Performances of Low Rank Detectors Based on Random Matrix Theory with Application to STAP

Robust clustering and outlier rejection using the Mahalanobis distance distribution

Estimation robuste dans le régime des grandes matrices aléatoires

A Joint Robust Estimation and Random Matrix Framework with Application to Array Processing

Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry

Random matrix theory applied to low rank stap detection

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

ROBUST SEMIPARAMETRIC JOINT ESTIMATORS OF LOCATION AND SCATTER IN ELLIPTICAL DISTRIBUTIONS

Théorie des Matrices Aléatoires Appliquée à la Détection STAP Rang Faible

Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions

New insights into the statistical properties of M-estimators

On the performance of robust plug-in detectors using M-estimators

Complex elliptically symmetric distributions and their applications in signal processing

Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions

Optimal Design of Adaptive Normalized Matched Filter For Large Antenna Arrays

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

Shrinking the eigenvalues of M-estimators of covariance matrix

Regularized EM Algorithm

Etude à distance finie d'un R-estimateur pour la matrice de forme des distributions symétriques elliptiques complexes

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

Properties of a new R-estimator of shape matrices

Joint Estimation of Location and Scatter in Complex Elliptical Distributions: A robust semiparametric and computationally efficient R-estimator of the shape matrix

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

Random matrix theory improved Fréchet mean of symmetric positive definite matrices

On the Asymptotics of Maronna's Robust PCA

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

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

Riemannian classification of EEG signals with missing values

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

Convergence and Fluctuations of Regularized Tyler Estimators

M-Estimators of Scatter with Eigenvalue Shrinkage

Filtres adaptatifs rang faible : analyse de performances en grandes dimensions

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

Développement de Filtres STAP Tensoriels Appliqués à des Données Multidimensionnelles

Riemannian framework for robust covariance matrix estimation in spiked models

Théorie des matrices aléatoires robustes et applications à la détection radar 1

Optimal Design of the Adaptive Normalized Matched Filter Detector

Détection et Estimation en Environnement non Gaussien

Distribution matricielle t-Wishart : géométrie d'information, estimation et application pour la classification de signaux EEG

Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime

Caractérisations asymptotiques pour les composantes principales des M -estimateurs

A bias-compensated MUSIC for small number of samples

PCA-based Multi Task Learning: a Random Matrix Approach

On the resolvability of closely spaced targets using a colocated MIMO radar

A Comparative Study of Statistical-Based Change Detection Methods for Multidimensional and Multitemporal SAR Images

Résolution limite dans un contexte de localisation active de sources

MIMO Filters based on Robust Rank-Constrained Kronecker Covariance Matrix Estimation

Blind separation with angular criteria

On the use of Empirical Likelihood for non-Gaussian clutter covariance matrix estimation

A New Tool for Multidimensional Low-Rank STAP Filter: Cross HOSVDs