Information Theory and Network Coding (Information Technology: Transmission, Processing and Storage) - gebonden uitgave, pocketboek

EAN (ISBN-13): 9780387792330
ISBN (ISBN-10): 0387792333
Gebonden uitgave
Verschijningsjaar: 2008
Uitgever: Springer
582 Bladzijden
Gewicht: 1,016 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2008-05-29T16:55:41+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2022-04-09T15:18:52+02:00 (Amsterdam)
ISBN/EAN: 0387792333

ISBN - alternatieve schrijfwijzen:
0-387-79233-3, 978-0-387-79233-0
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: raymond, yeung
Titel van het boek: theory information coding, network coding theory, transmission, first course coding theory

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Gegevens van de uitgever

Auteur: Raymond W. Yeung
Titel: Information Technology: Transmission, Processing and Storage; Information Theory and Network Coding
Uitgeverij: Springer; Springer US
580 Bladzijden
Verschijningsjaar: 2008-09-10
New York; NY; US
Gedrukt / Gemaakt in
Taal: Engels
98,99 € (DE)

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; Shannon; algorithms; coding theory; communication; complexity; complexity theory; computer; computer network; data compression; information; information theory; Theory of Computation; Computer Communication Networks; Communications Engineering, Networks; Data Structures and Information Theory; Probability Theory; Netzwerk-Hardware; Nachrichtententechnik, Telekommunikation; Algorithmen und Datenstrukturen; Informationstheorie; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; BC

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.