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Information Theory

Author: JV Stone
Publisher: Sebtel Press
ISBN: 0956372856
Size: 45.90 MB
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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.

Principles Of Neural Information Theory

Author: James V Stone
Publisher:
ISBN: 9780993367922
Size: 20.35 MB
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In this richly illustrated book, it is shown how Shannon's mathematical theory of information defines absolute limits on neural efficiency; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style this is an ideal introduction to cutting-edge research in neural information theory.

Classical And Quantum Information Theory

Author: Emmanuel Desurvire
Publisher: Cambridge University Press
ISBN: 0521881714
Size: 39.21 MB
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This complete overview of classical and quantum information theory employs an informal yet accurate approach, for students, researchers and practitioners.

Information Theory And Statistics

Author: Imre Csiszár
Publisher: Now Publishers Inc
ISBN: 9781933019055
Size: 52.55 MB
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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.

A Short Course In Quantum Information Theory

Author: Lajos Diosi
Publisher: Springer
ISBN: 3642161170
Size: 47.75 MB
Format: PDF
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This short and concise primer takes the vantage point of theoretical physics and the unity of physics. It sets out to strip the burgeoning field of quantum information science to its basics by linking it to universal concepts in physics. An extensive lecture rather than a comprehensive textbook, this volume is based on courses delivered over several years to advanced undergraduate and beginning graduate students, but essentially it addresses anyone with a working knowledge of basic quantum physics. Readers will find these lectures a most adequate entry point for theoretical studies in this field. For the second edition, the authors has succeeded in adding many new topics while sticking to the conciseness of the overall approach. A new chapter on qubit thermodynamics has been added, while new sections and subsections have been incorporated in various chapter to deal with weak and time-continuous measurements, period-finding quantum algorithms and quantum error corrections. From the reviews of the first edition: "The best things about this book are its brevity and clarity. In around 100 pages it provides a tutorial introduction to quantum information theory, including problems and solutions. ... it’s worth a look if you want to quickly get up to speed with the language and central concepts of quantum information theory, including the background classical information theory." (Craig Savage, Australian Physics, Vol. 44 (2), 2007)

A Tutorial Introduction To Vhdl Programming

Author: Orhan Gazi
Publisher: Springer
ISBN: 9811323097
Size: 30.47 MB
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This book helps readers create good VHDL descriptions and simulate VHDL designs. It teaches VHDL using selected sample problems, which are solved step by step and with precise explanations, so that readers get a clear idea of what a good VHDL code should look like. The book is divided into eight chapters, covering aspects ranging from the very basics of VHDL syntax and the module concept, to VHDL logic circuit implementations. In the first chapter, the entity and architecture parts of a VHDL program are explained in detail. The second chapter explains the implementations of combinational logic circuits in VHDL language, while the following chapters offer information on the simulation of VHDL programs and demonstrate how to define data types other than the standard ones available in VHDL libraries. In turn, the fifth chapter explains the implementation of clocked sequential logic circuits, and the sixth shows the implementation of registers and counter packages. The book’s last two chapters detail how components, functions and procedures, as well as floating-point numbers, are implemented in VHDL. The book offers extensive exercises at the end of each chapter, inviting readers to learn VHDL by doing it and writing good code.

Bayes Rule

Author: James V. Stone
Publisher: Sebtel Press
ISBN: 0956372848
Size: 76.31 MB
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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.

Elements Of Information Theory

Author: T. M. Cover
Publisher: Wiley-Interscience
ISBN:
Size: 47.22 MB
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Synchronization in Digital Communications Volume I Phase-, Frequency-Locked Loops, and Amplitude Control Heinrich Meyr and Gerd Ascheid Volume I provides in-depth coverage of the synchronization function and related topics of digital communications systems. The objective of the book is to develop a theoretical framework for synchronization that will enable the reader to derive practical solutions to synchronization problems in the diverse areas of digital communications. It covers the fundamentals of phase, frequency, and amplitude control. An understanding of these functions is necessary to comprehend any synchronization system. 1990 (0 471-50193-X) 510 pp.