16 citations · 16 across the 6 of their papers we have counts for
4 papers · 1 filter
Robust Semiparametric DOA Estimation in non-Gaussian Environment
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
A general non-Gaussian semiparametric model is adopted to characterize the measurement vectors, i.e.\ the \textit{snapshots}, collected by a linear array. Moreover, the recently de…
Properties of a new -estimator of shape matrices
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
This paper aims at presenting a simulative analysis of the main properties of a new -estimator of shape matrices in Complex Elliptically Symmetric (CES) distributed observations…
Robust Semiparametric Efficient Estimators in Elliptical Distributions
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
Covariance matrices play a major role in statistics, signal processing and machine learning applications. This paper focuses on the \textit{semiparametric} covariance/scatter matri…
A Riemannian Framework for Low-Rank Structured Elliptical Models
Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac +2
This paper proposes an original Riemmanian geometry for low-rank structured elliptical models, i.e., when samples are elliptically distributed with a covariance matrix that has a l…