A First Course in Information Theory
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.
1117271668
A First Course in Information Theory
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.
199.99
In Stock
5
1
A First Course in Information Theory
412A First Course in Information Theory
412Paperback(Softcover reprint of the original 1st ed. 2002)
$199.99
199.99
In Stock
Product Details
ISBN-13: | 9781461346456 |
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Publisher: | Springer US |
Publication date: | 10/30/2012 |
Series: | Information Technology: Transmission, Processing and Storage |
Edition description: | Softcover reprint of the original 1st ed. 2002 |
Pages: | 412 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.04(d) |
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