THOMAS M. COVER, PHD, is Professor in the departments of electrical engineering and statistics, Stanford University. A recipient of the 1991 IEEE Claude E. Shannon Award, Dr. Cover is a past president of the IEEE Information Theory Society, a Fellow of the IEEE and the Institute of Mathematical Statistics, and a member of the National Academy of Engineering and the American Academy of Arts and Science. He has authored more than 100 technical papers and is coeditor of Open Problems in Communication and Computation.
JOY A. THOMAS, PHD, is the Chief Scientist at Stratify, Inc., a Silicon Valley start-up specializing in organizing unstructured information. After receiving his PhD at Stanford, Dr. Thomas spent more than nine years at the IBM T. J. Watson Research Center in Yorktown Heights, New York. Dr. Thomas is a recipient of the IEEE Charles LeGeyt Fortescue Fellowship.
The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.
All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.
The Second Edition features:
* Chapters reorganized to improve teaching
* 200 new problems
* New material on source coding, portfolio theory, and feedback capacity
* Updated references
Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
这不是一本入门书, 更不是一本适合一口气读完的书。如果你已经对信息论已经有了相当程度的理解和掌握后,这是一本非常好,非常标准的查阅手册。对于此前对信息论没什么了解的同学, 不建议直接啃这本书。书中的公式和推导证明一个接着一个,解释非常精简,对于初学者来说,精...
评分感觉挺明白浅显的,本科的老师用的这本教材,不过她明显没有好好备课,讲的乱七八糟的,都是自己看的,还不错,现在还记得一些印象。 不过我对翻译的书都没什么好印象,所以还是建议大家去读英文版的吧。
评分这不是一本入门书, 更不是一本适合一口气读完的书。如果你已经对信息论已经有了相当程度的理解和掌握后,这是一本非常好,非常标准的查阅手册。对于此前对信息论没什么了解的同学, 不建议直接啃这本书。书中的公式和推导证明一个接着一个,解释非常精简,对于初学者来说,精...
评分Cover先生是牛人,IEEE的Fellow。 这本书网上也有英文的电子版。可以试一试直接看英文版。也是不错的。 讲的最后两章指明了现在和将来信息论可能的研究方向。
评分虽然概念比较难懂,但如果能找到切入点很容易明白。建议看 www.googlechinablog.com 的数学之美系列文章。
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