{"title":"位循环对算术编码的适应","authors":"Ahmad Al-Rababa'a, Danny Dubé","doi":"10.1109/WOSSPA.2013.6602411","DOIUrl":null,"url":null,"abstract":"The bit recycling compression technique has been introduced to minimize the redundancy caused by the multiplicity of encoding feature present in many compression techniques. It has achieved about 9% as a reduction in the size of the files compressed by Gzip. In this paper, we propose to adapt bit recycling to arithmetic code instead of Huffman code. This adaptation enables bit recycling to achieve better compression and a much wider applicability. A theoretical analysis that estimates the average amount of data compression that can be achieved by this adaptation is presented as well.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Adaptation of bit recycling to arithmetic coding\",\"authors\":\"Ahmad Al-Rababa'a, Danny Dubé\",\"doi\":\"10.1109/WOSSPA.2013.6602411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The bit recycling compression technique has been introduced to minimize the redundancy caused by the multiplicity of encoding feature present in many compression techniques. It has achieved about 9% as a reduction in the size of the files compressed by Gzip. In this paper, we propose to adapt bit recycling to arithmetic code instead of Huffman code. This adaptation enables bit recycling to achieve better compression and a much wider applicability. A theoretical analysis that estimates the average amount of data compression that can be achieved by this adaptation is presented as well.\",\"PeriodicalId\":417940,\"journal\":{\"name\":\"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOSSPA.2013.6602411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOSSPA.2013.6602411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The bit recycling compression technique has been introduced to minimize the redundancy caused by the multiplicity of encoding feature present in many compression techniques. It has achieved about 9% as a reduction in the size of the files compressed by Gzip. In this paper, we propose to adapt bit recycling to arithmetic code instead of Huffman code. This adaptation enables bit recycling to achieve better compression and a much wider applicability. A theoretical analysis that estimates the average amount of data compression that can be achieved by this adaptation is presented as well.