EAN: 9789811084317

INFORMATION THEORY FOR ELECTRICAL ENGINEERS - O...

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.

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