A First Course in Information Theory
A First Course in Information Theory by Raymond W. Yeung is a comprehensive introduction to the principles of information theory, published by Springer US on October 30, 2012. This softcover reprint of the original 1st edition from 2002 spans 412 pages and is presented in English. The book covers classical topics while also introducing advanced concepts such as I-Measure, network coding theory, and the relationship between entropy and group theory.
Readers will find a wealth of examples, illustrations, and original problems throughout the text, making it suitable for both senior and graduate-level courses. Additionally, the inclusion of ITIP, a software package for proving information inequalities, enhances its utility as a reference for researchers in technology, engineering, and mathematics. This edition serves as a valuable resource for those looking to deepen their understanding of information theory and its applications in various scientific fields.
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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.
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