Nearfield acoustic holography based on the compressed sensing theory can realize the
accurate reconstruction of sound fields with fewer measurement points on the premise that …

This paper introduces a sparse scene reconstruction algorithm for automobile frequency-
modulated continuous-wave synthetic aperture radar (FMCW SAR) through scaled …

In this paper, we consider the problem of throughwall radar imaging (TWRI) with an antenna
array and develop a distributed greedy algorithm named hybrid matching pursuit (HMP). By …

Block sparse Bayesian learning (SBL) equivalent source method (ESM) suffers from the
block structure mismatch problem that leads to poor sound field reconstruction accuracy for …

Titanium alloy Ti-6Al-4V, an alpha-beta alloy, possesses ductile deformation behavior and
offers advantageous properties, light weight but high strength, good resilience, and …

To overcome the contradiction between the resolution and the measurement cost, various
algorithms for reconstructing the sound field with sparse measurement have been …

In both lensless Fourier transform holography (FTH) and coherent diffraction imaging (CDI),
a beamstop is used to block strong intensities which exceed the limited dynamic range of the …

In this paper, we propose a novel greedy algorithm referred to as look-ahead hybrid
matching pursuit (LAHMP) for multipolarization through-wall radar imaging (TWRI). From the …

Correntropy is a similarity function capable of extracting high-order statistical information
from data. It has been used in different kinds of applications as a cost function to overcome …

Electromagnetic interference (EMI) can disrupt the operation and reliability of electronic
devices, thus effective shielding and detection of EMI sources are crucial to mitigate these …