output
20122022
most citedControlling diffraction patterns with metagratings

155 citations

15 papers

cs.LG2022★ 4 cited

Riemannian optimization for non-centered mixture of scaled Gaussian distributions

Antoine Collas, Arnaud Breloy, Chengfang Ren +2

This paper studies the statistical model of the non-centered mixture of scaled Gaussian distributions (NC-MSG). Using the Fisher-Rao information geometry associated to this distrib…

stat.ML2022

Robust Geometric Metric Learning

Antoine Collas, Arnaud Breloy, Guillaume Ginolhac +2

This paper proposes new algorithms for the metric learning problem. We start by noticing that several classical metric learning formulations from the literature can be viewed as mo…

physics.app-ph2020★ 36 cited

Conformal sparse metasurfaces for wavefront manipulation

Vladislav Popov, Shah Nawaz Burokur, Fabrice Boust

While flat metasurfaces are intensively studied, theoretical modelling of conformal metasurfaces appears to be exceptionally challenging where it demands accurate analysis of the m…

physics.app-ph2019★ 33 cited

Omega-bianisotropic metasurface for converting a propagating wave into a surface wave

Vladislav Popov, Ana Díaz-Rubio, Viktar Asadchy +4

Although a rigorous theoretical ground on metasurfaces has been established in the recent years on the basis of the equivalence principle, the majority of metasurfaces for converti…

physics.app-ph2019★ 62 cited

Beamforming with metagratings at microwave frequencies: design procedure and experimental demonstration

Vladislav Popov, Fabrice Boust, Shah Nawaz Burokur

As opposed to metasurfaces, metagratings represent themselves sparse arrangements of scatterers. Established rigorous analytical models allow metagratings to overcome performance o…

physics.app-ph2018★ 72 cited

Designing Metagratings Via Local Periodic Approximation: From Microwaves to Infrared

Vladislav Popov, Marina Yakovleva, Fabrice Boust +3

Recently, metamaterials-inspired diffraction gratings (or metagratings) have demonstrated unprecedented efficiency in wavefront manipulation by means of relatively simple structure…

physics.app-ph2018★ 81 cited

Constructing the Near field and Far field with Reactive Metagratings: Study on the Degrees of Freedom

Vladislav Popov, Fabrice Boust, Shah Nawaz Burokur

We report that metamaterial-inspired one-dimensional gratings (or metagratings) can be used to control nonpropagating diffraction orders as well as propagating ones. By accurate en…

eess.SP2018

Iterative Marginal Maximum Likelihood DOD and DOA Estimation for MIMO Radar in the Presence of SIRP Clutter

Bruno Mériaux, Xin Zhang, Mohammed Nabil El Korso +1

The spherically invariant random process (SIRP) clutter model is commonly used in scenarios where the radar clutter cannot be correctly modeled as a Gaussian process. In this short…

eess.IV2018

Target And Background Separation in Hyperspectral Imagery for Automatic Target Detection

Ahmad W. Bitar, Loong-Fah Cheong, Jean-Philippe Ovarlez

In this paper, we propose a method for separating known targets of interests from the background in hyperspectral imagery. More precisely, we regard the given hyperspectral image (…

physics.app-ph2018★ 155 cited

Controlling diffraction patterns with metagratings

V. Popov, F. Boust, S. N. Burokur

In this study we elaborate on the recent concept of metagratings proposed in Ra'di et al. [Phys. Rev. Lett. 119, 067404 (2017)] for efficient manipulation of reflected waves. Basic…

eess.IV2017★ 75 cited

Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery

Ahmad W. Bitar, Loong-Fah Cheong, Jean-Philippe Ovarlez

Given a target prior information, our goal is to propose a method for automatically separating targets of interests from the background in hyperspectral imagery. More precisely, we…

stat.AP2013★ 128 cited

Generalized robust shrinkage estimator and its application to STAP detection problem

Frederic Pascal, Yacine Chitour, Yihui Quek

Recently, in the context of covariance matrix estimation, in order to improve as well as to regularize the performance of the Tyler's estimator [1] also called the Fixed-Point Esti…

stat.AP2013★ 143 cited

Parameter Estimation For Multivariate Generalized Gaussian Distributions

F. Pascal, L. Bombrun, J. Y. Tourneret +1

Due to its heavy-tailed and fully parametric form, the multivariate generalized Gaussian distribution (MGGD) has been receiving much attention for modeling extreme events in signal…

stat.AP2012★ 89 cited

Asymptotic properties of robust complex covariance matrix estimates

Melanie Mahot, Philippe Forster, Frederic Pascal +1

In many statistical signal processing applications, the estimation of nuisance parameters and parameters of interest is strongly linked to the resulting performance. Generally, the…

cs.IT2012★ 52 cited

Robust Estimates of Covariance Matrices in the Large Dimensional Regime

Romain Couillet, Frederic Pascal, Jack W. Silverstein

This article studies the limiting behavior of a class of robust population covariance matrix estimators, originally due to Maronna in 1976, in the regime where both the number of a…