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## Information Theory

DIVAnalysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Sixty problems, with solutions. Advanced undergraduate to graduate level. /div
## Science and Information Theory

Geared toward upper-level undergraduates and graduate students, this classic resource by a giant of 20th-century mathematics applies principles of information theory to Maxwell's demon, thermodynamics, and measurement problems. 1962 edition.
## Information Theory & Coding

## Information Theory

This introductory treatment offers students of electrical engineering or applied mathematics a clear presentation of the principles of information theory. Topics include information theory of discrete systems, properties of continuous signals, ergodic ensembles, entropy of continuous distributions, aspects of modulation and noise reduction, and other subjects. Numerous problems, many with complete solutions. 1953 edition.
## Elements of Information Theory

The latest edition of this classic is updated with new problem setsand material The Second Edition of this fundamental textbook maintains thebook's tradition of clear, thought-provoking instruction. Readersare provided once again with an instructive mix of mathematics,physics, statistics, and information theory. All the essential topics in information theory are covered indetail, including entropy, data compression, channel capacity, ratedistortion, network information theory, and hypothesis testing. Theauthors provide readers with a solid understanding of theunderlying theory and applications. Problem sets and a telegraphicsummary at the end of each chapter further assist readers. Thehistorical notes that follow each chapter recap the mainpoints. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedbackcapacity * Updated references Now current and enhanced, the Second Edition of Elements ofInformation Theory remains the ideal textbook for upper-levelundergraduate and graduate courses in electrical engineering,statistics, and telecommunications. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.
## An Introduction to Information Theory

Graduate-level study for engineering students presents elements of modern probability theory, information theory, coding theory, more. Emphasis on sample space, random variables, capacity, etc. Many reference tables and extensive bibliography. 1961 edition.
## Entropy and Information Theory

This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties. New in this edition: Expanded treatment of stationary or sliding-block codes and their relations to traditional block codes Expanded discussion of results from ergodic theory relevant to information theory Expanded treatment of B-processes -- processes formed by stationary coding memoryless sources New material on trading off information and distortion, including the Marton inequality New material on the properties of optimal and asymptotically optimal source codes New material on the relationships of source coding and rate-constrained simulation or modeling of random processes Significant material not covered in other information theory texts includes stationary/sliding-block codes, a geometric view of information theory provided by process distance measures, and general Shannon coding theorems for asymptotic mean stationary sources, which may be neither ergodic nor stationary, and d-bar continuous channels.
## Information Theory and the Brain

This book deals with information theory, a new and expanding area of neuroscience which provides a framework for understanding neuronal processing.
## Information Theory, Inference and Learning Algorithms

Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.
## A First Course in Information Theory

This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, 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. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.
## Information Theory, Coding and Cryptography

## Information Theory

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

Csiszár and Körner's book is widely regarded as a classic in the field of information theory, providing deep insights and expert treatment of the key theoretical issues. It includes in-depth coverage of the mathematics of reliable information transmission, both in two-terminal and multi-terminal network scenarios. Updated and considerably expanded, this new edition presents unique discussions of information theoretic secrecy and of zero-error information theory, including the deep connections of the latter with extremal combinatorics. The presentations of all core subjects are self contained, even the advanced topics, which helps readers to understand the important connections between seemingly different problems. Finally, 320 end-of-chapter problems, together with helpful hints for solving them, allow readers to develop a full command of the mathematical techniques. It is an ideal resource for graduate students and researchers in electrical and electronic engineering, computer science and applied mathematics.
## Introduction to Coding and Information Theory

This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.
## An Introduction to Information Theory

Covers encoding and binary digits, entropy, language and meaning, efficient encoding and the noisy channel, and explores ways in which information theory relates to physics, cybernetics, psychology, and art. 1980 edition.
## Information Theory and Network Coding

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.
## Information Theory

Textbook on information theory, an important subject in electrical engineering and computer science.
## Mathematical Foundations of Information Theory

First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.
## Quantum Information Theory

Developing many of the major, exciting, pre- and post-millennium developments from the ground up, this book is an ideal entry point for graduate students into quantum information theory. Significant attention is given to quantum mechanics for quantum information theory, and careful studies of the important protocols of teleportation, superdense coding, and entanglement distribution are presented. In this new edition, readers can expect to find over 100 pages of new material, including detailed discussions of Bell's theorem, the CHSH game, Tsirelson's theorem, the axiomatic approach to quantum channels, the definition of the diamond norm and its interpretation, and a proof of the Choi–Kraus theorem. Discussion of the importance of the quantum dynamic capacity formula has been completely revised, and many new exercises and references have been added. This new edition will be welcomed by the upcoming generation of quantum information theorists and the already established community of classical information theorists.
## Information Theory

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Author: Robert B. Ash

Publisher: Courier Corporation

ISBN: 0486141454

Category: Technology & Engineering

Page: 352

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*A Tutorial Introduction*

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ISBN: 0956372856

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Author: Imre Csiszár,János Körner

Publisher: Cambridge University Press

ISBN: 113949998X

Category: Technology & Engineering

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Publisher: Springer Science & Business Media

ISBN: 9780387947044

Category: Computers

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Publisher: Courier Corporation

ISBN: 0486134970

Category: Computers

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Author: Jan C. A. Lubbe (van der.)

Publisher: Cambridge University Press

ISBN: 9780521467605

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Author: Aleksandr I?Akovlevich Khinchin

Publisher: Courier Corporation

ISBN: 0486604349

Category: Mathematics

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Author: Mark M. Wilde

Publisher: Cambridge University Press

ISBN: 1316813304

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