The Mathematical Theory Of Communication
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The Mathematical Theory Of Communication
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Author : Claude E Shannon
language : en
Publisher: University of Illinois Press
Release Date : 1949
The Mathematical Theory Of Communication written by Claude E Shannon and has been published by University of Illinois Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1949 with Computers categories.
Shannon's major precept, that all communication is essentially digital, is commonplace among the digitalia that many wonder why Shannon needed to state such an obvious axiom.
The Mathematical Theory Of Communication
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Author : Claude E Shannon
language : en
Publisher:
Release Date : 1949
The Mathematical Theory Of Communication written by Claude E Shannon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1949 with Computers categories.
Shannon's major precept, that all communication is essentially digital, is commonplace among the digitalia that many wonder why Shannon needed to state such an obvious axiom.
The Mathematical Theory Of Communication
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Author : Claude Elwood Shannon
language : en
Publisher:
Release Date : 1962
The Mathematical Theory Of Communication written by Claude Elwood Shannon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962 with Information theory categories.
The Mathematical Theory Of Communication
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Author : Claude Elwood Shannon
language : en
Publisher:
Release Date : 1962
The Mathematical Theory Of Communication written by Claude Elwood Shannon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962 with Information theory categories.
The Mathematical Theory Of Communication
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Author : Claude Elwood Shannon
language : en
Publisher:
Release Date : 1962
The Mathematical Theory Of Communication written by Claude Elwood Shannon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962 with Information theory categories.
The Mathematical Theory Of Communication
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Author : Claude Elwood Shannon
language : en
Publisher:
Release Date : 1949
The Mathematical Theory Of Communication written by Claude Elwood Shannon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1949 with categories.
The Mathematical Theory Of Information
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Author : Jan Kåhre
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-06-30
The Mathematical Theory Of Information written by Jan Kåhre and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-06-30 with Technology & Engineering categories.
The general concept of information is here, for the first time, defined mathematically by adding one single axiom to the probability theory. This Mathematical Theory of Information is explored in fourteen chapters: 1. Information can be measured in different units, in anything from bits to dollars. We will here argue that any measure is acceptable if it does not violate the Law of Diminishing Information. This law is supported by two independent arguments: one derived from the Bar-Hillel ideal receiver, the other is based on Shannon's noisy channel. The entropy in the 'classical information theory' is one of the measures conforming to the Law of Diminishing Information, but it has, however, properties such as being symmetric, which makes it unsuitable for some applications. The measure reliability is found to be a universal information measure. 2. For discrete and finite signals, the Law of Diminishing Information is defined mathematically, using probability theory and matrix algebra. 3. The Law of Diminishing Information is used as an axiom to derive essential properties of information. Byron's law: there is more information in a lie than in gibberish. Preservation: no information is lost in a reversible channel. Etc. The Mathematical Theory of Information supports colligation, i. e. the property to bind facts together making 'two plus two greater than four'. Colligation is a must when the information carries knowledge, or is a base for decisions. In such cases, reliability is always a useful information measure. Entropy does not allow colligation.
The Mathematical Theory Of Communication
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Author : Claude Elwood Shannon
language : en
Publisher:
Release Date : 1969
The Mathematical Theory Of Communication written by Claude Elwood Shannon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with categories.
Information Theory
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Author : JV Stone
language : en
Publisher: Sebtel Press
Release Date : 2015-01-01
Information Theory written by JV Stone and has been published by Sebtel Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-01 with Business & Economics categories.
Originally developed by Claude Shannon in the 1940s, information theory laid the foundations for the digital revolution, and is now an essential tool in telecommunications, genetics, linguistics, brain sciences, and deep space communication. In this richly illustrated book, accessible examples are used to introduce information theory in terms of everyday games like ‘20 questions’ before more advanced topics are explored. Online MatLab and Python computer programs provide hands-on experience of information theory in action, and PowerPoint slides give support for teaching. Written in an informal style, with a comprehensive glossary and tutorial appendices, this text is an ideal primer for novices who wish to learn the essential principles and applications of information theory.
Entropy And Information Theory
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Author : Robert M. Gray
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Entropy And Information Theory written by Robert M. Gray and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.
This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems. Examples are entropy, mutual information, conditional entropy, conditional information, and discrimination or relative entropy, along with the limiting normalized versions of these quantities such as entropy rate and information rate. Much of the book is concerned with their properties, especially the long term asymptotic behavior of sample information and expected information. This is the only up-to-date treatment of traditional information theory emphasizing ergodic theory.