Entropy and Information Theory
This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties. New...
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| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Boston, MA :
Springer US : Springer e-books
[20..].
Cham : Springer Nature |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Entropy and information theory, Robert M. Gray, 2nd edition, 2011, New York, Springer, 1 vol. (XXVII-409 p.), 978-1-441-97969-8 |
| LEADER | 03396nam a22003017a 4500 | ||
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| 041 | 0 | |a eng | |
| 082 | |a 621.382 | ||
| 100 | 1 | |a Gray, Robert M., |d 1943-...., |c mathématicien et informaticien. | |
| 245 | 1 | 0 | |a Entropy and Information Theory |c by Robert M. Gray. |
| 260 | |a Boston, MA : |b Springer US : |b Springer e-books. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Preface Introduction Information Sources Pair Processes: Channels, Codes, and Couplings Entropy The Entropy Ergodic Theorem Distortion and Approximation Distortion and Entropy Relative Entropy Information Rates Distortion vs. Rate Relative Entropy Rates Ergodic Theorems for Densities Source Coding Theorems Coding for Noisy Channels Bibliography References Index | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties. New in this edition: Expanded treatment of stationary or sliding-block codes and their relations to traditional block codes Expanded discussion of results from ergodic theory relevant to information theory Expanded treatment of B-processes -- processes formed by stationary coding memoryless sources New material on trading off information and distortion, including the Marton inequality New material on the properties of optimal and asymptotically optimal source codes New material on the relationships of source coding and rate-constrained simulation or modeling of random processes Significant material not covered in other information theory texts includes stationary/sliding-block codes, a geometric view of information theory provided by process distance measures, and general Shannon coding theorems for asymptotic mean stationary sources, which may be neither ergodic nor stationary, and d-bar continuous channels | ||
| 776 | 0 | |0 152712046 |t Entropy and information theory |f Robert M. Gray |e 2nd edition |d 2011 |c New York |n Springer |p 1 vol. (XXVII-409 p.) |z 978-1-441-97969-8 | |
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| 856 | 4 | |5 452349901:75062308X |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-1-4419-7970-4 |z Accès Université d'Orléans | |
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