{"title":"亚高斯源失匹配矢量量化器的渐近性能评价","authors":"F. Muller","doi":"10.1109/WITS.1994.513923","DOIUrl":null,"url":null,"abstract":"Asymptotic (high rate) quantization theory is applied to the multivariate mismatch problem. The question of how much is lost if a vector quantizer which is matched to a specific source with given parameters is used for quantization of a source with different parameters, is addressed. For parameterization of the sources sub-Gaussian processes are employed.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymptotic performance evaluation of mismatched vector quantizers using sub-Gaussian sources\",\"authors\":\"F. Muller\",\"doi\":\"10.1109/WITS.1994.513923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Asymptotic (high rate) quantization theory is applied to the multivariate mismatch problem. The question of how much is lost if a vector quantizer which is matched to a specific source with given parameters is used for quantization of a source with different parameters, is addressed. For parameterization of the sources sub-Gaussian processes are employed.\",\"PeriodicalId\":423518,\"journal\":{\"name\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 Workshop on Information Theory and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WITS.1994.513923\",\"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 Workshop on Information Theory and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITS.1994.513923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Asymptotic performance evaluation of mismatched vector quantizers using sub-Gaussian sources
Asymptotic (high rate) quantization theory is applied to the multivariate mismatch problem. The question of how much is lost if a vector quantizer which is matched to a specific source with given parameters is used for quantization of a source with different parameters, is addressed. For parameterization of the sources sub-Gaussian processes are employed.
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