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Mathematical Theory of Communication Paperback – 15 January 1963

4.8 out of 5 stars 57 ratings

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''Since many volumes of literature have been written both about the contents of this book and as a result of its impact on the field, suffice it to say here that anyone interested in the efficient transfer of information from one point to another should be familiar with this work.''- Mathematics of Computation ''Has proved invaluable to biologists and psychologists as well as to physicists and engineers.''- The Times ''This book cannot be ignored by anyone with direct professional concern with these applications and many applied physicists without this concern should, like the reviewer, find the book absorbing.''- British Journal of Applied Physics ''A beautiful example of a theory that unifies hitherto separate branches of physical science... Dr. Weaver makes important suggestions as to how this unity may be extended to semantics and pragmatics.''- Philosophical Review ''Before this there was no universal way of measuring the complexities of messages or the capabilities of circuits to transmit them. Shannon gave us a mathematical way... invaluable ... to scientists and engineers the world over.''-Scientific American ''It was Shannon who made the epic (and beautifully metaphorical) distinction between signal and noise. He distinguished heroically between data and information... Shannon's communications theory established the intellectual basis of computers.'' - Stephen Bayley, GQ Magazine, May 2012

About the Author

Claude E. Shannon is a research mathematician at the Bell Telephone Laboratories and Donner professor of science at the Massachusetts Institute of Technology. Warren Weaver, at present a consultant on scientific projects to the Sloan Foundation, has had a distinguished academic, government, and foundation career. Both authors have received numerous awards and honors.

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4.8 out of 5 stars
4.8 out of 5
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Pietro
4.0 out of 5 stars Shannon Theory Background
Reviewed in the United Kingdom on 19 March 2017
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Peter F.
5.0 out of 5 stars One of the most influential booking in computing and communications
Reviewed in the United Kingdom on 25 July 2015
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Dicke Fix
5.0 out of 5 stars One of the most elegant works of science
Reviewed in Germany on 1 June 2016
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L&H
3.0 out of 5 stars Only for the initiated
Reviewed in the United Kingdom on 29 June 2013
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Cliente Amazon
5.0 out of 5 stars pretty good
Reviewed in Italy on 19 December 2016
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Ingo Busch
5.0 out of 5 stars Der Klassiker
Reviewed in Germany on 9 July 2014
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vuitre_viejo
5.0 out of 5 stars Well, maybe I dont "love" it...
Reviewed in the United States on 21 October 2017
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A. F. Champernowne
5.0 out of 5 stars A neglected classic.
Reviewed in the United States on 13 October 2017
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Shikantaza
5.0 out of 5 stars The foundation of information theory, but...
Reviewed in the United States on 7 November 2017
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Emre Sevinç
5.0 out of 5 stars If you want to learn about entropy in terms of information theory then this is *THE* book
Reviewed in the United States on 23 November 2009
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S10Man
5.0 out of 5 stars It's hard going for a general reader, but if ...
Reviewed in the United States on 5 February 2017
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T. Bond
4.0 out of 5 stars Four Stars
Reviewed in the United States on 11 April 2018
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Thomas E. Hankinson
5.0 out of 5 stars A classic
Reviewed in the United States on 19 February 2013
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dr foulk
5.0 out of 5 stars great book
Reviewed in the United States on 30 July 2019
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Axel K. Kloth
5.0 out of 5 stars On top of that it is very well written and about as easy to understand as anything this fundamental and important can ...
Reviewed in the United States on 6 July 2015
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