The latest edition of this classic is updated with new problem sets and material
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.
"synopsis" may belong to another edition of this title.
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.
"As expected, the quality of exposition continues to be a high point of the book. Clear explanations, nice graphical illustrations, and illuminating mathematical derivations make the book particularly useful as a textbook on information theory." (Journal of the American Statistical Association, March 2008)
"This book is recommended reading, both as a textbook and as a reference." (Computing Reviews.com, December 28, 2006)
"About this title" may belong to another edition of this title.
Shipping:
FREE
From United Kingdom to U.S.A.
Book Description John Wiley & Sons Inc, United States, 2006. Hardback. Condition: New. 2nd Edition. Language: English. Brand new Book. The latest edition of this classic is updated with new problem sets and material 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. Seller Inventory # ALB9780471241959
Book Description Wiley, 2006. Hardcover. Condition: BRAND NEW. Seller Inventory # 0471241954_abe_bn
Book Description Wiley-Interscience, 2006. Condition: New. A+ Customer service! Satisfaction Guaranteed! Book is in NEW condition. Seller Inventory # 0471241954-2-1
Book Description Condition: new. Book is in NEW condition. Satisfaction Guaranteed! Fast Customer Service!!. Seller Inventory # MBSN0471241954
Book Description Wiley 2006-09-08, Hoboken, N.J., 2006. hardback. Condition: New. Language: ENG. Seller Inventory # 9780471241959
Book Description Wiley-Blackwell 2006-09-08, 2006. Hardcover. Condition: New. Seller Inventory # 6666-GRD-9780471241959
Book Description Condition: New. book. Seller Inventory # ria9780471241959_new
Book Description Wileyand#8211;Blackwell, 2006. HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # GB-9780471241959
Book Description Wiley-Blackwell, 2006. Hardcover. Condition: New. BRAND NEW ** SUPER FAST SHIPPING FROM UK WAREHOUSE ** 30 DAY MONEY BACK GUARANTEE. Seller Inventory # mon0000248093
Book Description John Wiley and Sons Ltd, 2006. Condition: New. 2006. 2nd Edition. Hardcover. The latest edition of this classic is updated with new problem sets and material 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. Num Pages: 776 pages, Illustrations. BIC Classification: GPF. Category: (P) Professional & Vocational. Dimension: 241 x 157 x 40. Weight in Grams: 1194. . . . . . Seller Inventory # V9780471241959