{"title":"三种非相干信息处理系统的信息论方法","authors":"E. Dowski","doi":"10.21236/ada299683","DOIUrl":null,"url":null,"abstract":"Many incoherent optical/digital systems can be used for non-imaging purposes, such as passive ranging. These systems cannot effectively be analyzed or designed in terms of traditional image-forming systems. Instead, such systems should be analyzed in terms of information theory. Through mathematical modelling of the sampled image, information theory can be used to optimize a given system.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Information Theory Approach To Three Incoherent Information Processing Systems\",\"authors\":\"E. Dowski\",\"doi\":\"10.21236/ada299683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many incoherent optical/digital systems can be used for non-imaging purposes, such as passive ranging. These systems cannot effectively be analyzed or designed in terms of traditional image-forming systems. Instead, such systems should be analyzed in terms of information theory. Through mathematical modelling of the sampled image, information theory can be used to optimize a given system.\",\"PeriodicalId\":184407,\"journal\":{\"name\":\"Signal Recovery and Synthesis\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal Recovery and Synthesis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21236/ada299683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Recovery and Synthesis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21236/ada299683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Information Theory Approach To Three Incoherent Information Processing Systems
Many incoherent optical/digital systems can be used for non-imaging purposes, such as passive ranging. These systems cannot effectively be analyzed or designed in terms of traditional image-forming systems. Instead, such systems should be analyzed in terms of information theory. Through mathematical modelling of the sampled image, information theory can be used to optimize a given system.
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