Fast acoustic source imaging using multi-frequency sparse data
Alzaalig,Ala1; Hu,Guanghui2; Liu,Xiaodong3; Sun,Jiguang4
Source PublicationInverse Problems
AbstractAbstract We consider the acoustic source imaging problems in using multiple frequency data at sparse directions/points. Using at most n observation directions/points, we show that the size and location of the source can be recovered. A non-iterative method is then proposed to image the source. The method is simple to implement and extremely fast since it only computes an indicator function on the domain of interest using matrix vector multiplications. Numerical examples are presented to validate the effectiveness of the method.
Keywordacoustic source imaging multi-frequency data sampling method uniqueness
WOS IDIOP:0266-5611-36-2-ab4aec
PublisherIOP Publishing
Citation statistics
Document Type期刊论文
Affiliation1.Department of Mathematical Sciences, Michigan Technological University
2.Beijing Computational Science Research Center, Beijing 100193, People’s Republic of China
3.Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
4.Department of Mathematical Sciences, Michigan Technological University, Houghton, MI 49931, United States of America
Recommended Citation
GB/T 7714
Alzaalig,Ala,Hu,Guanghui,Liu,Xiaodong,et al. Fast acoustic source imaging using multi-frequency sparse data[J]. Inverse Problems,2020,36(2).
APA Alzaalig,Ala,Hu,Guanghui,Liu,Xiaodong,&Sun,Jiguang.(2020).Fast acoustic source imaging using multi-frequency sparse data.Inverse Problems,36(2).
MLA Alzaalig,Ala,et al."Fast acoustic source imaging using multi-frequency sparse data".Inverse Problems 36.2(2020).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Alzaalig,Ala]'s Articles
[Hu,Guanghui]'s Articles
[Liu,Xiaodong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Alzaalig,Ala]'s Articles
[Hu,Guanghui]'s Articles
[Liu,Xiaodong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Alzaalig,Ala]'s Articles
[Hu,Guanghui]'s Articles
[Liu,Xiaodong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.