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008			141115s2015 gw | s |||| 0|eng d
020			_a9783319125237
024	7		_a10.1007/978-3-319-12523-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ360 2015 EB
100	1		_aAhlswede, Rudolf _eautor _999075
245	1	0	_aTransmitting and Gaining Data _bRudolf Ahlswede's Lectures on Information Theory 2 _cby Rudolf Ahlswede ; edited by Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XVII, 461 páginas 4 ilustraciones)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aFoundations in Signal Processing, Communications and Networking _x1863-8538 ; _v11
490	0		_aEngineering (Springer-11647)
505	0		_aWords and Introduction of the Editors -- Preface -- I.Transmitting Data -- 1.Special Channels -- 2.Algorithms for Computing Channel Capacities and Rate-distortion Functions -- 3.Shannon's Model for Continuous Transmission -- 4.On Sliding-Block Codes -- 5.On λ-Capacities and Information Stability -- 6.Channels with Infinite Alphabets -- II.Gaining Data -- 7.Selected Topics of Information Theory and Mathematical Statistics -- 8.β-Biased Estimators in Data Compression -- III.Supplement -- Rudolf Ahlswede 1938-2010 -- Comments by Gerhard Kramer -- List of Notations -- Index -- Name Index.
520	3		_aThe calculation of channel capacities was one of Rudolf Ahlswede's specialties and is the main topic of this second volume of his Lectures on Information Theory. Here we find a detailed account of some very classical material from the early days of Information Theory, including developments from the USA, Russia, Hungary and which Ahlswede was probably in a unique position to describe the German school centered around his supervisor Konrad Jacobs. These lectures made an approach to a rigorous justification of the foundations of Information Theory. This is the second of several volumes documenting Rudolf Ahlswede's lectures on Information Theory. Each volume includes comments from an invited well-known expert. In the supplement to the present volume, Gerhard Kramer contributes his insights. Classical information processing concerns the main tasks of gaining knowledge and the storage, transmission and hiding of data. The first task is the prime goal of Statistics. For transmission and hiding of data, Shannon developed an impressive mathematical theory called Information Theory, which he based on probabilistic models. The theory largely involves the concept of codes with small error probabilities in spite of noise in the transmission, which is modeled by channels. The lectures presented in this work are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used as the basis for courses or to supplement courses in many ways. Ph.D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs.
988			_aEBSPRINGER_2018
650		7	_aInformación, Teoría de la _2embne _9140554
700	1		_aAhlswede, Alexander _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2014014385 _1http://viaf.org/viaf/86107552/ _999076
700	1		_aAlthöfer, Ingo _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n00001844 _1http://viaf.org/viaf/13166298/ _999077
700	1		_aDeppe, Christian _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2013011795 _1http://viaf.org/viaf/312755327/ _999078
700	1		_aTamm, Ulrich. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2014014386 _1http://viaf.org/viaf/309833976/ _999079
776	0	8	_iEdición impresa: _z9783319125220
776	0	8	_iEdición impresa: _z9783319125244
776	0	8	_iEdición impresa: _z9783319356563
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-12523-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2019 _dz _ek _feng _ggw _h0