Entropy and Information Theory [electronic resource] /by Robert M. Gray.
by Gray, Robert M [author.]; SpringerLink (Online service).
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BookPublisher: Boston, MA : Springer US, 2011.Description: XXVII, 409p. online resource.ISBN: 9781441979704.Subject(s): Engineering | Coding theory | Distribution (Probability theory) | Telecommunication | Engineering | Signal, Image and Speech Processing | Communications Engineering, Networks | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Probability Theory and Stochastic Processes | Coding and Information TheoryDDC classification: 621.382 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TA1637-1638 (Browse shelf) | Available | ||||
| TK7882.S65 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | TK5102.9 (Browse shelf) | Available |
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| TK7882.S65 Poisson Point Processes | TK7882.S65 Location, Localization, and Localizability | TK7882.S65 Spoken Dialogue Systems Technology and Design | TK7882.S65 Entropy and Information Theory | TK7882.S65 Analysis of Engineering Drawings and Raster Map Images | TK7882.S65 Contemporary Methods for Speech Parameterization | TK7882.S65 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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