, JY Tourneret
IEEE Transactions on Image Processing 24 (3), 799-812, 2014
922014
Robust Estimates of Covariance Matrices in the Large Dimensional Regime
R Couillet, F Pascal, JW Silverstein
IEEE Transactions on Information Theory, Submitted for publication.[Online …, 2012
80*2012
The random matrix regime of Maronna’s M-estimator with elliptically distributed samples
R Couillet, F Pascal, JW Silverstein
Journal of Multivariate Analysis 139, 56-78, 2015
782015
Asymptotic properties of robust complex covariance matrix estimates
M Mahot, F Pascal, P Forster, JP Ovarlez
IEEE Transactions on Signal Processing 61 (13), 3348-3356, 2013
712013
Statistical classification for heterogeneous polarimetric SAR images
P Formont, F Pascal, G Vasile, JP Ovarlez, L Ferro-Famil
IEEE Journal of selected topics in Signal Processing 5 (3), 567-576, 2010
702010
Exact maximum likelihood estimates for SIRV covariance matrix: Existence and algorithm analysis
Y Chitour, F Pascal
IEEE Transactions on signal processing 56 (10), 4563-4573, 2008
572008
Performance of two low-rank STAP filters in a heterogeneous noise
G Ginolhac, P Forster, F Pascal, JP Ovarlez
IEEE Transactions on Signal Processing 61 (1), 57-61, 2012
512012
Low-complexity algorithms for low rank clutter parameters estimation in radar systems
Y Sun, A Breloy, P Babu, DP Palomar, F Pascal, G Ginolhac
IEEE Transactions on Signal Processing 64 (8), 1986-1998, 2015
412015
Theoretical analysis of an improved covariance matrix estimator in non-Gaussian noise [radar detection applications]
F Pascal, R Forster, JP Ovarlez, P Arzabal
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
382005
First-and second-order moments of the normalized sample covariance matrix of spherically invariant random vectors
S Bausson, F Pascal, P Forster, JP Ovarlez, P Larzabal
IEEE Signal Processing Letters 14 (6), 425-428, 2007
372007
Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals
R Couillet, A Kammoun, F Pascal
Journal of Multivariate Analysis 143, 249-274, 2016
362016
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