000			03135nam a22004095i 4500
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007			cr nn 008mamaa
008			230422s2014 sz | s |||| 0|eng d
020			_a9783031016806
024	7		_a10.1007/978-3-031-01680-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ385 _b2014 EB
100	1		_aGibson, Jerry D. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _973099
245	1	0	_aInformation Theory and Rate Distortion Theory for Communications and Compression _cby Jerry Gibson
250			_a1st edition 2014
264		1	_aCham _bSpringer International Publishing _c2014
300			_a1 recurso en línea (XII, 115 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Communications _x1932-1708
505	0		_aPreface -- Communications, Compression and Fundamental Limits -- Entropy and Mutual Information -- Lossless Source Coding -- Channel Capacity -- Rate Distortion Theory and Lossy Source Coding -- Bibliography -- Author's Biography.
520			_aThis book is very specifically targeted to problems in communications and compression by providing the fundamental principles and results in information theory and rate distortion theory for these applications and presenting methods that have proved and will prove useful in analyzing and designing real systems. The chapters contain treatments of entropy, mutual information, lossless source coding, channel capacity, and rate distortion theory; however, it is the selection, ordering, and presentation of the topics within these broad categories that is unique to this concise book. While the coverage of some standard topics is shortened or eliminated, the standard, but important, topics of the chain rules for entropy and mutual information, relative entropy, the data processing inequality, and the Markov chain condition receive a full treatment. Similarly, lossless source coding techniques presented include the Lempel-Ziv-Welch coding method. The material on rate Distortion theory and exploring fundamental limits on lossy source coding covers the often-neglected Shannon lower bound and the Shannon backward channel condition, rate distortion theory for sources with memory, and the extremely practical topic of rate distortion functions for composite sources.
988			_aSynthesis Collection of Technology_2014
650		7	_2embne _9140554 _aInformación, Teoría de la
650		7	_2embne _9679195 _aCompresión de datos (Informática)
776	0	8	_iPrinted edition: _z9783031005527
776	0	8	_iPrinted edition: _z9783031028083
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01680-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI