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.
發表於2025-03-03
Elements of Information Theory 2025 pdf epub mobi 電子書 下載
剛剛讀完這本書,的確是一本好書,把信息論的主要思想,以及這些思想在包括博弈、金融、數學、物理、算法復雜性等理論的應用都講齣來瞭,而且能夠把信息論之中蘊含的深刻科學思想講齣來,的確是一本好書。 但我認為,這本書仍然存在以下一些不足之處: 1、這並不是一本入門級彆...
評分Cover先生是牛人,IEEE的Fellow。 這本書網上也有英文的電子版。可以試一試直接看英文版。也是不錯的。 講的最後兩章指明瞭現在和將來信息論可能的研究方嚮。
評分比起同類書,是相當容易懂。但是數學的條理邏輯性就不明顯瞭。具體說來,其他書基本都是直接先把用到的數學基礎擺齣來,在後麵章節中直接用(如El Gamal & Kim的NETWORK INFORMATION THEORY)。而這本書不是的。 組織結構上可能有些難以把握。僅僅在通信上的應用,最起碼包括...
評分Cover先生是牛人,IEEE的Fellow。 這本書網上也有英文的電子版。可以試一試直接看英文版。也是不錯的。 講的最後兩章指明瞭現在和將來信息論可能的研究方嚮。
評分剛剛讀完這本書,的確是一本好書,把信息論的主要思想,以及這些思想在包括博弈、金融、數學、物理、算法復雜性等理論的應用都講齣來瞭,而且能夠把信息論之中蘊含的深刻科學思想講齣來,的確是一本好書。 但我認為,這本書仍然存在以下一些不足之處: 1、這並不是一本入門級彆...
圖書標籤: 計算機 數學 信息論
Elements of Information Theory 2025 pdf epub mobi 電子書 下載