{"title":"信息论及其应用","authors":"S. Ravi, Ali Saeb","doi":"10.1002/9781119582397.ch9","DOIUrl":null,"url":null,"abstract":"In this note, we look at several denitions of entropy and some of their consequences in information theory. We also obtain the entropy and relative entropy for general error distribution which is used to model errors which are not normal.","PeriodicalId":293402,"journal":{"name":"Cryptography, Information Theory, and Error‐Correction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Information Theory and its Applications\",\"authors\":\"S. Ravi, Ali Saeb\",\"doi\":\"10.1002/9781119582397.ch9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this note, we look at several denitions of entropy and some of their consequences in information theory. We also obtain the entropy and relative entropy for general error distribution which is used to model errors which are not normal.\",\"PeriodicalId\":293402,\"journal\":{\"name\":\"Cryptography, Information Theory, and Error‐Correction\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cryptography, Information Theory, and Error‐Correction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/9781119582397.ch9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cryptography, Information Theory, and Error‐Correction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9781119582397.ch9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this note, we look at several denitions of entropy and some of their consequences in information theory. We also obtain the entropy and relative entropy for general error distribution which is used to model errors which are not normal.
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