{"title":"附加在m个反均匀霍夫曼码上的信息量","authors":"V. Munteanu, D. Tarniceriu, G. Zaharia","doi":"10.1109/ISSCS.2009.5206164","DOIUrl":null,"url":null,"abstract":"In this paper M-ary antiuniform Huffman codes are considered. In this case the source probability distribution assures the minimum average codeword length, by diversifying only one node on each level in the tree graph. A matrix characterization of the M-ary antiuniform Huffman code as a source with memory is performed and the information quantities are derived.","PeriodicalId":277587,"journal":{"name":"2009 International Symposium on Signals, Circuits and Systems","volume":"177 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Information quantities attached to M-ary antiuniform Huffman codes\",\"authors\":\"V. Munteanu, D. Tarniceriu, G. Zaharia\",\"doi\":\"10.1109/ISSCS.2009.5206164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper M-ary antiuniform Huffman codes are considered. In this case the source probability distribution assures the minimum average codeword length, by diversifying only one node on each level in the tree graph. A matrix characterization of the M-ary antiuniform Huffman code as a source with memory is performed and the information quantities are derived.\",\"PeriodicalId\":277587,\"journal\":{\"name\":\"2009 International Symposium on Signals, Circuits and Systems\",\"volume\":\"177 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Symposium on Signals, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCS.2009.5206164\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Symposium on Signals, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2009.5206164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information quantities attached to M-ary antiuniform Huffman codes
In this paper M-ary antiuniform Huffman codes are considered. In this case the source probability distribution assures the minimum average codeword length, by diversifying only one node on each level in the tree graph. A matrix characterization of the M-ary antiuniform Huffman code as a source with memory is performed and the information quantities are derived.
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