| 书目名称 | Entropy and Information Theory | | 编辑 | Robert M. Gray | | 视频video | | | 概述 | New edition of classic text.Important engineering applications of performance bounds and code design for communication systems.Distinguished author.Includes supplementary material: | | 图书封面 |  | | 描述 | .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 | | 出版日期 | Book 2011Latest edition | | 关键词 | Entropy; Shannon information theory; compression; ergodic theory; quantization; rate-distortion theory; sl | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4419-7970-4 | | isbn_softcover | 978-1-4899-8132-5 | | isbn_ebook | 978-1-4419-7970-4 | | copyright | Springer Science+Business Media, LLC 2011 |
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发表于 2025-3-21 19:34:45
