We propose a new image recovery method to improve the resolution in microwave imaging
applications. Scattered field data obtained from a simplified breast model with closely …

Compressive sensing (CS)-based techniques can represent a very attractive approach to
inverse scattering problems. In fact, if the unknown has a sparse representation and the …

In this article, we describe recent advances regarding a novel microwave imaging system
intended to be used for in‐depth inspection of breast tissues. The system is made of a …

Conventional sampling techniques are based on Shannon-Nyquist theory which states that
the required sampling rate for perfect recovery of a band-limited signal is at least twice its …

We propose a new inverse scattering technique based on sparsity for the application of
microwave imaging. The underdetermined inverse problem appeared in the distorted born …

Adaptive thresholding methods have proved to yield high SNRs and fast convergence in
finding the solution to the Compressed Sensing (CS) problems. Recently, it was observed …

This paper presents recent results from the application of new linear inversion methods to
the Distorted Born Iterative Method (DBIM) for quantitative microwave breast imaging. We …

An innovative approach exploiting the Compressive Sensing theory in the solution of the
non linear inverse scattering problem is presented. In fact, the proposed approach tackles …

The inverse problem in MicroWave Imaging (MWI) is an ill-posed one which can be solved
with the aid of the sparsity prior of the solution. In this paper, an Iterative Least Squares …

Sparse signal processing has found various applications in different research areas where
the sparsity of the signal of interest plays a significant role in addressing their ill-posedness …