Information theory and network coding

Information Theory and Network Coding consists of two parts: Components of Information Theory, and Fundamentals of Network Coding Theory. Part I is a rigorous treatment of information theory for discrete and continuous systems. In addition to the classical topics, there are such modern topics as the...

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主要作者: Yeung, Raymond W., 1962-
格式: Livre numérique
語言:Anglais
出版: New York, NY : Springer US 2008.
Cham : Springer Nature
叢編:Information Technology Transmission Processing and Storage
在線閱讀:Accès sur la plateforme de l'éditeur
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Edition sous un autre format:• Information theory and network coding, Raymond W. Yeung, New York (N.Y.), Springer, 2008, 1 vol. (XX-579 p.), Information technology : transmission, processing, and storage, 978-0-387-79233-0
• Molecular evolution, Vadim A. Ratner ... [et al.], Berlin, Springer, 1996, 1 vol. (xii- 433 p.), Biomathematics, 3-540-57083-7
• Information theory and network coding, Raymond W. Yeung, New York (N.Y.), Springer, 2008, 1 vol. (XX-579 p.), Information technology : transmission, processing, and storage, 978-0-387-79233-0
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245 1 0 |a Information theory and network coding   |c by Raymond W. Yeung ; edited by Robert Gallager, Jack Keil Wolf. 
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505 0 |a The Science of Information -- The Science of Information -- Fundamentals of Network Coding -- Information Measures -- Information Measures -- Zero-Error Data Compression -- Weak Typicality -- Strong Typicality -- Discrete Memoryless Channels -- Rate-Distortion Theory -- The Blahut Arimoto Algorithms -- Differential Entropy -- Continuous-Valued Channels -- Markov Structures -- Information Inequalities -- Shannon-Type Inequalities -- Beyond Shannon-Type Inequalities -- Entropy and Groups -- Fundamentals of Network Coding -- The Max-Flow Bound -- Single-Source Linear Network Coding: Acyclic Networks -- Single-Source Linear Network Coding: Cyclic Networks -- Multi-source Network Coding. 
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506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a Information Theory and Network Coding consists of two parts: Components of Information Theory, and Fundamentals of Network Coding Theory. Part I is a rigorous treatment of information theory for discrete and continuous systems. In addition to the classical topics, there are such modern topics as the I-Measure, Shannon-type and non-Shannon-type information inequalities, and a fundamental relation between entropy and group theory. With information theory as the foundation, Part II is a comprehensive treatment of network coding theory with detailed discussions on linear network codes, convolutional network codes, and multi-source network coding. Other important features include: Derivations that are from the first principle A large number of examples throughout the book Many original exercise problems Easy-to-use chapter summaries Two parts that can be used separately or together for a comprehensive course Information Theory and Network Coding is for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics. This work can also be used as a reference for professional engineers in the area of communications. 
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