From the 2 of 5 linked papers with an AI index.
5 papers
A novel sampling method for reconstruction of a moving point acoustic source in
Guanqiu Ma, Shuang Li, Hongxia Guo
The paper proposes a new sampling technique that recovers the 3‑D trajectory and emission times of a moving acoustic point source using data from only five observation points, offe…
Reconstruct the ambient noise source from the multi-frequency sparse correlation data
Hao Gu, Hongxia Guo, Xiang Xu +1
The paper proposes a multi‑frequency factorization technique that can recover the shape of an ambient noise source using only a few correlation measurements, with low computational…
A frequency-domain method to inverse moving source problem with unknown radiating moment
Guanqiu Ma, Hongxia Guo, Guanghui Hu
This paper introduces a multi-frequency factorization method for imaging a time-dependent source, specifically to recover its spatial support and the associated excitation instants…
A direct sampling method for inverse time-dependent electromagnetic source problems: reconstruction of the radiating time and spatial support
Fenglin Sun, Hongxia Guo
This paper investigates inverse source problems for time-dependent electromagnetic waves governed by Maxwell's equations. After applying the Fourier transform with respect to time,…
Imaging a moving point source in R^3 from the time of arrival at sparse observation points
Guanqiu Ma, Haonan Zhang, Hongxia Guo
In this paper, we introduce a novel numerical method for reconstructing the trajectory within three-dimensional space, where both the emission moment and spatial location of the po…