000			02911nam a22003975i 4500
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007			cr nn 008mamaa
008			180309s2018 si | s |||| 0|eng d
020			_a9789811084324
024	7		_a10.1007/978-981-10-8432-4 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTK5101
100	1		_aGazi, Orhan. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/41748429/
245	1	0	_aInformation Theory for Electrical Engineers _cby Orhan Gazi.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (IX, 276 páginas 122 ilustraciones, 2 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSignals and Communication Technology, _x1860-4862
490	0		_aEngineering (Springer-11647)
505	0		_aConcept of Information, Discrete Entropy and Mutual Information -- Entropy for Continuous Random Variables Discrete Channel Capacity, Continuous Channel Capacity -- Typical Sequences and Data Compression -- Channel Coding Theorem.
520	3		_aThis book explains the fundamental concepts of information theory, so as to help students better understand modern communication technologies. It was especially written for electrical and communication engineers working on communication subjects. The book especially focuses on the understandability of the topics, and accordingly uses simple and detailed mathematics, together with a wealth of solved examples. The book consists of four chapters, the first of which explains the entropy and mutual information concept for discrete random variables. Chapter 2 introduces the concepts of entropy and mutual information for continuous random variables, along with the channel capacity. In turn, Chapter 3 is devoted to the typical sequences and data compression. One of Shannon's most important discoveries is the channel coding theorem, and it is critical for electrical and communication engineers to fully comprehend the theorem. As such, Chapter 4 solely focuses on it. To gain the most from the book, readers should have a fundamental grasp of probability and random variables; otherwise, they will find it nearly impossible to understand the topics discussed.
988			_aEBSPRINGER_2018
650		7	_aTelecomunicaciones _2embne _9138448
776	0	8	_iEdición impresa: _z9789811084317
776	0	8	_iEdición impresa: _z9789811084331
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-8432-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI