Bilgilendirme: Kurulum ve veri kapsamındaki çalışmalar devam etmektedir. Göstereceğiniz anlayış için teşekkür ederiz.
 

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

Loading...
Publication Logo

Date

2018

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Science and Business Media Deutschland GmbH

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

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.

Description

Keywords

Fields of Science

Citation

Gazi, Orhan (2018). "Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity", Signals and Communication Technology, pp. 97-173.

WoS Q

Scopus Q

Q4
OpenCitations Logo
OpenCitations Citation Count
N/A

Source

Signals and Communication Technology

Volume

Issue

Start Page

97

End Page

173
PlumX Metrics
Citations

Scopus : 0

Page Views

3

checked on Feb 24, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.0

Sustainable Development Goals