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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.
Content Level »Research
Keywords »Excel - Group theory - Information - Matroid - Random variable - Shannon - algorithms - coding - coding theory - data compression - entropy - information theory