{"title":"关于变长固有随机性的定理","authors":"T. Han","doi":"10.1109/18.868481","DOIUrl":null,"url":null,"abstract":"We address variable-length intrinsic randomness problems (in the sense of Vembu and Verdu (1995)) for countably infinite source alphabet /spl chi/ under the (unnormalized) divergence distance, the normalized conditional divergence distance, and the variational distance. It turns out that under all three kinds of approximation measures the variable-length intrinsic randomness still takes the same value, called the inf-entropy rate of the source.","PeriodicalId":13250,"journal":{"name":"IEEE Trans. Inf. Theory","volume":"57 1","pages":"2108-2116"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Theorems on the variable-length intrinsic randomness\",\"authors\":\"T. Han\",\"doi\":\"10.1109/18.868481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address variable-length intrinsic randomness problems (in the sense of Vembu and Verdu (1995)) for countably infinite source alphabet /spl chi/ under the (unnormalized) divergence distance, the normalized conditional divergence distance, and the variational distance. It turns out that under all three kinds of approximation measures the variable-length intrinsic randomness still takes the same value, called the inf-entropy rate of the source.\",\"PeriodicalId\":13250,\"journal\":{\"name\":\"IEEE Trans. Inf. Theory\",\"volume\":\"57 1\",\"pages\":\"2108-2116\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Trans. Inf. Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/18.868481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Trans. Inf. Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/18.868481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Theorems on the variable-length intrinsic randomness
We address variable-length intrinsic randomness problems (in the sense of Vembu and Verdu (1995)) for countably infinite source alphabet /spl chi/ under the (unnormalized) divergence distance, the normalized conditional divergence distance, and the variational distance. It turns out that under all three kinds of approximation measures the variable-length intrinsic randomness still takes the same value, called the inf-entropy rate of the source.