{"title":"实现快速霍夫曼解码算法","authors":"Ya-Jun He, Duoli Zhang, Bin Shen, Luofeng Geng","doi":"10.1109/ICASIC.2007.4415744","DOIUrl":null,"url":null,"abstract":"An efficient Huffman decoding method is presented in this paper. This new method first partitions a Huffman tree into subtrees. Then some look-up tables are used to represent these subtrees and the symbols of some subtrees are decoded by direct combinational logic. It is shown that by employing this technique decoding operations become significantly faster, and the memory consumption also becomes much smaller compared to the normal Huffman decoding.","PeriodicalId":120984,"journal":{"name":"2007 7th International Conference on ASIC","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementation of fast Huffman decoding algorithm\",\"authors\":\"Ya-Jun He, Duoli Zhang, Bin Shen, Luofeng Geng\",\"doi\":\"10.1109/ICASIC.2007.4415744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An efficient Huffman decoding method is presented in this paper. This new method first partitions a Huffman tree into subtrees. Then some look-up tables are used to represent these subtrees and the symbols of some subtrees are decoded by direct combinational logic. It is shown that by employing this technique decoding operations become significantly faster, and the memory consumption also becomes much smaller compared to the normal Huffman decoding.\",\"PeriodicalId\":120984,\"journal\":{\"name\":\"2007 7th International Conference on ASIC\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 7th International Conference on ASIC\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASIC.2007.4415744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 7th International Conference on ASIC","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASIC.2007.4415744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient Huffman decoding method is presented in this paper. This new method first partitions a Huffman tree into subtrees. Then some look-up tables are used to represent these subtrees and the symbols of some subtrees are decoded by direct combinational logic. It is shown that by employing this technique decoding operations become significantly faster, and the memory consumption also becomes much smaller compared to the normal Huffman decoding.