{
"item_title" : "A First Course in Information Theory",
"item_author" : [" Raymond W. Yeung "],
"item_description" : "This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.",
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A First Course in Information Theory
Overview
This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
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Details
- ISBN-13: 9781461346456
- ISBN-10: 1461346452
- Publisher: Springer
- Publish Date: October 2012
- Dimensions: 9.21 x 6.14 x 0.89 inches
- Shipping Weight: 1.35 pounds
- Page Count: 412
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