Frédéric Pascal

发表

A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images

Jean-Yves Tourneret, Jorge Prendes, Marie Chabert, 2016, SIAM J. Imaging Sci..

Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix

Esa Ollila, Frédéric Pascal, Arnaud Breloy, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Robust M-estimator of scatter for large elliptical samples

Romain Couillet, Frédéric Pascal, R. Couillet, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

MIMO Radar Detection in Non-Gaussian and Heterogeneous Clutter

C. Y. Chong, Marc Lesturgie, Frédéric Pascal, 2010, IEEE Journal of Selected Topics in Signal Processing.

CFAR hierarchical clustering of polarimetric SAR data

Jocelyn Chanussot, Miguel Angel Veganzones, Joana Frontera-Pons, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Asymptotic performance of the Low Rank Adaptive Normalized Matched Filter in a large dimensional regime

Marc Lesturgie, Guillaume Ginolhac, Frédéric Pascal, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The random matrix regime of Maronna's M-estimator with elliptically distributed samples

Romain Couillet, Frédéric Pascal, Jack W. Silverstein, 2013, J. Multivar. Anal..

Parameter Estimation For Multivariate Generalized Gaussian Distributions

Jean-Yves Tourneret, Yannick Berthoumieu, Lionel Bombrun, 2013, IEEE Transactions on Signal Processing.

Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter

Frédéric Pascal, Arnaud Breloy, Jean Philippe Ovarlez, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

STAP à rang réduit, robuste et persymétrique

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2011, Traitement du Signal.

Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models

Guillaume Ginolhac, Frédéric Pascal, Arnaud Breloy, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

New asymptotic properties for the robust ANMF

Jean-Yves Tourneret, Frédéric Pascal, Arnaud Breloy, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Asymptotic Properties of Robust Complex Covariance Matrix Estimates

Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez, 2012, IEEE Transactions on Signal Processing.

A Toeplitz-Tyler Estimation of the Model Order in Large Dimensional Regime

Frédéric Pascal, Jean Philippe Ovarlez, Eugenie Terreaux, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust M-Estimation for Array Processing: A Random Matrix Approach pdf

Romain Couillet, Frédéric Pascal, Jack W. Silverstein, 2012, ArXiv.

Statistical analysis of the covariance matrix MLE in K-distributed clutter

Alexandre Renaux, Frédéric Pascal, F. Pascal, 2010, Signal Process..

Exact Maximum Likelihood Estimates for SIRV Covariance Matrix: Existence and Algorithm Analysis

Yacine Chitour, Frédéric Pascal, Y. Chitour, 2008, IEEE Transactions on Signal Processing.

CFAR Clustering of Polarimetric SAR Data

Jocelyn Chanussot, Miguel Angel Veganzones, Joana Frontera-Pons, 2013 .

Normalized Coherency Matrix Estimation Under the SIRV Model. Alpine Glacier Polsar Data Analysis

Gabriel Vasile, Emmanuel Trouvé, Celine Tison, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

The Empirical Likelihood method applied to covariance matrix estimation

Pascal Larzabal, Frédéric Pascal, Hugo Harari-Kermadec, 2010, Signal Process..

Derivation of the Bias of the Normalized Sample Covariance Matrix in a Heterogeneous Noise With Application to Low Rank STAP Filter

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2012, IEEE Transactions on Signal Processing.

Robust detection using M-estimators for hyperspectral imaging

Jocelyn Chanussot, Joana Frontera-Pons, Frédéric Pascal, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

Optimal adaptive normalized matched filter for large antenna arrays

Mohamed-Slim Alouini, Romain Couillet, Abla Kammoun, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

On the extension of the product model in POLSAR processing for unsupervised classification using information geometry of covariance matrices

Laurent Ferro-Famil, Gabriel Vasile, Frédéric Pascal, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Robust clustering and outlier rejection using the Mahalanobis distance distribution

Matthieu Jonckheere, Frédéric Pascal, Violeta Roizman, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Deep robust regression

Ami Wiesel, Frédéric Pascal, Gordana Draskovic, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Hierarchical segmentation of Polarimetric SAR images using heterogeneous clutter models

Gabriel Vasile, Lionel Bombrun, Frédéric Pascal, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Improving Portfolios Global Performance with Robust Covariance Matrix Estimation: Application to the Maximum Variety Portfolio

Frédéric Pascal, Jean Philippe Ovarlez, Emmanuelle Jay, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Recent advances in adaptive radar detection

Maria Greco, Jean-Philippe Ovarlez, Frédéric Pascal, 2014 .

Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals

Romain Couillet, Abla Kammoun, Frédéric Pascal, 2016, J. Multivar. Anal..

Heterogeneous clutter model for high resolution polarimetric SAR data processing

Gabriel Vasile, Frédéric Pascal, Pierre Formont, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

New Insights Into the Statistical Properties of $M$-Estimators

Frédéric Pascal, Gordana Drašković, F. Pascal, 2017, IEEE Transactions on Signal Processing.

Asymptotic detection performance of the robust ANMF

Frédéric Pascal, Jean Philippe Ovarlez, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

RMT for whitening space correlation and applications to radar detection

Romain Couillet, Maria Greco, Frédéric Pascal, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Robust Estimates of Covariance Matrices in the Large Dimensional Regime

Romain Couillet, Frédéric Pascal, Jack W. Silverstein, 2012, IEEE Transactions on Information Theory.

New properties for Tyler's covariance matrix estimator

Frédéric Pascal, Gordana Draskovic, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Anomaly detection and estimation in hyperspectral imaging using Random Matrix Theory tools

Frédéric Pascal, Jean Philippe Ovarlez, Eugenie Terreaux, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Robust Semiparametric Joint Estimators of Location and Scatter in Elliptical Distributions

Alexandre Renaux, Stefano Fortunati, Frédéric Pascal, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Complex elliptically symmetric distributions and their applications in signal processing

Esa Ollila, Frédéric Pascal, David E. Tyler, 2014 .

A bias-compensated MUSIC for small number of samples

François Vincent, Olivier Besson, Frédéric Pascal, 2017, Signal Process..

Fusing Eigenvalues

Esa Ollila, Frédéric Pascal, Shahab Basiri, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A joint robust estimation and random matrix framework with application to array processing

Romain Couillet, Frédéric Pascal, Jack W. Silverstein, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Numerical performance of a tensor MUSIC algorithm based on HOSVD for a mixture of polarized sources

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Maximum likelihood estimation of clutter subspace in non homogeneous noise context

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Hyperspectral Anomaly Detectors Using Robust Estimators

Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Performance Analysis of Covariance Matrix Estimates in Impulsive Noise

Philippe Forster, Pascal Larzabal, Frédéric Pascal, 2008, IEEE Transactions on Signal Processing.

Binary partition trees-based robust adaptive hyperspectral RX anomaly detection

Jocelyn Chanussot, Miguel Angel Veganzones, Joana Frontera-Pons, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

On the Asymptotics of Maronna's Robust PCA

Frédéric Pascal, Arnaud Breloy, Gordana Drašković, 2019, IEEE Transactions on Signal Processing.

Shrinkage covariance matrix estimator applied to STAP detection

Yacine Chitour, Frédéric Pascal, Y. Chitour, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

A new tool for multidimensional low-rank STAP filter: Cross HOSVDs

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

On persymmetric covariance matrices in adaptive detection

Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust ANMF Detection in Noncentered Impulsive Background

Joana Frontera-Pons, Frédéric Pascal, Jean-Philippe Ovarlez, 2017, IEEE Signal Processing Letters.

Robust ANMF test using Huber's M-estimator

Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez, 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Multidimensional low-rank filter based on the AU-HOSVD for MIMO STAP

Philippe Forster, Hong-Bo Sun, Guillaume Ginolhac, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Properties of robust MIMO detector

Marc Lesturgie, Frédéric Pascal, Jean Philippe Ovarlez, 2010, 2010 18th European Signal Processing Conference.

Persymmetric Adaptive Radar Detectors

Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Convergence and Fluctuations of Regularized Tyler Estimators

Mohamed-Slim Alouini, Romain Couillet, Abla Kammoun, 2016, IEEE Transactions on Signal Processing.

Traitement STAP et modélisation SIRV : robustesse et persymétrie

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2011, Traitement du Signal.

$M$ -NL: Robust NL-Means Approach for PolSAR Images Denoising

Florence Tupin, Frédéric Pascal, Gordana Drašković, 2019, IEEE Geoscience and Remote Sensing Letters.

Random matrix theory applied to low rank stap detection

Marc Lesturgie, Guillaume Ginolhac, Frédéric Pascal, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

New Low-Rank Filters for MIMO-STAP Based on an Orthogonal Tensorial Decomposition

Guillaume Ginolhac, Frédéric Pascal, Maxime Boizard, 2018, IEEE Transactions on Aerospace and Electronic Systems.

False-alarm regulation for target detection in hyperspectral imaging

Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Optimal Parameter Estimation in Heterogeneous Clutter for High-Resolution Polarimetric SAR Data

Gabriel Vasile, Steeve Zozor, Frédéric Pascal, 2011, IEEE Geoscience and Remote Sensing Letters.

CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

A class of robust estimates for detection in hyperspectral images using elliptical distributions background

Jocelyn Chanussot, Joana Frontera-Pons, Sze Kim Pang, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Performance analysis of robust detectors for hyperspectral imaging

Jocelyn Chanussot, Joana Frontera-Pons, Frédéric Pascal, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors

Jean-Yves Tourneret, Jorge Prendes, Marie Chabert, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Constant false alarm rate detection in Spherically Invariant Random Processes

Philippe Forster, Pascal Larzabal, Frédéric Pascal, 2004, 2004 12th European Signal Processing Conference.

Optimal parameter estimation in heterogeneous clutter for high resolution polarimetric SAR data

Gabriel Vasile, Frédéric Pascal, Pierre Formont, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Performance of Two Low-Rank STAP Filters in a Heterogeneous Noise

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2013, IEEE Transactions on Signal Processing.

A test statistic for high resolution polarimetric SAR data classification

Laurent Ferro-Famil, Gabriel Vasile, Frédéric Pascal, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Estimation and segmentation in non-Gaussian POLSAR clutter by SIRV stochastic processes

Gabriel Vasile, Frédéric Pascal, Jean Philippe Ovarlez, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Roll invariant target detection based on PolSAR clutter models

Gabriel Vasile, Lionel Bombrun, Frédéric Pascal, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

First- and Second-Order Moments of the Normalized Sample Covariance Matrix of Spherically Invariant Random Vectors

Philippe Forster, Pascal Larzabal, Frédéric Pascal, 2007, IEEE Signal Processing Letters.

Performance of the Low-Rank Adaptive Normalized Matched Filter Test Under a Large Dimension Regime

Guillaume Ginolhac, Frédéric Pascal, Alice Combernoux, 2019, IEEE Transactions on Aerospace and Electronic Systems.

Second order statistics of bilinear forms of robust scatter estimators

Romain Couillet, Abla Kammoun, Frédéric Pascal, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-rank filter and detector for multidimensional data based on an alternative unfolding HOSVD: application to polarimetric STAP

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2014, EURASIP J. Adv. Signal Process..

Robust MIMO radar detection for correlated subarrays

C. Y. Chong, Marc Lesturgie, Frédéric Pascal, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Change detection for optical and radar images using a Bayesian nonparametric model coupled with a Markov random field

Jean-Yves Tourneret, Jorge Prendes, Marie Chabert, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems

Prabhu Babu, Daniel Pérez Palomar, Guillaume Ginolhac, 2016, IEEE Transactions on Signal Processing.

A new clustering algorithm for PolSAR images segmentation

Frédéric Pascal, Violeta Roizman, Gordana Draskovic, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Low Rank Tensor STAP filter based on multilinear SVD

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).

On a SIRV-CFAR detector with radar experimentations in impulsive clutter

Philippe Forster, Pascal Larzabal, Frédéric Pascal, 2006, 2006 14th European Signal Processing Conference.

Théorie des matrices aléatoires robustes et applications à la détection radar

Abla Kammoun, Frédéric Pascal, 2016, Traitement du Signal.

Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis

Philippe Forster, Pascal Larzabal, Yacine Chitour, 2008, IEEE Transactions on Signal Processing.

A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors

Jean-Yves Tourneret, Jorge Prendes, Marie Chabert, 2015, IEEE Transactions on Image Processing.

Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions

Alexandre Renaux, Stefano Fortunati, Frédéric Pascal, 2020, IEEE Transactions on Signal Processing.

New model order selection in large dimension regime for complex elliptically symmetric noise

Frédéric Pascal, Jean Philippe Ovarlez, Eugenie Terreaux, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images

Gabriel Vasile, Celine Tison, Frédéric Pascal, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators

Mohamed-Slim Alouini, Romain Couillet, Abla Kammoun, 2018, IEEE Transactions on Aerospace and Electronic Systems.

Exploiting persymmetry for Low-Rank Space Time Adaptive Processing

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A robust signal subspace estimator

Prabhu Babu, Daniel Pérez Palomar, Guillaume Ginolhac, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Asymptotic properties of the robust ANMF

Frédéric Pascal, Jean Philippe Ovarlez, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Theoretical analysis of an improved covariance matrix estimator in non-Gaussian noise [radar detection applications]

Philippe Forster, Pascal Larzabal, Frédéric Pascal, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Performance of the maximum likelihood estimators for the parameters of multivariate generalized Gaussian distributions

Jean-Yves Tourneret, Yannick Berthoumieu, Lionel Bombrun, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robustness analysis of covariance matrix estimates

Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez, 2010, 2010 18th European Signal Processing Conference.

Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context

Philippe Forster, Guillaume Ginolhac, Frédéric Pascal, 2015, IEEE Transactions on Signal Processing.

Adaptive Nonzero-Mean Gaussian Detection

Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Robust detection using the SIRV background modelling for hyperspectral imaging

Sze Kim Pang, Frédéric Pascal, Jean Philippe Ovarlez, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Statistical Classification for Heterogeneous Polarimetric SAR Images

Laurent Ferro-Famil, Gabriel Vasile, Frédéric Pascal, 2011, IEEE Journal of Selected Topics in Signal Processing.

Robust covariance matrix estimates with attractive asymptotic properties

Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez, 2011, 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

On the Convergence of Maronna’s $M$-Estimators of Scatter

Romain Couillet, Yacine Chitour, Frédéric Pascal, 2014, IEEE Signal Processing Letters.

Joint Estimation of Location and Scatter in Complex Elliptically Symmetric Distributions

Alexandre Renaux, Stefano Fortunati, Frédéric Pascal, 2021, Journal of Signal Processing Systems.

MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation

Guillaume Ginolhac, Frédéric Pascal, Arnaud Breloy, 2021, Signal Process..

Improved estimation of the degree of freedom parameter of multivariate $t$-distribution

Daniel Pérez Palomar, Esa Ollila, Frédéric Pascal, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

On Change Detection for Polsar Image Time Series: A New Clustering Approach

Matthieu Jonckheere, Guillaume Ginolhac, Frédéric Pascal, 2021, 2021 IEEE Statistical Signal Processing Workshop (SSP).

A Riemannian Framework for Low-Rank Structured Elliptical Models

Alexandre Renaux, Guillaume Ginolhac, Frédéric Pascal, 2020, IEEE Transactions on Signal Processing.