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

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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