{"title":"A new fast approximate arithmetic coder","authors":"A. Barbir","doi":"10.1109/SSST.1996.493552","DOIUrl":null,"url":null,"abstract":"The results of a research project conducted at Gandalf, a leader in real time data networking products, to develop a fast arithmetic coder are presented. The speed improvement comes from the development of a hybrid model that generates normalized frequency distributions of the sequence of input symbols. This approach enables the implementation of an arithmetic coder with a reduced number of divide instructions. The new coder obtains significantly improved throughput with minimal loss in compression efficiency. Simulation results showed a doubling in computational speed over standard implementations of the algorithm with minimal reduction in efficiency. The algorithm achieves up to 50% more compression efficiency than the commercially available Stacker LZS compressor.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 28th Southeastern Symposium on System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1996.493552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The results of a research project conducted at Gandalf, a leader in real time data networking products, to develop a fast arithmetic coder are presented. The speed improvement comes from the development of a hybrid model that generates normalized frequency distributions of the sequence of input symbols. This approach enables the implementation of an arithmetic coder with a reduced number of divide instructions. The new coder obtains significantly improved throughput with minimal loss in compression efficiency. Simulation results showed a doubling in computational speed over standard implementations of the algorithm with minimal reduction in efficiency. The algorithm achieves up to 50% more compression efficiency than the commercially available Stacker LZS compressor.