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...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Boston, MA :
Springer US : Springer e-books
[20..].
Cham : Springer Nature |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
Sommario:
- 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