We consider the problem of locating perfectly conducting cracks and estimating their
geometric features from multistatic response matrix measurements at a single or multiple …

We consider the shape-topological control of a singularly perturbed variational inequality.
The geometry-dependent state problem that we address in this paper concerns a …

Multi-frequency subspace migration imaging techniques are usually adopted for the non-
iterative imaging of unknown electromagnetic targets, such as cracks in concrete walls or …

In this contribution, we consider MUltiple SIgnal Classification (MUSIC)-type algorithm for a
non-iterative microwave imaging of small and arbitrary shaped extended anomalies located …

We give an update on recent techniques which use a level set representation of shapes for
solving inverse scattering problems, completing in that matter the exposition made in (Dorn …

We propose a non-iterative MUSIC (MUltiple SIgnal Classification)-type algorithm for the
time-harmonic electromagnetic imaging of one or more perfectly conducting, arc-like cracks …

In this study, we investigate MUltiple SIgnal Classification (MUSIC) operated at a fixed
frequency for identifying the locations of short, linear perfectly conducting cracks in limited …

The orthogonality sampling method (OSM) is a recently developed non-iterative technique
for imaging and identifying targets in inverse scattering problems. In this paper, a set of short …

Motivated by the biomedical engineering used in early-stage breast cancer detection, we
investigated the use of MUltiple SIgnal Classification (MUSIC) algorithm for location …

The main purpose of this paper is to study the structure of the well-known noniterative
MUltiple SIgnal Classification (MUSIC) algorithm for identifying the shape of extended …