A Data-Assisted Two-Stage Method for the Inverse Random Source Problem-Reference-Cited by-同舟云学术

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A Data-Assisted Two-Stage Method for the Inverse Random Source Problem

Published:2023-10-12 Issue:4 Volume:16 Page:1929-1952
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Li Peijun¹,Liang Ying²^ORCID,Wang Yuliang³

Affiliation:

1. Corresponding author. Department of Mathematics, Purdue University, West Lafayette, IN 47907 USA.

2. Department of Mathematics, Purdue University, West Lafayette, IN 47907 USA.

3. Research Center for Mathematics, Beijing Normal University, Zhuhai 519087, People’s Republic of China, and BNU-HKBU United International College, Zhuhai 519807, People’s Republic of China.

Funder

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Reference38 articles.

1. Solving ill-posed inverse problems using iterative deep neural networks

2. Solving inverse problems using data-driven models

3. Wiener Chaos Expansion and Simulation of Electromagnetic Wave Propagation Excited by a Spatially Incoherent Source

4. Inverse Random Source Scattering Problems in Several Dimensions

5. Inverse Random Source Scattering for Elastic Waves

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