Information Theory

Information Theory Author JV Stone
ISBN-10 9780956372857
Year 2015
Pages 260
Language en
Publisher Sebtel Press
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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.

Information Theory

Information Theory Author James V.. Stone
ISBN-10 0956372856
Year 2015
Pages 243
Language en
Publisher Tutorial Introductions
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Originally developed by Claude Shannon in the 1940s, the theory of information laid the foundations for the digital revolution, and is now an essential tool in deep space communication, genetics, linguistics, data compression, and brain sciences. In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.

Bayes Rule

Bayes  Rule Author James V. Stone
ISBN-10 9780956372840
Year 2013-06-01
Pages 170
Language en
Publisher Sebtel Press
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In this richly illustrated book, a range of accessible examples are used to show how Bayes' rule is actually a natural consequence of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for the novice who wishes to become familiar with the basic principles of Bayesian analysis.

Independent Component Analysis

Independent Component Analysis Author James V. Stone
ISBN-10 0262693151
Year 2004
Pages 193
Language en
Publisher MIT Press
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A tutorial-style introduction to a class of methods for extracting independent signals from a mixture of signals originating from different physical sources; includes MatLab computer code examples.

Information Theory and Statistics

Information Theory and Statistics Author Imre Csiszár
ISBN-10 1933019050
Year 2004
Pages 115
Language en
Publisher Now Publishers Inc
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Information Theory and Statistics: A Tutorial is concerned with applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background. Also, an introduction is provided to the theory of universal coding, and to statistical inference via the minimum description length principle motivated by that theory. The tutorial does not assume the reader has an in-depth knowledge of Information Theory or statistics. As such, Information Theory and Statistics: A Tutorial, is an excellent introductory text to this highly-important topic in mathematics, computer science and electrical engineering. It provides both students and researchers with an invaluable resource to quickly get up to speed in the field.

Bayes Rule with Python

Bayes  Rule with Python Author Dr. James V. Stone
ISBN-10 0993367933
Year 2016-10-15
Pages 188
Language en
Publisher
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Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of common sense reasoning. Bayes' rule is then derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to become familiar with the basic principles of Bayesian analysis. Note that this book includes Python (3.0) code snippets, which reproduce key numerical results and diagrams.

A First Course in Information Theory

A First Course in Information Theory Author Raymond W. Yeung
ISBN-10 0306467917
Year 2002
Pages 412
Language en
Publisher Springer Science & Business Media
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This book provides an up-to-date introduction to information theory. It provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory.

A Short Course in Quantum Information Theory

A Short Course in Quantum Information Theory Author Lajos Diosi
ISBN-10 9783642161162
Year 2011-06-03
Pages 161
Language en
Publisher Springer Science & Business Media
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A Short Course in Quantum Information Theory strips down the field of quantum information science to its fundamentals by linking to universal concepts in physics. The text serves as an extensive lecture rather than a comprehensive textbook, and is based on courses delivered over several years.

Quantum Biological Information Theory

Quantum Biological Information Theory Author Ivan B. Djordjevic
ISBN-10 9783319228167
Year 2015-10-05
Pages 269
Language en
Publisher Springer
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This book is a self-contained, tutorial-based introduction to quantum information theory and quantum biology. It serves as a single-source reference to the topic for researchers in bioengineering, communications engineering, electrical engineering, applied mathematics, biology, computer science, and physics. The book provides all the essential principles of the quantum biological information theory required to describe the quantum information transfer from DNA to proteins, the sources of genetic noise and genetic errors as well as their effects. Integrates quantum information and quantum biology concepts; Assumes only knowledge of basic concepts of vector algebra at undergraduate level; Provides a thorough introduction to basic concepts of quantum information processing, quantum information theory, and quantum biology; Includes in-depth discussion of the quantum biological channel modelling, quantum biological channel capacity calculation, quantum models of aging, quantum models of evolution, quantum models on tumor and cancer development, quantum modeling of bird navigation compass, quantum aspects of photosynthesis, quantum biological error correction.

Quantum Information Theory

Quantum Information Theory Author Mark M. Wilde
ISBN-10 9781107034259
Year 2013-04-18
Pages 669
Language en
Publisher Cambridge University Press
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A self-contained, graduate-level textbook that develops from scratch classical results as well as advances of the past decade.

Information Theory and Network Coding

Information Theory and Network Coding Author Raymond W. Yeung
ISBN-10 9780387792330
Year 2008-09-10
Pages 580
Language en
Publisher Springer Science & Business Media
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This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research ?eld of its own in information science. With its root in infor- tion theory, network coding has not only brought about a paradigm shift in network communications at large, but also had signi?cant in?uence on such speci?c research ?elds as coding theory, networking, switching, wireless c- munications,distributeddatastorage,cryptography,andoptimizationtheory. While new applications of network coding keep emerging, the fundamental - sults that lay the foundation of the subject are more or less mature. One of the main goals of this book therefore is to present these results in a unifying and coherent manner. While the previous book focused only on information theory for discrete random variables, the current book contains two new chapters on information theory for continuous random variables, namely the chapter on di?erential entropy and the chapter on continuous-valued channels. With these topics included, the book becomes more comprehensive and is more suitable to be used as a textbook for a course in an electrical engineering department.

A Student s Guide to Coding and Information Theory

A Student s Guide to Coding and Information Theory Author Stefan M. Moser
ISBN-10 9781107601963
Year 2012-01-26
Pages 206
Language en
Publisher Cambridge University Press
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A concise, easy-to-read guide, introducing beginners to the engineering background of modern communication systems, from mobile phones to data storage. Assuming only basic knowledge of high-school mathematics and including many practical examples and exercises to aid understanding, this is ideal for anyone who needs a quick introduction to the subject.

Information Theory and Statistics

Information Theory and Statistics Author Solomon Kullback
ISBN-10 0486696847
Year 1997-07-07
Pages 399
Language en
Publisher Courier Corporation
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Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition.