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A First Course in Information Theory /

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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 relat...

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Bibliographic Details
Main Author: Yeung, Raymond W.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Boston, MA : Springer US, 2002.
Series:Information technology--transmission, processing, and storage.
Subjects:
Engineering.
Computational complexity.
Group theory.
Distribution (Probability theory)
Computer engineering.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Item Description:Electronic resource.
Physical Description:1 online resource (xxiii, 412 pages)
ISBN:9781441986085 (electronic bk.)
1441986081 (electronic bk.)
ISSN:1389-6938