Information theory for electrical engineers 1st ed.

Author

• Gazi, Orhan

Additional Author(s)

-

Publisher

Cham, Switzerland : Springer Nature Singapore Pte Ltd., 2018

Language

English

ISBN

9789811084324

Series

Signals and communication technology

Subject(s)

• CODING THEORY
• ELECTRICAL ENGINEERING
• ENGINEERING

Notes

. .

Abstract

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.

Physical Dimension

Number of Page(s)

1 online resource (ix, 276 p.)

Dimension

-

Other Desc.

ill. (in color.)

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	02006/20	003.54 Gaz	Online !	Available