{"title":"通过二进制决策图进行数据压缩","authors":"J. Kieffer, Philippe Flajolet, E. Yang","doi":"10.1109/ISIT.2000.866594","DOIUrl":null,"url":null,"abstract":"A binary data string of length 2/sup k/ induces a Boolean function of k variables which can be represented by a unique reduced binary decision diagram. We losslessly compress the data string indirectly by compressing this binary decision diagram. The resulting data compression algorithm is universal.","PeriodicalId":108752,"journal":{"name":"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Data compression via binary decision diagrams\",\"authors\":\"J. Kieffer, Philippe Flajolet, E. Yang\",\"doi\":\"10.1109/ISIT.2000.866594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A binary data string of length 2/sup k/ induces a Boolean function of k variables which can be represented by a unique reduced binary decision diagram. We losslessly compress the data string indirectly by compressing this binary decision diagram. The resulting data compression algorithm is universal.\",\"PeriodicalId\":108752,\"journal\":{\"name\":\"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2000.866594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2000.866594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A binary data string of length 2/sup k/ induces a Boolean function of k variables which can be represented by a unique reduced binary decision diagram. We losslessly compress the data string indirectly by compressing this binary decision diagram. The resulting data compression algorithm is universal.