- Hardcover: 576 pages
- Publisher: Wiley-Interscience; 1 edition (Aug 12 1991)
- Language: English
- ISBN-10: 0471062596
- ISBN-13: 978-0471062592
- Product Dimensions: 24.3 x 16.3 x 3.2 cm
- Shipping Weight: 971 g
- Average Customer Review: 4.2 out of 5 stars See all reviews (14 customer reviews)
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Amazon Bestsellers Rank:
#282,509 in Books (See Top 100 in Books)
- #60 in Books > Computers & Internet > Computer Science > Information Theory
- See Complete Table of Contents
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Product Description
Book Description
Following a brief introduction and overview, early chapters cover the basic algebraic relationships of entropy, relative entropy and mutual information, AEP, entropy rates of stochastics processes and data compression, duality of data compression and the growth rate of wealth. Later chapters explore Kolmogorov complexity, channel capacity, differential entropy, the capacity of the fundamental Gaussian channel, the relationship between information theory and statistics, rate distortion and network information theories. The final two chapters examine the stock market and inequalities in information theory. In many cases the authors actually describe the properties of the solutions before the presented problems.
From the Publisher
Following a brief introduction and overview, early chapters cover the basic algebraic relationships of entropy, relative entropy and mutual information, AEP, entropy rates of stochastics processes and data compression, duality of data compression and the growth rate of wealth. Later chapters explore Kolmogorov complexity, channel capacity, differential entropy, the capacity of the fundamental Gaussian channel, the relationship between information theory and statistics, rate distortion and network information theories. The final two chapters examine the stock market and inequalities in information theory. In many cases the authors actually describe the properties of the solutions before the presented problems.
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First Sentence
I WENT to work when I was just out of grammar school. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
I WENT to work when I was just out of grammar school. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most helpful customer reviews
3.0 out of 5 stars
Not a good primer for the subject,
By
This review is from: Elements of Information Theory (Hardcover)
This book is very thorough in its content, and the information is laid out very nicely, and easy to find. However, from a non-information theorist perspective it is not a good introduction. It covers the theory very well, but is light on the practical application (which is what drew me to the subject). This book requires a solid foundation in probability.
5.0 out of 5 stars
the best IT book in the market,
By ALAC (New York, NY USA) - See all my reviews
This review is from: Elements of Information Theory (Hardcover)
If you want a single book on information theory, you must have this one. Tom Cover, as one of the major contributors to the development of information theory over the years, wrote a clear and understandable book on a somewhat involved topic. The notation is neat and clean, something difficult to find in IT books. Also, the practice exercices at the end of each chapter are all of them worth doing. In each one you discover something in the theory you did not paid due attention. The spirit of IT important quantities such as the entropy and mutual information is well explained through examples and Venn diagrams. Also, despite the fact that this is a technical book, reading it can be quite enjoyable.
5.0 out of 5 stars
THE GATEWAY to the exciting field!,
By A Customer
This review is from: Elements of Information Theory (Hardcover)
This book is a research-level books that guides you to the world of information theory. Many arguements in the book are closely related to those in the latest information theory papers. For instance, the line of thought of the proof of channel capacity theorem (achievability->error analysis->converse) are still used in many network information theory papers. Hence, not only can readers refer to other papers when learning the subject(esp network information theory), but also get a solid foundation if he wants to continue with information theory. Another point is the intuition employed throughout the book. Dr.Cover visualizes many abstract notions (e.g. typical set)in information theory with clear diagrams. The subject suddenly becomes more approachable, and more importantly, these techniques are very important in subsequent study of the subject. Finally, the broad coverage of the book (of coz, it has depth) provides reader with a sip of the creativity and eclectic nature of information theory. In sum, after reading the book, readers will have some idea of this exciting field! But of coz, this is only the beginning!
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