Information Theory for Electrical Engineers by Orhan Gazi

Information Theory for Electrical Engineers by Orhan Gazi

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.

Orhan Gazi is an Associate Professor at the Electronic and Communication Engineering Department, Cankaya University. He received his BS, MS and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 1996, 2001, and 2007 respectively. His research interests are chiefly in signal processing, information theory, and forward error correction. Most recently he has been studying polar channel codes and preparing publications in this area. Prof. Gazi has also authored several books on Signal Processing and Information Theory.