{"title":"高效的数据压缩算法，用于数据记录仪，测量设备和远程数据分析应用","authors":"M. Kovač","doi":"10.1109/SECON.1998.673288","DOIUrl":null,"url":null,"abstract":"Volume of data acquired during measurements is usually very large in size. In this paper we present compact, yet efficient, data compression algorithm that can be used to significantly reduce storage and telecommunication costs for the above-mentioned applications. The algorithm is lossless, based on the statistical information and can achieve a compression ratio of up to 14:1 on raw binary data. The algorithm has been successfully implemented to compress data from alternative fuel vehicles and photovoltaic systems.","PeriodicalId":281991,"journal":{"name":"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Efficient data compression algorithm for data loggers, measurement equipment and remote data analysis applications\",\"authors\":\"M. Kovač\",\"doi\":\"10.1109/SECON.1998.673288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Volume of data acquired during measurements is usually very large in size. In this paper we present compact, yet efficient, data compression algorithm that can be used to significantly reduce storage and telecommunication costs for the above-mentioned applications. The algorithm is lossless, based on the statistical information and can achieve a compression ratio of up to 14:1 on raw binary data. The algorithm has been successfully implemented to compress data from alternative fuel vehicles and photovoltaic systems.\",\"PeriodicalId\":281991,\"journal\":{\"name\":\"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.1998.673288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Southeastcon '98 'Engineering for a New Era'","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1998.673288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient data compression algorithm for data loggers, measurement equipment and remote data analysis applications
Volume of data acquired during measurements is usually very large in size. In this paper we present compact, yet efficient, data compression algorithm that can be used to significantly reduce storage and telecommunication costs for the above-mentioned applications. The algorithm is lossless, based on the statistical information and can achieve a compression ratio of up to 14:1 on raw binary data. The algorithm has been successfully implemented to compress data from alternative fuel vehicles and photovoltaic systems.
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