{"title":"一种新型快速近似算术编码器","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":"{\"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}","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}
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.