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020 _a9780387792347
_99780387792347
024 7 _a10.1007/9780387792347
_2doi
035 _avtls000333005
039 9 _a201509030222
_bVLOAD
_c201404122326
_dVLOAD
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTK1-9971
100 1 _aYeung, Raymond W.
_eautor
_9303433
245 1 0 _aInformation Theory and Network Coding /
_cby Raymond W. Yeung.
264 1 _aBoston, MA :
_bSpringer US,
_c2008.
300 _axxii, 582 páginas 130 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aInformation Technology Transmission Processing and Storage
500 _aSpringer eBooks
505 0 _aThe 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.
520 _aInformation 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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387792330
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-79234-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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