{"title":"A Hybrid Approach for Wind Tunnel Data Compression","authors":"Jin Zhou, C. Kwan","doi":"10.1109/DCC.2018.00088","DOIUrl":null,"url":null,"abstract":"A novel and hybrid data compression framework is proposed to compress wind tunnel data. Both lossless and lossy compression can be performed.","PeriodicalId":137206,"journal":{"name":"2018 Data Compression Conference","volume":"226 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2018.00088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
A novel and hybrid data compression framework is proposed to compress wind tunnel data. Both lossless and lossy compression can be performed.
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