{"title":"A simulation for real time data compression","authors":"T. Pham","doi":"10.1109/ITCC.2000.844270","DOIUrl":null,"url":null,"abstract":"This paper presents one new basic step in real time data compression. The data under compression are random sequence of variable Y which at time t:y/sub 0/, y/sub 1/, ..., y/sub t/ have occurred. Y-random integer-{0, 1, ..., N-1}. So, at time t, if we produce Y~/sub t+1/ to be really a subset to Y so that y/sub t+1//spl isin/Y~/sub t+1/ then we can write or send the index of y/sub t+1/ in Y~/sub t+1/ instead of y/sub t+1/. To do it we create a function F, which learned from some recent past Y by the fixed rules, to map a known set onto V. The known set is the set known by both sender and receiver, and also, the function F is automatically created the same at both sides.","PeriodicalId":146581,"journal":{"name":"Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2000.844270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents one new basic step in real time data compression. The data under compression are random sequence of variable Y which at time t:y/sub 0/, y/sub 1/, ..., y/sub t/ have occurred. Y-random integer-{0, 1, ..., N-1}. So, at time t, if we produce Y~/sub t+1/ to be really a subset to Y so that y/sub t+1//spl isin/Y~/sub t+1/ then we can write or send the index of y/sub t+1/ in Y~/sub t+1/ instead of y/sub t+1/. To do it we create a function F, which learned from some recent past Y by the fixed rules, to map a known set onto V. The known set is the set known by both sender and receiver, and also, the function F is automatically created the same at both sides.