{"title":"区间的条件编码","authors":"U. Graf","doi":"10.1109/DCC.1997.582097","DOIUrl":null,"url":null,"abstract":"Summary form only given. With conditional coding a new technique is presented that encodes equally likely symbols of an input alphabet A (|A|=m) efficiently. The code consists of bitstrings with size n=[log/sub 2/(m)] and (n+1) and is a prefix code. The encoding needs only one comparison, one shift, and one addition per encoded symbol. Compared to the theoretical limit the method loses only at most 0.086071... bits per encoding and 0.057304... bits in average. Opposed to radix conversion (which achieves the theoretical limit) the algorithm works without multiplication and division and does not need a single-bit writing loop or bitstring arithmetic in the encoding step. Therefore it works a lot faster than radix conversion and can easily be implemented in hardware. The decoding step has the same properties. Encoding and decoding can be exchanged for better adaption to the code alphabet size.","PeriodicalId":403990,"journal":{"name":"Proceedings DCC '97. Data Compression Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Encoding of intervals with conditional coding\",\"authors\":\"U. Graf\",\"doi\":\"10.1109/DCC.1997.582097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. With conditional coding a new technique is presented that encodes equally likely symbols of an input alphabet A (|A|=m) efficiently. The code consists of bitstrings with size n=[log/sub 2/(m)] and (n+1) and is a prefix code. The encoding needs only one comparison, one shift, and one addition per encoded symbol. Compared to the theoretical limit the method loses only at most 0.086071... bits per encoding and 0.057304... bits in average. Opposed to radix conversion (which achieves the theoretical limit) the algorithm works without multiplication and division and does not need a single-bit writing loop or bitstring arithmetic in the encoding step. Therefore it works a lot faster than radix conversion and can easily be implemented in hardware. The decoding step has the same properties. Encoding and decoding can be exchanged for better adaption to the code alphabet size.\",\"PeriodicalId\":403990,\"journal\":{\"name\":\"Proceedings DCC '97. Data Compression Conference\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings DCC '97. Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.1997.582097\",\"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 DCC '97. Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1997.582097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
只提供摘要形式。利用条件编码,提出了一种有效编码输入字母a (| a |=m)等可能符号的新方法。该码由大小为n=[log/sub 2/(m)]和(n+1)的位串组成,是前缀码。编码只需要对每个编码符号进行一次比较、一次移位和一次加法。与理论极限相比,该方法最多损失0.086071…每编码位和0.057304…平均位数。与基数转换(达到理论极限)相反,该算法不需要乘法和除法,也不需要在编码步骤中进行单位写入循环或位串算术。因此,它比基数转换快得多,并且可以很容易地在硬件中实现。解码步骤具有相同的属性。编码和解码可以交换,以更好地适应代码字母表的大小。
Summary form only given. With conditional coding a new technique is presented that encodes equally likely symbols of an input alphabet A (|A|=m) efficiently. The code consists of bitstrings with size n=[log/sub 2/(m)] and (n+1) and is a prefix code. The encoding needs only one comparison, one shift, and one addition per encoded symbol. Compared to the theoretical limit the method loses only at most 0.086071... bits per encoding and 0.057304... bits in average. Opposed to radix conversion (which achieves the theoretical limit) the algorithm works without multiplication and division and does not need a single-bit writing loop or bitstring arithmetic in the encoding step. Therefore it works a lot faster than radix conversion and can easily be implemented in hardware. The decoding step has the same properties. Encoding and decoding can be exchanged for better adaption to the code alphabet size.