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|a 9780387792347
|9 978-0-387-79234-7
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|a 10.1007/978-0-387-79234-7
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|a 004.0151
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|a Yeung, Raymond W.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Information Theory and Network Coding
|h [electronic resource] /
|c by Raymond W. Yeung.
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| 250 |
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|a 1st ed. 2008.
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| 264 |
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|a New York, NY :
|b Springer US :
|b Imprint: Springer,
|c 2008.
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|a XX, 580 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Information Technology: Transmission, Processing and Storage
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|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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| 520 |
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|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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|a Computers.
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|a Computer communication systems.
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|a Electrical engineering.
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|a Data structures (Computer science).
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|a Probabilities.
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|a Theory of Computation.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I16005
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|a Computer Communication Networks.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I13022
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|a Communications Engineering, Networks.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T24035
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|a Data Structures and Information Theory.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I15009
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| 650 |
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|a Probability Theory and Stochastic Processes.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M27004
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9780387570839
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|i Printed edition:
|z 9781441946300
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| 776 |
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|i Printed edition:
|z 9780387792330
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| 830 |
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|a Information Technology: Transmission, Processing and Storage
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| 856 |
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|u https://doi.org/10.1007/978-0-387-79234-7
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| 912 |
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|a ZDB-2-ENG
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| 912 |
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|a ZDB-2-SXE
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| 950 |
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|a Engineering (SpringerNature-11647)
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| 950 |
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|a Engineering (R0) (SpringerNature-43712)
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