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Information theory for electrical en...

Gazi, Orhan.

Information theory for electrical engineers

Record Type:	Electronic resources : Monograph/item
Title/Author:	Information theory for electrical engineersby Orhan Gazi.
Author:	Gazi, Orhan.
Published:	Singapore :Springer Singapore :2018.
Description:	ix, 276, p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Information theory.
Online resource:	http://dx.doi.org/10.1007/978-981-10-8432-4
ISBN:	9789811084324$q(electronic bk.)

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$q(electronic bk.)

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

183013
Information theory.

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

Dewey Class. No.: 003.54

Information theory for electrical engineers
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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 183013
650 0 $a Coding theory. $3 184605
650 0 $a Electrical engineering. $3 454503
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650 2 4 $a Coding and Information Theory. $3 273763
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