{"title":"使用递归方法的时间反转音乐成像","authors":"A. Baussard, T. Boutin","doi":"10.5281/ZENODO.40288","DOIUrl":null,"url":null,"abstract":"The time-reversal imaging with multiple signal classification (MUSIC) method for the location of point targets was first proposed by Devaney et al. In this contribution, a recursive time-reversal MUSIC algorithm is proposed in order to improve the detection and the location of close targets. The considered approach is based on the recursively applied and projected (RAP) MUSIC method which was first introduced for magnetoencephalographic (MEG) data processing.","PeriodicalId":176384,"journal":{"name":"2007 15th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Time-reversal music imaging using a recursive approach\",\"authors\":\"A. Baussard, T. Boutin\",\"doi\":\"10.5281/ZENODO.40288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The time-reversal imaging with multiple signal classification (MUSIC) method for the location of point targets was first proposed by Devaney et al. In this contribution, a recursive time-reversal MUSIC algorithm is proposed in order to improve the detection and the location of close targets. The considered approach is based on the recursively applied and projected (RAP) MUSIC method which was first introduced for magnetoencephalographic (MEG) data processing.\",\"PeriodicalId\":176384,\"journal\":{\"name\":\"2007 15th European Signal Processing Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 15th European Signal Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.40288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 15th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.40288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time-reversal music imaging using a recursive approach
The time-reversal imaging with multiple signal classification (MUSIC) method for the location of point targets was first proposed by Devaney et al. In this contribution, a recursive time-reversal MUSIC algorithm is proposed in order to improve the detection and the location of close targets. The considered approach is based on the recursively applied and projected (RAP) MUSIC method which was first introduced for magnetoencephalographic (MEG) data processing.