{"title":"具有保真标准的通用源代码","authors":"E. Kurtas, M. Salehi","doi":"10.1109/ISIT.1994.395005","DOIUrl":null,"url":null,"abstract":"Proposes a variable rate vector quantization algorithm which can adapt itself to variations in the source statistics by progressively updating the individual codewords. The proposed algorithm optimally parses the incoming source vectors and then quantizes them accordingly. After each quantization step, codeword updating is performed to track changes in the source statistics. No knowledge of the source statistics is assumed and no side information is transmitted.<<ETX>>","PeriodicalId":331390,"journal":{"name":"Proceedings of 1994 IEEE International Symposium on Information Theory","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Universal source coding with a fidelity criterion\",\"authors\":\"E. Kurtas, M. Salehi\",\"doi\":\"10.1109/ISIT.1994.395005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proposes a variable rate vector quantization algorithm which can adapt itself to variations in the source statistics by progressively updating the individual codewords. The proposed algorithm optimally parses the incoming source vectors and then quantizes them accordingly. After each quantization step, codeword updating is performed to track changes in the source statistics. No knowledge of the source statistics is assumed and no side information is transmitted.<<ETX>>\",\"PeriodicalId\":331390,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Symposium on Information Theory\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Symposium on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.1994.395005\",\"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 1994 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.1994.395005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Proposes a variable rate vector quantization algorithm which can adapt itself to variations in the source statistics by progressively updating the individual codewords. The proposed algorithm optimally parses the incoming source vectors and then quantizes them accordingly. After each quantization step, codeword updating is performed to track changes in the source statistics. No knowledge of the source statistics is assumed and no side information is transmitted.<>