{"title":"Statistical analysis of measured ground penetrating radar data","authors":"A. M. Rangaswamy, L. Monte, M. Wicks","doi":"10.1109/CISS.2016.7460478","DOIUrl":null,"url":null,"abstract":"This paper provides a statistical analysis of measured data from ground penetrating radar experiments at the MUMMA Laboratory, University of Dayton. A variety of statistical and spectral techniques are used to characterize the underlying statistical properties of the background data from three different experimental campaigns.","PeriodicalId":346776,"journal":{"name":"2016 Annual Conference on Information Science and Systems (CISS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Annual Conference on Information Science and Systems (CISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2016.7460478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper provides a statistical analysis of measured data from ground penetrating radar experiments at the MUMMA Laboratory, University of Dayton. A variety of statistical and spectral techniques are used to characterize the underlying statistical properties of the background data from three different experimental campaigns.