Entropy and Information Theory [electronic resource] / by Robert M. Gray.
Tipo de material: TextoDescripción: XXVII, 409p. online resourceISBN: 9781441979704 99781441979704Tema(s): Engineering | Engineering | CODING AND INFORMATION THEORY | CODING THEORY | PROBABILITY TEORY AND STOCHASTIC PROCESSES | DISTRIBUTION (PROBABILITY THEORY) | SIGNAL, IMAGE AND SPEECH PROCESSING | STATICS FOR ENGINEERING, PHYSICS, COMPUTERS SCIENCE, CHEMISTRY AND EARTH SCIENCES | COMMUNICATIONS ENGINEERING, NETWORKS | TELECOMUNICACIÓNClasificación CDD: 621.382 Recursos en línea: ir a documentoTipo de ítem | Ubicación actual | Colección | Signatura | Info Vol | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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DOCUMENTOS DIGITALES | Biblioteca Jorge Álvarez Lleras | Digital | 621.382 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000358 |
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621.382 223 Wireless Networking Based Control | 621.382 223 Advances in Network-Embedded Management and Applications | 621.382 223 Spoken Dialogue Systems Technology and Design | 621.382 223 Entropy and Information Theory | 621.382 223 REST: | 621.382 223 Contemporary Methods for Speech Parameterization | 621.382 223 Video Segmentation and Its Applications |
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.
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.
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