{"title":"硬件压缩器中RTK的无损压缩方法","authors":"Qian Dong, Bing Li","doi":"10.1109/EDSSC.2017.8126517","DOIUrl":null,"url":null,"abstract":"This paper presents a lossless compression method dealing with the data in real time kinematic (RTK) system, which is an aggregation of frame difference and dictionary compression (AFD). AFD can exert advantage of pipeline hardware; reduce the amount of data transmission as to save energy. Experiment results showed that the compression time of typical RTK data was only 0.2 milliseconds, and the average compression ratio reduced by almost 20% compared with several classical compression methods.","PeriodicalId":163598,"journal":{"name":"2017 International Conference on Electron Devices and Solid-State Circuits (EDSSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A lossless compression method for RTK in hardware compressors\",\"authors\":\"Qian Dong, Bing Li\",\"doi\":\"10.1109/EDSSC.2017.8126517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a lossless compression method dealing with the data in real time kinematic (RTK) system, which is an aggregation of frame difference and dictionary compression (AFD). AFD can exert advantage of pipeline hardware; reduce the amount of data transmission as to save energy. Experiment results showed that the compression time of typical RTK data was only 0.2 milliseconds, and the average compression ratio reduced by almost 20% compared with several classical compression methods.\",\"PeriodicalId\":163598,\"journal\":{\"name\":\"2017 International Conference on Electron Devices and Solid-State Circuits (EDSSC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Electron Devices and Solid-State Circuits (EDSSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDSSC.2017.8126517\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electron Devices and Solid-State Circuits (EDSSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDSSC.2017.8126517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A lossless compression method for RTK in hardware compressors
This paper presents a lossless compression method dealing with the data in real time kinematic (RTK) system, which is an aggregation of frame difference and dictionary compression (AFD). AFD can exert advantage of pipeline hardware; reduce the amount of data transmission as to save energy. Experiment results showed that the compression time of typical RTK data was only 0.2 milliseconds, and the average compression ratio reduced by almost 20% compared with several classical compression methods.