{"title":"MUSIC与线性采样成像性能的比较","authors":"Sangwoo Kang, W. Park","doi":"10.1109/CISP-BMEI.2016.7852916","DOIUrl":null,"url":null,"abstract":"The MUltiple SIgnal Classification - MUSIC - algorithm and the Linear Sampling - LS - method are fast, stable, and effective non-iterative imaging techniques in inverse scattering problem. In fact, some previous studies indicated that the linear sampling method is an extended version of MUSIC. However, numerical results in support of this assertion have not been provided. In this contribution, we compare the imaging performance of MUSIC with that of the LS method with noisy data and underpin the above assertion.","PeriodicalId":275095,"journal":{"name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparing the imaging performance of MUSIC and Linear Sampling method\",\"authors\":\"Sangwoo Kang, W. Park\",\"doi\":\"10.1109/CISP-BMEI.2016.7852916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The MUltiple SIgnal Classification - MUSIC - algorithm and the Linear Sampling - LS - method are fast, stable, and effective non-iterative imaging techniques in inverse scattering problem. In fact, some previous studies indicated that the linear sampling method is an extended version of MUSIC. However, numerical results in support of this assertion have not been provided. In this contribution, we compare the imaging performance of MUSIC with that of the LS method with noisy data and underpin the above assertion.\",\"PeriodicalId\":275095,\"journal\":{\"name\":\"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP-BMEI.2016.7852916\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP-BMEI.2016.7852916","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
多信号分类- MUSIC -算法和线性采样- LS -方法是快速、稳定、有效的反散射成像技术。事实上,之前的一些研究表明,线性抽样方法是MUSIC的扩展版本。但是,没有提供支持这一断言的数值结果。在这篇文章中,我们比较了MUSIC与LS方法在噪声数据下的成像性能,并支持了上述断言。
Comparing the imaging performance of MUSIC and Linear Sampling method
The MUltiple SIgnal Classification - MUSIC - algorithm and the Linear Sampling - LS - method are fast, stable, and effective non-iterative imaging techniques in inverse scattering problem. In fact, some previous studies indicated that the linear sampling method is an extended version of MUSIC. However, numerical results in support of this assertion have not been provided. In this contribution, we compare the imaging performance of MUSIC with that of the LS method with noisy data and underpin the above assertion.