"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. - Newmaterial 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." New edition of classic text Important engineering applications of performance bounds and code design for communication systems Distinguished author INDICE: Preface.- Introduction.- Information Sources.- Pair Processes: Channels, Codes, and Couplings.- Entropy.- The Entropy Ergodic Theorem.- Distortion and Approximation.- Distortion and Entropy.- Relative Entropy.- InformationRates.- Distortion vs. Rate.- Relative Entropy Rates.- Ergodic Theorems for Densities.- Source Coding Theorems.- Coding for Noisy Channels.- Bibliography.-References.- Index
- ISBN: 978-1-4419-7969-8
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 375
- Fecha Publicación: 27/01/2011
- Nº Volúmenes: 1
- Idioma: Inglés