中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fast acoustic source imaging using multi-frequency sparse data

文献类型:期刊论文

作者Alzaalig,Ala1; Hu,Guanghui2; Liu,Xiaodong3; Sun,Jiguang4
刊名Inverse Problems
出版日期2020-01-23
卷号36期号:2
关键词acoustic source imaging multi-frequency data sampling method uniqueness
ISSN号0266-5611
DOI10.1088/1361-6420/ab4aec
英文摘要Abstract 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.
语种英语
WOS记录号IOP:0266-5611-36-2-AB4AEC
出版者IOP Publishing
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/50297]  
专题应用数学研究所
作者单位1.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
推荐引用方式
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).

入库方式: OAI收割

来源:数学与系统科学研究院

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