Information Theory for Electrical Engineers (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Signals and Communication Technology
Release date:	March 2018
First published:	2018
Authors:	Orhangazi
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	276
Edition:	1st ed. 2018
ISBN-13:	978-981-10-8431-7
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	981-10-8431-9
Barcode:	9789811084317

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