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A First Course in Information Theory is 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.
Published by: Springer
Publication Date: 2002-04-30
Format: Hardcover
ISBN-13: 9780306467912
DOI: 10.1007/978-1-4419-8608-5
Dimensions: 235cm x155cm
Pages: 412