{"title":"使用加权条件熵的二进制源码信道容量的非香农视角","authors":"Rohit Kumar Verma, Som Kumari","doi":"10.9734/arjom/2023/v19i11762","DOIUrl":null,"url":null,"abstract":"Discrete memory-free channels with a very low capacity are known as noisy channels. Our recent study has yielded some new insights into the channel capacity of noisy channels, which could prove useful in the development of mathematical models for these channels and other contexts.","PeriodicalId":281529,"journal":{"name":"Asian Research Journal of Mathematics","volume":"2018 22","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-Shannon Perspective on Channel Capacity for Binary Source Codes Using Weighted Conditional Entropy\",\"authors\":\"Rohit Kumar Verma, Som Kumari\",\"doi\":\"10.9734/arjom/2023/v19i11762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discrete memory-free channels with a very low capacity are known as noisy channels. Our recent study has yielded some new insights into the channel capacity of noisy channels, which could prove useful in the development of mathematical models for these channels and other contexts.\",\"PeriodicalId\":281529,\"journal\":{\"name\":\"Asian Research Journal of Mathematics\",\"volume\":\"2018 22\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Research Journal of Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/arjom/2023/v19i11762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Research Journal of Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/arjom/2023/v19i11762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-Shannon Perspective on Channel Capacity for Binary Source Codes Using Weighted Conditional Entropy
Discrete memory-free channels with a very low capacity are known as noisy channels. Our recent study has yielded some new insights into the channel capacity of noisy channels, which could prove useful in the development of mathematical models for these channels and other contexts.
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