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Information theory for electrical en...

Gazi, Orhan.

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Information theory for electrical engineers

Record Type:	Electronic resources : Monograph/item
Title/Author:	Information theory for electrical engineers/ by Orhan Gazi.
Author:	Gazi, Orhan.
Published:	Singapore :Springer Singapore : : 2018.,
Description:	ix, 276, p. :ill., digital ;24 cm.
[NT 15003449]:	Concept of Information, Discrete Entropy and Mutual Information -- Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity -- Typical Sequences and Data Compression -- Channel Coding Theorem.
Contained By:	Springer eBooks
Subject:	Information theory. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-8432-4
ISBN:	9789811084324

Information theory for electrical engineers
Gazi, Orhan.

Information theory for electrical engineers[electronic resource] /by Orhan Gazi. - Singapore :Springer Singapore :2018. - ix, 276, p. :ill., digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

Concept of Information, Discrete Entropy and Mutual Information -- Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity -- Typical Sequences and Data Compression -- Channel Coding Theorem.

This book explains the fundamental concepts of information theory, so as to help students better understand modern communication technologies. It was especially written for electrical and communication engineers working on communication subjects. The book especially focuses on the understandability of the topics, and accordingly uses simple and detailed mathematics, together with a wealth of solved examples. The book consists of four chapters, the first of which explains the entropy and mutual information concept for discrete random variables. Chapter 2 introduces the concepts of entropy and mutual information for continuous random variables, along with the channel capacity. In turn, Chapter 3 is devoted to the typical sequences and data compression. One of Shannon's most important discoveries is the channel coding theorem, and it is critical for electrical and communication engineers to fully comprehend the theorem. As such, Chapter 4 solely focuses on it. To gain the most from the book, readers should have a fundamental grasp of probability and random variables; otherwise, they will find it nearly impossible to understand the topics discussed.

ISBN: 9789811084324

Standard No.: 10.1007/978-981-10-8432-4doiSubjects--Topical Terms:

542527
Information theory.

LC Class. No.: TK5101.I54 / G39 2018

Dewey Class. No.: 003.54

Information theory for electrical engineers
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100 1 $a Gazi, Orhan. $3 3295084
245 1 0 $a Information theory for electrical engineers $h [electronic resource] / $c by Orhan Gazi.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a ix, 276, p. : $b ill., digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4862
505 0 $a Concept of Information, Discrete Entropy and Mutual Information -- Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity -- Typical Sequences and Data Compression -- Channel Coding Theorem.
520 $a This book explains the fundamental concepts of information theory, so as to help students better understand modern communication technologies. It was especially written for electrical and communication engineers working on communication subjects. The book especially focuses on the understandability of the topics, and accordingly uses simple and detailed mathematics, together with a wealth of solved examples. The book consists of four chapters, the first of which explains the entropy and mutual information concept for discrete random variables. Chapter 2 introduces the concepts of entropy and mutual information for continuous random variables, along with the channel capacity. In turn, Chapter 3 is devoted to the typical sequences and data compression. One of Shannon's most important discoveries is the channel coding theorem, and it is critical for electrical and communication engineers to fully comprehend the theorem. As such, Chapter 4 solely focuses on it. To gain the most from the book, readers should have a fundamental grasp of probability and random variables; otherwise, they will find it nearly impossible to understand the topics discussed.
650 0 $a Information theory. $3 542527
650 0 $a Coding theory. $3 532585
650 0 $a Electrical engineering. $3 649834
650 1 4 $a Engineering. $3 586835
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Coding and Information Theory. $3 891252
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830 0 $a Signals and communication technology. $3 1565543
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-8432-4
950 $a Engineering (Springer-11647)