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Frédéric Pascal 0001
Person information
- affiliation: Laboratoire SONDRA de Supelec
Other persons with the same name
- Frédéric Pascal 0002 — ENS de Cachan
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2020 – today
- 2024
- [j57]Violeta Roizman, Matthieu Jonckheere
, Frédéric Pascal
:
A Flexible EM-Like Clustering Algorithm for Noisy Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2709-2721 (2024) - [j56]Manon Mottier
, Gilles Chardon
, Frédéric Pascal
:
Deinterleaving RADAR Emitters With Optimal Transport Distances. IEEE Trans. Aerosp. Electron. Syst. 60(3): 3639-3651 (2024) - [j55]Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza:
Choosing the parameter of the Fermat distance: navigating geometry and noise. Trans. Mach. Learn. Res. 2024 (2024) - [j54]Nora Ouzir
, Frédéric Pascal
, Jean-Christophe Pesquet
:
Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions. IEEE Trans. Signal Process. 72: 4132-4146 (2024) - [c80]Emilien Boizard, Gilles Chardon, Frédéric Pascal:
Enhancing the Explainability of Gradient Boosting Classification Through Comparable Samples Selection. EUSIPCO 2024: 2027-2031 - [c79]Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal:
Sparse PCA with False Discovery Rate Controlled Variable Selection. ICASSP 2024: 9716-9720 - [c78]Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal:
Random matrix theory improved Fréchet mean of symmetric positive definite matrices. ICML 2024 - [i16]Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal:
Sparse PCA with False Discovery Rate Controlled Variable Selection. CoRR abs/2401.08375 (2024) - [i15]Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal:
Random matrix theory improved Fréchet mean of symmetric positive definite matrices. CoRR abs/2405.06558 (2024) - [i14]Imen Ayadi, Florent Bouchard, Frédéric Pascal:
Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning. CoRR abs/2411.02726 (2024) - 2023
- [j53]Esa Ollila
, Daniel P. Palomar
, Frédéric Pascal
:
Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions. IEEE Signal Process. Lett. 30: 1017-1021 (2023) - [j52]Çagatay Candan
, Frédéric Pascal
:
Covariance Matrix Estimation of Texture Correlated Compound-Gaussian Vectors for Adaptive Radar Detection. IEEE Trans. Aerosp. Electron. Syst. 59(3): 3009-3020 (2023) - [j51]Florian Mouret
, Alexandre Hippert-Ferrer
, Frédéric Pascal
, Jean-Yves Tourneret
:
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. IEEE Trans. Signal Process. 71: 1669-1682 (2023) - [c77]Imen Ayadi, Florent Bouchard, Frédéric Pascal:
t-WDA: A novel Discriminant Analysis applied to EEG classification. EUSIPCO 2023: 1793-1797 - [c76]Imen Ayadi, Florent Bouchard, Frédéric Pascal:
Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry. ICASSP 2023: 1-5 - [c75]Pierre Houdouin, Esa Ollila, Frédéric Pascal:
Regularized EM Algorithm. ICASSP 2023: 1-5 - [c74]Malik Tiomoko, Romain Couillet, Frédéric Pascal:
PCA-based Multi-Task Learning: a Random Matrix Approach. ICML 2023: 34280-34300 - [i13]Pierre Houdouin, Esa Ollila, Frédéric Pascal:
Regularized EM algorithm. CoRR abs/2303.14989 (2023) - [i12]Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal:
FEMDA: Une méthode de classification robuste et flexible. CoRR abs/2307.01954 (2023) - [i11]Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal:
Algorithme EM régularisé. CoRR abs/2307.01955 (2023) - [i10]Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal:
FEMDA: a unified framework for discriminant analysis. CoRR abs/2311.07518 (2023) - [i9]Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza:
Choosing the parameter of the Fermat distance: navigating geometry and noise. CoRR abs/2311.18663 (2023) - 2022
- [j50]Stefano Fortunati
, Alexandre Renaux
, Frédéric Pascal:
Joint Estimation of Location and Scatter in Complex Elliptically Symmetric Distributions. J. Signal Process. Syst. 94(2): 133-146 (2022) - [c73]Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal:
Riemannian Classification of EEG Signals with Missing Values. EUSIPCO 2022: 842-846 - [c72]Manon Mottier, Gilles Chardon, Frédéric Pascal:
RADAR Emitter Classification with Optimal Transport Distances. EUSIPCO 2022: 1871-1875 - [c71]Pierre Houdouin, Andrew Wang
, Matthieu Jonckheere
, Frédéric Pascal:
Robust Classification with Flexible Discriminant Analysis in Heterogeneous Data. ICASSP 2022: 5717-5721 - [c70]Nora Ouzir, Jean-Christophe Pesquet, Frédéric Pascal:
A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models. ICASSP 2022: 5772-5776 - [i8]Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere, Andrew Wang:
Robust classification with flexible discriminant analysis in heterogeneous data. CoRR abs/2201.02967 (2022) - [i7]Florian Mouret, Alexandre Hippert-Ferrer, Frédéric Pascal, Jean-Yves Tourneret:
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. CoRR abs/2201.12020 (2022) - 2021
- [j49]Michael Muma, Esa Ollila
, Frédéric Pascal:
Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. Signal Process. 182: 107892 (2021) - [j48]Arnaud Breloy, Guillaume Ginolhac, Yongchan Gao, Frédéric Pascal:
MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation. Signal Process. 187: 108116 (2021) - [j47]Esa Ollila
, Daniel P. Palomar
, Frédéric Pascal:
Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. IEEE Trans. Signal Process. 69: 256-269 (2021) - [j46]Florent Bouchard
, Arnaud Breloy
, Guillaume Ginolhac
, Alexandre Renaux
, Frédéric Pascal:
A Riemannian Framework for Low-Rank Structured Elliptical Models. IEEE Trans. Signal Process. 69: 1185-1199 (2021) - [c69]Frédéric Pascal, Esa Ollila
, Daniel P. Palomar
:
Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. EUSIPCO 2021: 860-864 - [c68]Violeta Roizman, Guillaume Ginolhac, Matthieu Jonckheere
, Frédéric Pascal:
On Change Detection for Polsar Image Time Series: A New Clustering Approach. SSP 2021: 56-60 - [i6]Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal:
Riemannian classification of EEG signals with missing values. CoRR abs/2110.10011 (2021) - [i5]Malik Tiomoko, Romain Couillet, Frédéric Pascal:
PCA-based Multi Task Learning: a Random Matrix Approach. CoRR abs/2111.00924 (2021) - 2020
- [j45]Gordana Draskovic, Arnaud Breloy, Frédéric Pascal
:
On the performance of robust plug-in detectors using M-estimators. Signal Process. 167 (2020) - [j44]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. Soft Comput. 24(12): 8643-8654 (2020) - [j43]Stefano Fortunati
, Alexandre Renaux
, Frédéric Pascal:
Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions. IEEE Trans. Signal Process. 68: 5003-5015 (2020) - [c67]Stefano Fortunati, Alexandre Renaux
, Frédéric Pascal:
Properties of a new R-estimator of shape matrices. EUSIPCO 2020: 2443-2447 - [c66]Violeta Roizman, Matthieu Jonckheere
, Frédéric Pascal:
Robust clustering and outlier rejection using the Mahalanobis distance distribution. EUSIPCO 2020: 2448-2452 - [c65]Esa Ollila
, Daniel P. Palomar
, Frédéric Pascal:
M-Estimators of Scatter with Eigenvalue Shrinkage. ICASSP 2020: 5305-5309 - [c64]Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal:
Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. ICASSP 2020: 5979-5983 - [c63]Stefano Fortunati, Alexandre Renaux
, Frédéric Pascal:
Robust Semiparametric Joint Estimators of Location and Scatter in Elliptical Distributions. MLSP 2020: 1-6
2010 – 2019
- 2019
- [j42]Gordana Draskovic
, Frédéric Pascal, Florence Tupin
:
$M$ -NL: Robust NL-Means Approach for PolSAR Images Denoising. IEEE Geosci. Remote. Sens. Lett. 16(6): 997-1001 (2019) - [j41]Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac
:
Performance of the Low-Rank Adaptive Normalized Matched Filter Test Under a Large Dimension Regime. IEEE Trans. Aerosp. Electron. Syst. 55(1): 459-468 (2019) - [j40]Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac
, Marc Lesturgie:
Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime. IEEE Trans. Aerosp. Electron. Syst. 55(6): 3347-3364 (2019) - [j39]Gordana Draskovic
, Arnaud Breloy
, Frédéric Pascal:
On the Asymptotics of Maronna's Robust PCA. IEEE Trans. Signal Process. 67(19): 4964-4975 (2019) - [c62]Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal
, Philippe Forster
:
Performance Analysis of a Low-Rank Detector Under Training Data Contamination. CAMSAP 2019: 405-409 - [c61]Arnaud Breloy, Esa Ollila
, Frédéric Pascal:
Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. CAMSAP 2019: 535-538 - [c60]Violeta Roizman, Gordana Draskovic, Frédéric Pascal:
A new clustering algorithm for PolSAR images segmentation. CAMSAP 2019: 684-688 - [c59]Shahab Basiri, Esa Ollila
, Gordana Draskovic, Frédéric Pascal:
Fusing Eigenvalues. ICASSP 2019: 4968-4972 - [c58]Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
:
An Improved Low Rank Detector in the High Dimensional Regime. ICASSP 2019: 5336-5340 - [i4]Violeta Roizman, Matthieu Jonckheere
, Frédéric Pascal:
A flexible EM-like clustering algorithm for noisy data. CoRR abs/1907.01660 (2019) - 2018
- [j38]Abla Kammoun
, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
:
Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators. IEEE Trans. Aerosp. Electron. Syst. 54(2): 755-769 (2018) - [j37]Frédéric Brigui, Maxime Boizard, Guillaume Ginolhac
, Frédéric Pascal:
New Low-Rank Filters for MIMO-STAP Based on an Orthogonal Tensorial Decomposition. IEEE Trans. Aerosp. Electron. Syst. 54(3): 1208-1220 (2018) - [j36]Gordana Draskovic
, Frédéric Pascal:
New Insights Into the Statistical Properties of M-Estimators. IEEE Trans. Signal Process. 66(16): 4253-4263 (2018) - [c57]Emmanuelle Jay, Eugénie Terreaux, Jean Philippe Ovarlez
, Frédéric Pascal:
Improving Portfolios Global Performance with Robust Covariance Matrix Estimation: Application to the Maximum Variety Portfolio. EUSIPCO 2018: 1107-1111 - [c56]Eugénie Terreaux, Jean Philippe Ovarlez
, Frédéric Pascal:
A Toeplitz-Tyler Estimation of the Model Order in Large Dimensional Regime. ICASSP 2018: 4489-4493 - 2017
- [j35]François Vincent, Frédéric Pascal, Olivier Besson
:
A bias-compensated MUSIC for small number of samples. Signal Process. 138: 117-120 (2017) - [j34]Joana Frontera-Pons
, Jean Philippe Ovarlez
, Frédéric Pascal:
Robust ANMF Detection in Noncentered Impulsive Background. IEEE Signal Process. Lett. 24(12): 1891-1895 (2017) - [j33]Joana Frontera-Pons
, Frédéric Pascal, Jean Philippe Ovarlez
:
Adaptive Nonzero-Mean Gaussian Detection. IEEE Trans. Geosci. Remote. Sens. 55(2): 1117-1124 (2017) - [c55]Tzvi Diskin, Gordana Draskovic, Frédéric Pascal, Ami Wiesel:
Deep robust regression. CAMSAP 2017: 1-5 - [c54]Eugénie Terreaux, Jean Philippe Ovarlez
, Frédéric Pascal:
New model order selection in large dimension regime for complex elliptically symmetric noise. EUSIPCO 2017: 1090-1094 - [c53]Gordana Draskovic, Frédéric Pascal, Arnaud Breloy, Jean-Yves Tourneret:
New asymptotic properties for the robust ANMF. ICASSP 2017: 3429-3433 - 2016
- [j32]Romain Couillet, Abla Kammoun
, Frédéric Pascal:
Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals. J. Multivar. Anal. 143: 249-274 (2016) - [j31]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. SIAM J. Imaging Sci. 9(4): 1889-1921 (2016) - [j30]Joana Frontera-Pons
, Miguel Angel Veganzones, Frédéric Pascal, Jean Philippe Ovarlez
:
Hyperspectral Anomaly Detectors Using Robust Estimators. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 720-731 (2016) - [j29]Frédéric Pascal, Abla Kammoun:
Théorie des matrices aléatoires robustes et applications à la détection radar. Traitement du Signal 33(2-3): 321-349 (2016) - [j28]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
:
Convergence and Fluctuations of Regularized Tyler Estimators. IEEE Trans. Signal Process. 64(4): 1048-1060 (2016) - [j27]Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar
, Frédéric Pascal, Guillaume Ginolhac:
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Process. 64(8): 1986-1998 (2016) - [j26]Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
:
Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context. IEEE Trans. Signal Process. 64(22): 5794-5806 (2016) - [c52]Gordana Draskovic, Frédéric Pascal:
New properties for Tyler's covariance matrix estimator. ACSSC 2016: 820-824 - [c51]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
, Frédéric Pascal:
A robust signal subspace estimator. SSP 2016: 1-4 - [c50]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
:
Optimal adaptive normalized matched filter for large antenna arrays. SSP 2016: 1-5 - 2015
- [j25]Romain Couillet, Frédéric Pascal, Jack W. Silverstein
:
The random matrix regime of Maronna's M-estimator with elliptically distributed samples. J. Multivar. Anal. 139: 56-78 (2015) - [j24]Yacine Chitour, Romain Couillet, Frédéric Pascal:
On the Convergence of Maronna's M-Estimators of Scatter. IEEE Signal Process. Lett. 22(6): 709-712 (2015) - [j23]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. IEEE Trans. Image Process. 24(3): 799-812 (2015) - [j22]Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
:
Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context. IEEE Trans. Signal Process. 63(9): 2173-2182 (2015) - [c49]Jean Philippe Ovarlez
, Frédéric Pascal, Arnaud Breloy:
Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter. CAMSAP 2015: 137-140 - [c48]Romain Couillet, Maria Sabrina Greco
, Jean Philippe Ovarlez
, Frédéric Pascal:
RMT for whitening space correlation and applications to radar detection. CAMSAP 2015: 149-152 - [c47]Eugénie Terreaux, Jean Philippe Ovarlez
, Frédéric Pascal:
Anomaly detection and estimation in hyperspectral imaging using Random Matrix Theory tools. CAMSAP 2015: 169-172 - [c46]Frédéric Pascal, Jean Philippe Ovarlez
:
Asymptotic detection performance of the robust ANMF. EUSIPCO 2015: 524-528 - [c45]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. ICASSP 2015: 1513-1517 - [c44]Frédéric Pascal, Jean Philippe Ovarlez
:
Asymptotic properties of the robust ANMF. ICASSP 2015: 2594-2598 - [c43]Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie:
Asymptotic performance of the Low Rank Adaptive Normalized Matched Filter in a large dimensional regime. ICASSP 2015: 2599-2603 - [c42]Abla Kammoun, Romain Couillet, Frédéric Pascal:
Second order statistics of bilinear forms of robust scatter estimators. ICASSP 2015: 3412-3416 - [i3]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini:
Optimal Design of the Adaptive Normalized Matched Filter Detector. CoRR abs/1501.06027 (2015) - [i2]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
:
Convergence and Fluctuations of Regularized Tyler Estimators. CoRR abs/1504.01252 (2015) - 2014
- [j21]Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
Low-rank filter and detector for multidimensional data based on an alternative unfolding HOSVD: application to polarimetric STAP. EURASIP J. Adv. Signal Process. 2014: 119 (2014) - [j20]Guillaume Ginolhac, Philippe Forster
, Frédéric Pascal, Jean Philippe Ovarlez
:
Exploiting persymmetry for low-rank Space Time Adaptive Processing. Signal Process. 97: 242-251 (2014) - [j19]Romain Couillet, Frédéric Pascal, Jack W. Silverstein
:
Robust Estimates of Covariance Matrices in the Large Dimensional Regime. IEEE Trans. Inf. Theory 60(11): 7269-7278 (2014) - [j18]Frédéric Pascal, Yacine Chitour, Yihui Quek:
Generalized Robust Shrinkage Estimator and Its Application to STAP Detection Problem. IEEE Trans. Signal Process. 62(21): 5640-5651 (2014) - [c41]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. ICASSP 2014: 66-70 - [c40]Jorge Prendes, Marie Chabert
, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret:
A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors. ICASSP 2014: 5367-5371 - [c39]Miguel Angel Veganzones, Joana Frontera-Pons
, Frédéric Pascal, Jean Philippe Ovarlez
, Jocelyn Chanussot:
Binary partition trees-based robust adaptive hyperspectral RX anomaly detection. ICIP 2014: 5077-5081 - [c38]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. SAM 2014: 301-304 - [c37]Joana Frontera-Pons
, Miguel Angel Veganzones, Santiago Velasco-Forero, Frédéric Pascal, Jean Philippe Ovarlez
, Jocelyn Chanussot:
Robust anomaly detection in Hyperspectral Imaging. IGARSS 2014: 4604-4607 - [c36]Romain Couillet, Frédéric Pascal:
Robust M-estimator of scatter for large elliptical samples. SSP 2014: 1-4 - [c35]Frédéric Pascal, Yacine Chitour:
Shrinkage covariance matrix estimator applied to STAP detection. SSP 2014: 324-327 - 2013
- [j17]Guillaume Ginolhac, Philippe Forster
, Frédéric Pascal, Jean Philippe Ovarlez
:
Performance of Two Low-Rank STAP Filters in a Heterogeneous Noise. IEEE Trans. Signal Process. 61(1): 57-61 (2013) - [j16]Mélanie Mahot, Frédéric Pascal, Philippe Forster
, Jean Philippe Ovarlez
:
Asymptotic Properties of Robust Complex Covariance Matrix Estimates. IEEE Trans. Signal Process. 61(13): 3348-3356 (2013) - [j15]Frédéric Pascal, Lionel Bombrun
, Jean-Yves Tourneret, Yannick Berthoumieu:
Parameter Estimation For Multivariate Generalized Gaussian Distributions. IEEE Trans. Signal Process. 61(23): 5960-5971 (2013) - [c34]Joana Frontera-Pons
, Frédéric Pascal, Jean Philippe Ovarlez:
False-alarm regulation for target detection in hyperspectral imaging. CAMSAP 2013: 161-164 - [c33]Maxime Boizard, Frédéric Brigui, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
, Hong-Bo Sun
:
Multidimensional low-rank filter based on the AU-HOSVD for MIMO STAP. CAMSAP 2013: 412-415 - [c32]Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Sebastian Miron, Philippe Forster:
Numerical performance of a tensor MUSIC algorithm based on HOSVD for a mixture of polarized sources. EUSIPCO 2013: 1-5 - [c31]Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
Maximum likelihood estimation of clutter subspace in non homogeneous noise context. EUSIPCO 2013: 1-5 - [c30]Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie:
Random matrix theory applied to low rank stap detection. EUSIPCO 2013: 1-5 - [c29]Romain Couillet, Frédéric Pascal, Jack W. Silverstein
:
A joint robust estimation and random matrix framework with application to array processing. ICASSP 2013: 6561-6565 - [c28]Joana Frontera-Pons
, Jean Philippe Ovarlez
, Frédéric Pascal, Jocelyn Chanussot:
Performance analysis of robust detectors for hyperspectral imaging. IGARSS 2013: 1067-1070 - [c27]Pierre Formont, Miguel Angel Veganzones, Joana Frontera-Pons
, Frédéric Pascal, Jean Philippe Ovarlez
, Jocelyn Chanussot:
CFAR hierarchical clustering of polarimetric SAR data. IGARSS 2013: 2461-2464 - 2012
- [j14]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. IEEE Trans. Signal Process. 60(1): 514-518 (2012) - [c26]Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez:
Exploiting persymmetry for Low-Rank Space Time Adaptive Processing. EUSIPCO 2012: 81-85 - [c25]Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
A new tool for multidimensional low-rank STAP filter: Cross HOSVDs. EUSIPCO 2012: 1324-1328 - [c24]Lionel Bombrun
, Frédéric Pascal, Jean-Yves Tourneret, Yannick Berthoumieu:
Performance of the maximum likelihood estimators for the parameters of multivariate generalized Gaussian distributions. ICASSP 2012: 3525-3528 - [c23]Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
:
Low Rank Tensor STAP filter based on multilinear SVD. SAM 2012: 305-308 - [c22]Mélanie Mahot, Frédéric Pascal, Philippe Forster
, Jean Philippe Ovarlez
:
Robust ANMF test using Huber's M-estimator. SAM 2012: 373-376 - [c21]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 background. IGARSS 2012: 4166-4169 - [c20]Joana Frontera-Pons
, Mélanie Mahot, Jean Philippe Ovarlez
, Frédéric Pascal, Jocelyn Chanussot:
Robust detection using M-estimators for hyperspectral imaging. WHISPERS 2012: 1-4 - [i1]Romain Couillet, Frédéric Pascal, Jack W. Silverstein:
Robust M-Estimation for Array Processing: A Random Matrix Approach. CoRR abs/1204.5320 (2012) - 2011
- [j13]Pierre Formont, Frédéric Pascal, Gabriel Vasile
, Jean Philippe Ovarlez
, Laurent Ferro-Famil:
Statistical Classification for Heterogeneous Polarimetric SAR Images. IEEE J. Sel. Top. Signal Process. 5(3): 567-576 (2011) - [j12]Gabriel Vasile
, Frédéric Pascal, Jean Philippe Ovarlez
, Pierre Formont, Michel Gay:
Optimal Parameter Estimation in Heterogeneous Clutter for High-Resolution Polarimetric SAR Data. IEEE Geosci. Remote. Sens. Lett. 8(6): 1046-1050 (2011) - [j11]Guilhem Pailloux, Philippe Forster
, Jean Philippe Ovarlez
, Frédéric Pascal:
Persymmetric Adaptive Radar Detectors. IEEE Trans. Aerosp. Electron. Syst. 47(4): 2376-2390 (2011) - [j10]Jean Philippe Ovarlez
, Frédéric Pascal, Philippe Forster
, Guillaume Ginolhac, Mélanie Mahot:
Traitement STAP et modélisation SIRV : robustesse et persymétrie. Traitement du Signal 28(1-2): 113-142 (2011) - [j9]Guillaume Ginolhac, Philippe Forster
, Jean Philippe Ovarlez
, Frédéric Pascal:
STAP à rang réduit, robuste et persymétrique. Traitement du Signal 28(1-2): 143-170 (2011) - [c19]Mélanie Mahot, Frédéric Pascal, Philippe Forster
, Jean Philippe Ovarlez
:
Robust covariance matrix estimates with attractive asymptotic properties. CAMSAP 2011: 305-308 - [c18]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. IGARSS 2011: 1361-1364 - [c17]Gabriel Vasile
, Frédéric Pascal, Jean Philippe Ovarlez
, Pierre Formont:
Heterogeneous clutter model for high resolution polarimetric SAR data processing. IGARSS 2011: 3744-3747 - [c16]Jean Philippe Ovarlez
, Sze Kim Pang, Frédéric Pascal, Véronique Achard, T. K. Ng:
Robust detection using the SIRV background modelling for hyperspectral imaging. IGARSS 2011: 4316-4319 - 2010
- [j8]Chin Yuan Chong, Frédéric Pascal, Jean Philippe Ovarlez
, Marc Lesturgie:
MIMO Radar Detection in Non-Gaussian and Heterogeneous Clutter. IEEE J. Sel. Top. Signal Process. 4(1): 115-126 (2010) - [j7]Frédéric Pascal, Hugo Harari-Kermadec
, Pascal Larzabal:
The Empirical Likelihood method applied to covariance matrix estimation. Signal Process. 90(2): 566-578 (2010) - [j6]Frédéric Pascal, Alexandre Renaux
:
Statistical analysis of the covariance matrix MLE in K-distributed clutter. Signal Process. 90(4): 1165-1175 (2010) - [j5]Gabriel Vasile
, Jean Philippe Ovarlez
, Frédéric Pascal, Celine Tison:
Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images. IEEE Trans. Geosci. Remote. Sens. 48(4-1): 1809-1826 (2010) - [c15]Mélanie Mahot, Philippe Forster, Jean Philippe Ovarlez, Frédéric Pascal:
Robustness analysis of covariance matrix estimates. EUSIPCO 2010: 646-650 - [c14]C. Y. Chong, Frédéric Pascal, Jean Philippe Ovarlez, Marc Lesturgie:
Properties of robust MIMO detector. EUSIPCO 2010: 1068-1072 - [c13]Chin Yuan Chong, Frédéric Pascal, Jean Philippe Ovarlez
, Marc Lesturgie:
Robust MIMO radar detection for correlated subarrays. ICASSP 2010: 2786-2789 - [c12]Gabriel Vasile
, Frédéric Pascal, Jean Philippe Ovarlez
, Steeve Zozor, Michel Gay:
Optimal parameter estimation in heterogeneous clutter for high resolution polarimetric SAR data. IGARSS 2010: 855-858 - [c11]Pierre Formont, Jean Philippe Ovarlez
, Frédéric Pascal, Gabriel Vasile
, Laurent Ferro-Famil:
A test statistic for high resolution polarimetric SAR data classification. IGARSS 2010: 1871-1874 - [c10]Lionel Bombrun
, Gabriel Vasile
, Michel Gay, Jean Philippe Ovarlez
, Frédéric Pascal:
Roll invariant target detection based on PolSAR clutter models. IGARSS 2010: 2511-2514
2000 – 2009
- 2009
- [c9]Guillaume Ginolhac, Philippe Forster
, Jean Philippe Ovarlez
, Frédéric Pascal:
Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter. ICASSP 2009: 2045-2048 - [c8]Lionel Bombrun
, Jean-Marie Beaulieu, Gabriel Vasile
, Jean Philippe Ovarlez
, Frédéric Pascal, Michel Gay:
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models. IGARSS (3) 2009: 5-8 - [c7]Gabriel Vasile
, Jean Philippe Ovarlez, Frédéric Pascal:
Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes. IGARSS (3) 2009: 963-966 - 2008
- [j4]Frédéric Pascal, Yacine Chitour, Jean Philippe Ovarlez
, Philippe Forster
, Pascal Larzabal:
Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis. IEEE Trans. Signal Process. 56(1): 34-48 (2008) - [j3]Frédéric Pascal, Philippe Forster
, Jean Philippe Ovarlez
, Pascal Larzabal:
Performance Analysis of Covariance Matrix Estimates in Impulsive Noise. IEEE Trans. Signal Process. 56(6): 2206-2217 (2008) - [j2]Yacine Chitour, Frédéric Pascal:
Exact Maximum Likelihood Estimates for SIRV Covariance Matrix: Existence and Algorithm Analysis. IEEE Trans. Signal Process. 56(10-1): 4563-4573 (2008) - [c6]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. EUSIPCO 2008: 1-5 - [c5]Guilhem Pailloux, Philippe Forster
, Jean Philippe Ovarlez
, Frédéric Pascal:
On persymmetric covariance matrices in adaptive detection. ICASSP 2008: 2305-2308 - [c4]Gabriel Vasile
, Jean Philippe Ovarlez
, Frédéric Pascal, Celine Tison, Lionel Bombrun
, Michel Gay, Emmanuel Trouvé:
Normalized Coherency Matrix Estimation Under the SIRV Model. Alpine Glacier Polsar Data Analysis. IGARSS (1) 2008: 74-77 - 2007
- [j1]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. IEEE Signal Process. Lett. 14(6): 425-428 (2007) - 2006
- [c3]Frédéric Pascal, Jean Philippe Ovarlez, Philippe Forster, Pascal Larzabal:
On a SIRV-CFAR detector with radar experimentations in impulsive clutter. EUSIPCO 2006: 1-5 - 2005
- [c2]Frédéric Pascal, Philippe Forster
, Jean Philippe Ovarlez
, Pascal Larzabal:
Theoretical analysis of an improved covariance matrix estimator in non-Gaussian noise [radar detection applications]. ICASSP (4) 2005: 69-72 - 2004
- [c1]Frédéric Pascal, Jean Philippe Ovarlez, Philippe Forster, Pascal Larzabal:
Constant false alarm rate detection in Spherically Invariant Random Processes. EUSIPCO 2004: 2143-2146
Coauthor Index
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