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| A First Course in Information Theory (Information Technology: Transmission, Processing and Storage) | 
 enlarge | Author: Raymond W. Yeung
Publisher: Springer
Category: Book
List Price: $74.95
Buy New: $54.36
You Save: $20.59 (27%)
New (14) Used (5) from $54.34
Avg. Customer Rating:  4 reviews
Media: Hardcover
Number Of Items: 1
Pages: 434
Shipping Weight (lbs): 2
Dimensions (in): 8.8 x 6.1 x 1.3
ISBN: 0306467917
Dewey Decimal Number: 003.54
EAN: 9780306467912
Publication Date: June 16, 2006
Availability: Usually ships in 1-2 business days
Condition: New Book. International Shipping Available
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Product Description
Incepted half a century ago, information theory is a classical yet modern field which is more vibrant than ever before. In particular, there have been a number of major research results on the foundation of the theory during the last ten years. These results enable information theory to be understood and explored in a way which has not been possible before, and they open new dimensions in the theory. In short, the depth of information theory is far beyond what we used to know. This book is an integration of the most fundamental topics in information theory plus a few selected advanced topics. All concepts and technicalities are explained with clarity. Except for a few classical results, all the results included here are not found elsewhere in book form. These include the theory of I-Measure, Shannon-type and non-Shannon-type information inequalities, and network coding theory. Some important implications of information theory in probability theory and group theory are also explained in this book. ITIP, the software package that comes with the book, is the only software package of its kind which can prove all Shannon-type information inequalities. It is an essential tool for all information theorists. This book is suitable for use as a textbook, or as a reference book with any other textbook in a course on information theory. It is also an essential reference for researchers working in areas related to this subject matter.
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| Customer Reviews:
Rigorous/wonderfully well written information theory text March 21, 2008
1 out of 1 found this review helpful
Rigorous, insightful and well written treatment of traditional information theory and the latest advancements.
As an engineering executive and technologist working in the wireless broadband and communication/networking industries, I can not recommend enough of this wonderful text to researchers and practitioners.
Great, unique, modern - but also advanced May 8, 2007
This is certainly one of the best textbooks on information theory. I would put it in line with the ones by Gallager and Cover/Thomas. It gives a fresh and modern perspective on information theory and prepares the reader very well for the new hot topics. It is well written, provides lots of examples, all good and interesting. The topics covered in this book span from the very basics to almost state of the art. Thus - and this is the only point I can criticize - some of the material may not be suited for a first course in information theory, rather than for a second course. To sum up, I can really recommend this book to anyone studying this topic.
 An advanced book on Information Theory March 26, 2007
2 out of 3 found this review helpful
This book provides the most important results on Information Theory, and it is up to date. It provides to the reader the necessary background and the important notions about this subject. It is well organized, although in some parts it can be a bit hard to understand some of the proofs.
I recommend this book, specially for advanced readers.
From insight to cutting edge research in information theory! January 30, 2005
6 out of 9 found this review helpful
This book really motivates me to learn information theory and to discover the insight given by the subject. I had no or very little background on information theory before I took Professor Yeung's course. Now I am deeply interested in the subject (Of course, you do not need to take the course in order to fall in love with the book). The book may not be a no brainer, but its clear explanations of the concepts and mind-opening analytical examples easily led me not only to understand the subject very well, but also to realize the close relationship between math and information. That's the greatest part of the book. Later chapters in the book introduce many cutting edge research results in the subject which gives me a lot of ideas for research directions. If you are serious about learning information theory, this is the book you will love. Cover and Thomas book "Elements of Information Theory" is also good, but it is a bit less insightful (i.e., it is really a "text-book" :)), and the explanations of concepts are a bit on the shallow side. I suggest to use it as a reference to Yeung's book.
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