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

This paper addresses the subject of electromagnetic wave scattering in layered media, thus
covering the recent progress achieved with different approaches. Existing theories and …

Full-wave electromagnetic (EM) analysis is a versatile tool for evaluating the performance of
high-frequency components. Its potential drawback is its high computational cost, inhibiting …

A new approach for position and shape reconstruction of both penetrable and impenetrable
objects from the measurements of the scattered fields is introduced and described. The …

The linear sampling method (LSM) is a qualitative inverse scattering technique that can
create good-fidelity imagery at low computational expense. However, it is challenging to use …

Perfect electric conductors (PECs) are reconstructed integrating the subspace-based
optimization method (SOM) within the iterative multiscaling approach (IMSA). Without a priori …

The linear sampling method (LSM) is a qualitative inverse scattering technique for
reconstructing the shape of a target. It has several beneficial qualities, including the …

The low-dimensional-model-based electromagnetic imaging is an emerging member of the
big family of computational imaging, by which the low-dimensional models of underlying …

We present a formulation of the linear sampling method (LSM) for imaging conducting
targets using a spatially sparse set of receive locations. The technique mitigates the lack of …

In this paper, we present a novel method for microwave imaging using sensors with
transverse electric (TE) polarization. The method is applicable to metallic and dielectric …