| 000 | 07992nam a2201693 i 4500 | ||
|---|---|---|---|
| 001 | 5273551 | ||
| 003 | IEEE | ||
| 005 | 20220712205718.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151221s1999 nyua ob 001 eng d | ||
| 020 |
_a9780470544907 _qelectronic |
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| 020 |
_z9780780353633 _qprint |
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| 020 |
_z0470544902 _qelectronic |
||
| 024 | 7 |
_a10.1109/9780470544907 _2doi |
|
| 035 | _a(CaBNVSL)mat05273551 | ||
| 035 | _a(IDAMS)0b000064810d10dc | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aQ367 _b.I525 2000eb |
|
| 082 | 0 | 4 |
_a003/.54 _222 |
| 245 | 0 | 0 |
_aInformation theory : _b50 years of discovery / _cedited by Sergio Verd�u, Steven W. McLaughlin ; IEEE Information Theory Society, sponsor. |
| 264 | 1 |
_aNew York : _bIEEE Press, _cc2000. |
|
| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1999] |
|
| 300 |
_a1 PDF (x, 758 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 504 | _aIncludes bibliographical references and indexes. | ||
| 505 | 0 | _aPreface (S. McLaughlin). Guest Editorial (S. Verdu). PAPERS. On the Role of Pattern Matching in Information Theory (A. Wyner, et al.). Fifty Years of Shannon Theory (S. Verdu). The Interactions Between Ergodic Theory and Information Theory (P. Shields). Information-Theoretic Image Formation (J. O'Sullivan, et al.). Universal Prediction (N. Merhav & M. Feder). Reliable Communication Under Channel Uncertainty (A. Lapidoth & P. Narayan). Learning Pattern Classification -- A Survey (S. Kulkarni, et al.). Zero-Error Information Theory (J. Korner & A. Orlitsky). Detection of Stochastic Processes (T. Kailath & H. Poor). Codes for Digital Recorders (K. Immink, et al.). Statistical Inference Under Multiterminal Data Compression (T. Han & S. Amari). Quantization (R. Gray & D. Neuhoff). Modulation and Coding for Linear Gaussian Channels (G. Forney & G. Ungerboeck). Information Theory and Communication Networks: An Unconsummated Union (A. Ephremides & B. Hajek). Data Compression and Harmonic Analysis (D. Donoho, et al.). Association Schemes and Coding Theory (P. Delsarte & V. Levenshtein). The Method of Types (I. Csiszar). Comments on Broadcast Channels (T. Cover). Applications of Error-Control Coding (D. Costello, et al.). The Art of Signaling: Firty Years of Coding Theory (A. Calderbank). Algebraic-Geometry Codes (I. Blake, et al.). Fading Channels: Information-Theoretic and Communications Aspects (E. Biglieri, et al). Lossy Source Coding (T. Berger & J. Gibson). Quantum Information Theory (C. Bennett & P. Shor). The Minimum Description Length Principle in Coding and Modeling (A. Barron, et al.). Author Index. Subject Index. Contributors. | |
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _a"In 1948 Claude Shannon published the paper that single-handedly started the field of information theory, ""The Mathematical Theory of Communication."" This groundbreaking paper laid the foundation for virtually all aspects of modern-day communications. Now INFORMATION THEORY celebrates the discovery of this dynamic field with a major collection of 25 tutorial articles spanning the last 50 years. With over 3,000 references, this book is an ideal resource for industry researchers, practicing engineers, and graduate students in communications, signal processing, and computing. Compiled by the editors of the IEEE Transactions on Information Theory, these articles have been written by leaders in the field, providing insightful introductions and useful summaries of 50 years of work on the theory and practice of * Data compression * Error correction * Modulation and coding * Detection and estimation * Shannon theory * Signal processing. INFORMATION THEORY comes complete with a CD-ROM that includes the author, subject, and transaction indexes of the IEEE Transactions in Information Theory Digital Library. The CD-ROM also includes a complete listing of, and hyperlinks to, all papers from IEEE Transactions on Information Theory since its inception in 1953." Sponsored by: IEEE Information Theory Society. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/21/2015. | ||
| 650 | 0 |
_aInformation theory. _914256 |
|
| 655 | 0 |
_aElectronic books. _93294 |
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| 695 | _aArtificial neural networks | ||
| 695 | _aBandwidth | ||
| 695 | _aBinary phase shift keying | ||
| 695 | _aBiographies | ||
| 695 | _aBooks | ||
| 695 | _aChannel capacity | ||
| 695 | _aChannel coding | ||
| 695 | _aChannel models | ||
| 695 | _aClassification algorithms | ||
| 695 | _aCommunication networks | ||
| 695 | _aComplexity theory | ||
| 695 | _aCompounds | ||
| 695 | _aComputational modeling | ||
| 695 | _aComputer science | ||
| 695 | _aContext | ||
| 695 | _aConvergence | ||
| 695 | _aData compression | ||
| 695 | _aData mining | ||
| 695 | _aData models | ||
| 695 | _aDecoding | ||
| 695 | _aDelay | ||
| 695 | _aDigital magnetic recording | ||
| 695 | _aDistortion measurement | ||
| 695 | _aDoppler effect | ||
| 695 | _aEncoding | ||
| 695 | _aEntropy | ||
| 695 | _aError probability | ||
| 695 | _aEstimation | ||
| 695 | _aExtraterrestrial measurements | ||
| 695 | _aFading | ||
| 695 | _aFinite element methods | ||
| 695 | _aGain | ||
| 695 | _aGalois fields | ||
| 695 | _aGaussian channels | ||
| 695 | _aGenerators | ||
| 695 | _aGeometry | ||
| 695 | _aGraph theory | ||
| 695 | _aHarmonic analysis | ||
| 695 | _aHilbert space | ||
| 695 | _aHistory | ||
| 695 | _aImage coding | ||
| 695 | _aImaging | ||
| 695 | _aIndexes | ||
| 695 | _aInformation theory | ||
| 695 | _aJamming | ||
| 695 | _aJoints | ||
| 695 | _aLinear code | ||
| 695 | _aLinear programming | ||
| 695 | _aLogic gates | ||
| 695 | _aMarkov processes | ||
| 695 | _aMarkov random fields | ||
| 695 | _aMatched filters | ||
| 695 | _aMathematical model | ||
| 695 | _aMatrices | ||
| 695 | _aMaximum likelihood decoding | ||
| 695 | _aMaximum likelihood estimation | ||
| 695 | _aMeasurement | ||
| 695 | _aModulation | ||
| 695 | _aMultiaccess communication | ||
| 695 | _aMultipath channels | ||
| 695 | _aNearest neighbor searches | ||
| 695 | _aNoise | ||
| 695 | _aParameter estimation | ||
| 695 | _aPattern classification | ||
| 695 | _aPattern matching | ||
| 695 | _aPhase change materials | ||
| 695 | _aPolynomials | ||
| 695 | _aPrediction theory | ||
| 695 | _aProbabilistic logic | ||
| 695 | _aProbability distribution | ||
| 695 | _aProtocols | ||
| 695 | _aQuantization | ||
| 695 | _aQuantum computing | ||
| 695 | _aQuantum entanglement | ||
| 695 | _aRadar | ||
| 695 | _aRandom processes | ||
| 695 | _aRandom variables | ||
| 695 | _aRate-distortion | ||
| 695 | _aReceivers | ||
| 695 | _aRedundancy | ||
| 695 | _aReed-Solomon codes | ||
| 695 | _aSaturation magnetization | ||
| 695 | _aSignal detection | ||
| 695 | _aSource coding | ||
| 695 | _aStochastic processes | ||
| 695 | _aSupport vector machine classification | ||
| 695 | _aTesting | ||
| 695 | _aTime frequency analysis | ||
| 695 | _aTraining | ||
| 695 | _aTraining data | ||
| 695 | _aTransform coding | ||
| 695 | _aTransforms | ||
| 695 | _aTransmitters | ||
| 695 | _aUpper bound | ||
| 695 | _aVectors | ||
| 695 | _aWhite noise | ||
| 695 | _aWire | ||
| 695 | _aAdditives | ||
| 695 | _aApproximation methods | ||
| 700 | 1 |
_aVerd�u, Sergio, _d1958- _927198 |
|
| 700 | 1 |
_aMcLaughlin, Steven W., _d1962- _927199 |
|
| 710 | 2 |
_aJohn Wiley & Sons, _epublisher. _96902 |
|
| 710 | 2 |
_aIEEE Information Theory Society. _927200 |
|
| 710 | 2 |
_aIEEE Xplore (Online service), _edistributor. _927201 |
|
| 776 | 0 | 8 |
_iPrint version: _z9780780353633 |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5273551 |
| 942 | _cEBK | ||
| 999 |
_c73995 _d73995 |
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