Nonlinear electromagnetic (EM) inverse scattering is a quantitative and super-resolution
imaging technique, in which more realistic interactions between the internal structure of …

This article covers recent advances in the fusion of metasurface antenna design and
computational imaging (CI) concepts for the realization of imaging systems that are planar …

Compressive sensing (CS) is currently one the most active research fields in information
engineering and science. The flexibility, robustness, accuracy, effectiveness, and sound …

The main objective of this work is to improve and evaluate the effectiveness of the neural
network (NN) architecture in the domain of estimation of direction of arrival (DOA), with an …

In this article, a hierarchical stochastic optimization algorithm for profiling of multiple high-
contrast buried objects in large investigation domains (IDs) is presented. As this problem is …

The real-time retrieval of the characteristics of a defect with eddy current testing in a
nondestructive testing and evaluation framework is addressed. An innovative statistical …

The problem of imaging arbitrary-shaped targets is addressed through a methodological
generalization of the compressive sensing (CS) paradigm. The Color CS (C-CS) …

The detection of faulty radiators in planar antenna arrays is addressed in a probabilistic
framework and it is solved through an innovative multitask Bayesian compressive sensing …

The problem of imaging nonweak scatterers in the compressive sensing (CS) framework,
without recurring to the contrast-source formulation, is addressed by means of an innovative …

The solution of electromagnetic (EM) inverse scattering problems is hindered by challenges,
such as ill-posedness, nonlinearity, and high computational costs. Recently, deep learning …