Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

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

dc.contributor.authorGazi, Orhan
dc.contributor.authorID102896tr_TR
dc.date.accessioned2022-04-14T12:06:37Z
dc.date.available2022-04-14T12:06:37Z
dc.date.issued2018
dc.departmentÇankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümüen_US
dc.description.abstractIn 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.en_US
dc.identifier.citationGazi, Orhan (2018). "Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity", Signals and Communication Technology, pp. 97-173.en_US
dc.identifier.doi10.1007/978-981-10-8432-4_2
dc.identifier.endpage173en_US
dc.identifier.issn1860-4862
dc.identifier.startpage97en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/5389
dc.language.isoenen_US
dc.relation.ispartofSignals and Communication Technologyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleEntropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacitytr_TR
dc.titleEntropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacityen_US
dc.typeArticleen_US
dspace.entity.typePublication

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