Since the emergence of wireless communication networks, a plethora of research papers
focus their attention on the quality aspects of wireless links. The analysis of the rich body of …

Complex elliptically symmetric (CES) distributions have been widely used in various
engineering applications for which non-Gaussian models are needed. In this overview …

Anomaly detection methods are devoted to target detection schemes in which no a priori
information about the spectra of the targets of interest is available. This paper reviews …

We develop geometric optimization on the manifold of Hermitian positive definite (HPD)
matrices. In particular, we consider optimizing two types of cost functions:(i) geodesically …

In this paper, we develop a new elegant systematic framework relying on the Kullback-
Leibler Information Criterion to approach the design of one-stage adaptive detection …

A collection of robust Mahalanobis distances for multivariate outlier detection is proposed,
based on the notion of shrinkage. Robust intensity and scaling factors are optimally …

Geodesic convexity is a generalization of classical convexity which guarantees that all local
minima of g-convex functions are globally optimal. We consider g-convex functions with …

This paper presents a new method for estimating high dimensional covariance matrices. The
method, permuted rank-penalized least-squares (PRLS), is based on a Kronecker product …

Frequency diverse array multiple-input multiple-output (FDA-MIMO) radar produces an
angle-range-dependent and time-varying transmit beampattern due to the small frequency …

In this paper, a general class of regularized M-estimators of scatter matrix are proposed that
are suitable also for low or insufficient sample support (small n and large p) problems. The …