{"title":"基于SILAB的数据压缩算法实现","authors":"Lei Wang, Xiaoyao Xie","doi":"10.1109/ICASID.2010.5551508","DOIUrl":null,"url":null,"abstract":"In this paper through analyzing the characteristics of the history data in bridge safety monitoring system, we explain the importance and features of process data compression. The theory of SDT and improved SDT have been introduced in this paper, analyzing the performances of the algorithm and simulation used by SILAB have been given in this paper. By comparing the performance of the two algorithms, we could possibly use the improved SDT to compress the recorded data of the bridge safety monitoring system.","PeriodicalId":391931,"journal":{"name":"2010 International Conference on Anti-Counterfeiting, Security and Identification","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementation of data compression algorithm based on SILAB\",\"authors\":\"Lei Wang, Xiaoyao Xie\",\"doi\":\"10.1109/ICASID.2010.5551508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper through analyzing the characteristics of the history data in bridge safety monitoring system, we explain the importance and features of process data compression. The theory of SDT and improved SDT have been introduced in this paper, analyzing the performances of the algorithm and simulation used by SILAB have been given in this paper. By comparing the performance of the two algorithms, we could possibly use the improved SDT to compress the recorded data of the bridge safety monitoring system.\",\"PeriodicalId\":391931,\"journal\":{\"name\":\"2010 International Conference on Anti-Counterfeiting, Security and Identification\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Anti-Counterfeiting, Security and Identification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASID.2010.5551508\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Anti-Counterfeiting, Security and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2010.5551508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of data compression algorithm based on SILAB
In this paper through analyzing the characteristics of the history data in bridge safety monitoring system, we explain the importance and features of process data compression. The theory of SDT and improved SDT have been introduced in this paper, analyzing the performances of the algorithm and simulation used by SILAB have been given in this paper. By comparing the performance of the two algorithms, we could possibly use the improved SDT to compress the recorded data of the bridge safety monitoring system.
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