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Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity

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dc.contributor.author Gazi, Orhan
dc.date.accessioned 2022-04-14T12:06:37Z
dc.date.available 2022-04-14T12:06:37Z
dc.date.issued 2018
dc.identifier.citation Gazi, Orhan (2018). "Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity", Signals and Communication Technology, pp. 97-173. tr_TR
dc.identifier.issn 1860-4862
dc.identifier.uri http://hdl.handle.net/20.500.12416/5389
dc.description.abstract In this chapter, we will study the entropy concept for continuous random variables. The capacity of both continuous and discrete channels will be inspected in details. The capacity formula for additive white Gaussian channel is to be derived and the factors that affects the capacity of the additive white Gaussian channel will be elaborated. © 2018, Springer Nature Singapore Pte Ltd. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1007/978-981-10-8432-4_2 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.title Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity tr_TR
dc.type article tr_TR
dc.relation.journal Signals and Communication Technology tr_TR
dc.contributor.authorID 102896 tr_TR
dc.identifier.startpage 97 tr_TR
dc.identifier.endpage 173 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü tr_TR


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