Several problems arising in electromagnetics can be directly formulated or suitably recast for
an effective solution within the compressive sensing (CS) framework. This has motivated a …

In this paper, a new approach based on the Bayesian compressive sampling (BCS) and
within the contrast source formulation of an inverse scattering problem is proposed for …

The problem of imaging two-dimensional “non-sparse” scatterers with piecewise-constant
contrast is solved through an innovative total-variation compressive sensing (TV-CS) …

An innovative three-step technique based on the multi-task Bayesian compressive sensing
(MT-BCS) strategy is introduced to image 2D-sparse dielectric profiles. The proposed …

The application of the compressive sensing (CS) paradigm to retrieve non-single-pixels
contrast profiles is discussed. By exploiting a wavelet representation to model complex …

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

In microwave breast cancer imaging magnetic nanoparticles have been recently proposed
as contrast agent. Due to the non-magnetic nature of human tissues, magnetic nanoparticles …

Inverse scattering problems suffer from ill-posedness and ill-conditioning, necessitating the
use of regularization methods to get meaningful solutions. Commonly used regularizations …

Source localization by matched-field processing (MFP) generally involves solving a number
of computationally intensive partial differential equations. This paper introduces a technique …

We develop a new algorithm for ultra-wideband (UWB) microwave imaging of breast cancer
tumors using Bayesian inverse scattering. A key feature of the proposed algorithm is that …