5 papers
A Deep Learning-Enhanced Fourier Method for the Multi-Frequency Inverse Source Problem with Sparse Far-Field Data
Hao Chen, Yan Chang, Yukun Guo +1
This paper introduces a hybrid computational framework for the multi-frequency inverse source problem governed by the Helmholtz equation. By integrating a classical Fourier method…
Inverse problems for elastic wave from Partial Cauchy Data: Uniqueness and Co-inversion for Shape and Impedance Function
Yao Sun, Yan Chang, Yukun Guo
We consider an inverse problem for the elastic wave of simultaneously reconstructing the impedance and the geometric information of the bounded body that is occupied by a homogeneo…
Recovering the sources in the stochastic wave equations from multi-frequency far-field patterns
Yan Chang, Yukun Guo, Zhipeng Yang +1
This paper concerns the inverse source scattering problems of recovering random sources for acoustic and elastic waves. The underlying sources are assumed to be random functions dr…
Identifying an acoustic source in a two-layered medium from multi-frequency phased or phaseless far-field patterns
Yan Chang, Yukun Guo, Yue Zhao
This paper presents a method for reconstructing an acoustic source located in a two-layered medium from multi-frequency phased or phaseless far-field patterns measured on the upper…
The inverse obstacle scattering with incident tapered waves
Deyue Zhang, Mengjiao Bai, Yan Chang +1
This paper is concerned with the reconstruction of the shape of an acoustic obstacle. Based on the use of the tapered waves with very narrow widths illuminating the obstacle, the b…