Microwave imaging (MWI) is a non-ionizing, non-invasive and an upcoming affordable
medical imaging modality. Over the last few decades, MWI has invited active research …

In this paper, to bridge the gap between physical knowledge and learning approaches, we
propose an induced current learning method (ICLM) by incorporating merits in traditional …

This paper presents the experimental validation of a microwave imaging system for real-time
monitoring of brain stroke in the post-acute stage. The system exploits a low-complexity …

Without phase information of the measured field data, the phaseless data inverse scattering
problems (PD-ISPs) counter more serious nonlinearity and ill-posedness compared with full …

Laser-plasma physics has developed rapidly over the past few decades as lasers have
become both more powerful and more widely available. Early experimental and numerical …

Low localization accuracy and instability have always been two primary problems for the
pipeline leak detection and localization method based on the negative pressure wave …

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 …

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 …

To solve the problems of high computational complexity and unstable image quality inherent
in the compressive sensing (CS) method, we propose a complex-valued fully convolutional …

Existing 3-D compressive sensing (CS)-based millimeter-wave (MMW) imaging methods
require a large-scale storage of the sensing matrix and immense computations owing to the …