CSpace  > 应用数学研究所
Fast acoustic source imaging using multi-frequency sparse data
Alzaalig,Ala1; Hu,Guanghui2; Liu,Xiaodong3; Sun,Jiguang4
2020-01-23
发表期刊Inverse Problems
ISSN0266-5611
卷号36期号:2
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.
关键词acoustic source imaging multi-frequency data sampling method uniqueness
DOI10.1088/1361-6420/ab4aec
语种英语
WOS记录号IOP:0266-5611-36-2-ab4aec
出版者IOP Publishing
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/50298
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).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Alzaalig,Ala]的文章
[Hu,Guanghui]的文章
[Liu,Xiaodong]的文章
百度学术
百度学术中相似的文章
[Alzaalig,Ala]的文章
[Hu,Guanghui]的文章
[Liu,Xiaodong]的文章
必应学术
必应学术中相似的文章
[Alzaalig,Ala]的文章
[Hu,Guanghui]的文章
[Liu,Xiaodong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。