Alexandre RENAUX
I studied electrical engineering at école normale supérieure de Paris-Saclay (formerly école normale supérieure de Cachan), France, from 1999 to 2006 -B.Sc., M.Sc., Agrégation (a French stuff), and Ph.D.- From 2006 to 2007, I was postdoc researcher at Washington University in St. Louis, MO, USA. Since 2007, I teach at Université Paris-Saclay (formerly Université Paris-Sud), France and my research lab is the laboratory of signals and systems located at CentraleSupelec. I'm interested by/in noisy electrical signals parameters estimation (mainly the calculus of statistical errors).
alexandre.renaux@l2s.centralesupelec.fr
L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
POMDP-Driven cognitive massive MIMO radar: joint target detection-tracking in unknown disturbances
Cramér-Rao Bound for Lie Group Parameter Estimation With Euclidean Observations and Unknown Covariance Matrix
Radar MIMO massif cognitif : détection et suivi conjoints de cibles dans des perturbations inconnues
La borne bayesienne de Schützenberger-van Trees : Un principe d’incertitude sur l’a posteriori
New Insights into Lower Bound for Lie Groups and their Applications
Joint multi-target detection-tracking in cognitive massive MIMO radar via POMCP
Intrinsic Bayesian Cramér-Rao Bound with an Application to Covariance Matrix Estimation
Cramér-Rao Bound for Lie Group Parameter Estimation with Euclidean Observations and Unknown Covariance Matrix
Full Slepian-Bangs Formula for Fisher Information on Lie Groups
An Intrinsic Modified Cramér-Rao Bound on Lie Groups
The Fisher-Rao geometry of CES distributions
A Bayesian Lower Bound for Parameter Estimation of Poisson Data Including Multiple Changes (extended)
Barankin, McAulay–Seidman and Cramér–Rao bounds on matrix Lie groups
Intrinsic Slepian-Bangs type formula for parameters on LGs with unknown measurement noise variance
Borne de Cramér-Rao sur groupe de Lie avec observations sur groupe de Lie : application à SO(2)
Cramér-Rao Bound on Lie Groups with Observations on Lie Groups: Application to SE(2)
Joint Estimation of Location and Scatter in Complex Elliptical Distributions: A robust semiparametric and computationally efficient R-estimator of the shape matrix
Etude à distance finie d’un R-estimateur pour la matrice de forme des distributions symétriques elliptiques complexes
A Riemannian Framework for Low-Rank Structured Elliptical Models
A Riemannian approach to blind separation of t-distributed sources
Properties of a new R-estimator of shape matrices
Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions
ROBUST SEMIPARAMETRIC JOINT ESTIMATORS OF LOCATION AND SCATTER IN ELLIPTICAL DISTRIBUTIONS
Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sources
Robust Semiparametric DOA Estimation in non-Gaussian Environment
A Hybrid Lower Bound for Parameter Estimation of Signals With Multiple Change-Points
Intrinsic Cramér–Rao bounds for scatter and shape matrices estimation in CES distributions
An example of non-standard behavior of a maximum likelihood estimator in the large sample regime
Bornes de Cramér-Rao Intrinsèques pour l’estimation de la matrice de dispersion normalisée dans les distributions elliptiques
Designing Sar Images Change-point Estimation Strategies Using an Mse Lower Bound
On the Maximum Likelihood Estimator Statistics for Unimodal Elliptical Distributions in the High Signal-to-Noise Ratio Regime
Slepian-Bangs-type formulas and the related Misspecified Cramér-Rao Bounds for Complex Elliptically Symmetric distributions
Prior influence on Weiss-Weinstein bounds for multiple change-point estimation
Generalized conditionnal maximum likelihood estimators in the large sample regime
Performance bounds for change point and time delay estimation
A class of Weiss-Weinstein bounds and its relationship with the Bobrovsky-Mayer-Wolf-Zakai bounds
On lower bounds for non-standard deterministic estimation
Weiss-Weinstein bound on multiple change-points estimation
Borne de Cramér-Rao intrinsèque pour la matrice de covariance des distributions elliptiques complexes
Bornes bayésiennes pour la localisation d’un point de rupture : Application à des processus exponentiels
Estimation accuracy of non-standard maximum likelihood estimators
A bayesian lower bound for parameter estimation of Poisson data including multiple changes
Lower bounds for non-standard deterministic estimation
Weiss-Weinstein bound for an abrupt unknown frequency change
Recursive hybrid CRB for Markovian systems with time-variant measurement parameters
Hybrid Barankin-Weiss-Weinstein bounds
Recursive hybrid Cramer-Rao bound for discrete-time Markovian dynamic systems
Weiss-Weinstein bound for change-point estimation
Une nouvelle approche de résolution limite dans le cadre d’estimation paramétrique multidimensionnelle
Borne de Cramér-Rao sous contraintes pour l’estimation simultanée de paramètres aléatoires et non aléatoires
CentraleSupélec,
3, rue Joliot Curie,
91190 Gif-sur-Yvette
Supporting institutes
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