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Engineering - Information Theory and Network Coding (Information Technology: Transmission, Processing and Storage)

Description

Book Synopsis: This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research field of its own in information science. With its root in information theory, network coding has not only brought about a paradigm shift in network communications at large, but also had significant influence on such specific research fields as coding theory, networking, switching, wireless communications, distributed data storage, cryptography, and optimization theory. While new applications of network coding keep emerging, the fundamental results that lay the foundation of the subject are more or less mature. One of the main goals of this book therefore is to present these results in a unifying and coherent manner. While the previous book focused only on information theory for discrete random variables, the current book contains two new chapters on information theory for continuous random variables, namely the chapter on differential entropy and the chapter on continuous-valued channels. With these topics included, the book becomes more comprehensive and is more suitable to be used as a textbook for a course in an electrical engineering department.

Details

If you're looking to stay ahead of the curve in the ever-evolving world of information technology, then look no further. Our latest book, "Information Theory and Network Coding," is the epitome of cutting-edge knowledge in the field. Written by a renowned expert in the field, this book is an evolution from its predecessor and serves as a comprehensive guide to network coding, a rapidly developing research field.

Network coding has revolutionized network communications and has had a significant impact on various research fields, including coding theory, networking, wireless communications, and more. This book aims to present the fundamental results that have laid the foundation of network coding, effectively bridging the gap between theory and application. With its unifying and coherent approach, this book is perfect for both professionals and students seeking a comprehensive understanding of the subject.

What sets "Information Theory and Network Coding" apart from other books in the market is its inclusion of two new chapters on information theory for continuous random variables. These chapters delve into topics such as differential entropy and continuous-valued channels, making this book more comprehensive and suitable as a textbook for electrical engineering courses. Stay ahead of the curve and equip yourself with the knowledge that will shape the future of information technology.

Don't miss out on this remarkable opportunity to expand your knowledge in information theory and network coding. Take a step towards enhancing your understanding of network communications and revolutionize your career. Get your copy of "Information Theory and Network Coding" today!

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