3 papers
math.AP2026
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…
math.NA2024
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…
math.NA2024
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…