A. de la Cruz Nogueiras, M. Gamez Lau, A. Cerdeira Altuzarra, M. Estrada del Cueto, P. Goga
{"title":"A high performance block compression algorithm for small systems-software and hardware implementations","authors":"A. de la Cruz Nogueiras, M. Gamez Lau, A. Cerdeira Altuzarra, M. Estrada del Cueto, P. Goga","doi":"10.1109/DCC.1995.515532","DOIUrl":null,"url":null,"abstract":"Summary form only given. A new algorithmic approach to block data compression, using a highly contextual codification of the dictionary, that gives substantial compression-rate advantages over existing technologies, is described. The algorithm takes into account the limitations and characteristics of small systems, such as a low consumption of memory, high speed and short latency, as required by communication applications. It uses a novel construction of the prefix-free dictionary, a simple but powerful heuristic for filtering out the non-compressed symbols and a predictive dynamic prefix coding for the output entities. It also employs universal codification of the integers, allowing a very fast and direct implementation in silicon. A dynamic compression software package is detailed. Also, several techniques developed to maximize the usable disk-space and the software speed, among others, are discussed.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings DCC '95 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1995.515532","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
Summary form only given. A new algorithmic approach to block data compression, using a highly contextual codification of the dictionary, that gives substantial compression-rate advantages over existing technologies, is described. The algorithm takes into account the limitations and characteristics of small systems, such as a low consumption of memory, high speed and short latency, as required by communication applications. It uses a novel construction of the prefix-free dictionary, a simple but powerful heuristic for filtering out the non-compressed symbols and a predictive dynamic prefix coding for the output entities. It also employs universal codification of the integers, allowing a very fast and direct implementation in silicon. A dynamic compression software package is detailed. Also, several techniques developed to maximize the usable disk-space and the software speed, among others, are discussed.