Information Theory And Coding By Example

Author : Mark Kelbert,Yuri Suhov
Publisher : Cambridge University Press
Page : 128 pages
File Size : 45,6 Mb
Release : 2013-09-12
Category : Mathematics
ISBN : 9781107292178

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Information Theory and Coding by Example by Mark Kelbert,Yuri Suhov Pdf

This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for undergraduate and graduate students, or for researchers and engineers who want to grasp the basic principles.

Author : Mark Kelbert,Yu. M. Suhov
Publisher : Cambridge University Press
Page : 527 pages
File Size : 52,5 Mb
Release : 2013-09-12
Category : Computers
ISBN : 9780521769358

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Information Theory and Coding by Example by Mark Kelbert,Yu. M. Suhov Pdf

A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.

Author : Gareth A. Jones,J.Mary Jones
Publisher : Springer Science & Business Media
Page : 217 pages
File Size : 43,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447103615

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Information and Coding Theory by Gareth A. Jones,J.Mary Jones Pdf

This text is an elementary introduction to information and coding theory. The first part focuses on information theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon’s Fundamental Theorem. In the second part, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes. Contains proofs, worked examples, and exercises.

Author : Roberto Togneri,Christopher J.S deSilva
Publisher : CRC Press
Page : 385 pages
File Size : 42,5 Mb
Release : 2003-01-13
Category : Computers
ISBN : 9780203998106

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Fundamentals of Information Theory and Coding Design by Roberto Togneri,Christopher J.S deSilva Pdf

Books on information theory and coding have proliferated over the last few years, but few succeed in covering the fundamentals without losing students in mathematical abstraction. Even fewer build the essential theoretical framework when presenting algorithms and implementation details of modern coding systems. Without abandoning the theoret

Author : Richard Wesley Hamming
Publisher : Prentice Hall
Page : 280 pages
File Size : 41,5 Mb
Release : 1986
Category : Computers
ISBN : UOM:39015012442482

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Coding and Information Theory by Richard Wesley Hamming Pdf

Focusing on both theory and practical applications, this volume combines in a natural way the two major aspects of information representation--representation for storage (coding theory) and representation for transmission (information theory).

Author : Monica Borda
Publisher : Springer Science & Business Media
Page : 504 pages
File Size : 52,6 Mb
Release : 2011-05-27
Category : Technology & Engineering
ISBN : 9783642203473

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Fundamentals in Information Theory and Coding by Monica Borda Pdf

The work introduces the fundamentals concerning the measure of discrete information, the modeling of discrete sources without and with a memory, as well as of channels and coding. The understanding of the theoretical matter is supported by many examples. One particular emphasis is put on the explanation of Genomic Coding. Many examples throughout the book are chosen from this particular area and several parts of the book are devoted to this exciting implication of coding.

Author : David J. C. MacKay
Publisher : Cambridge University Press
Page : 694 pages
File Size : 43,7 Mb
Release : 2003-09-25
Category : Computers
ISBN : 0521642981

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Information Theory, Inference and Learning Algorithms by David J. C. MacKay Pdf

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Author : Jacob Wolfowitz
Publisher : Springer
Page : 133 pages
File Size : 53,8 Mb
Release : 2013-04-17
Category : Computers
ISBN : 9783662015100

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Coding Theorems of Information Theory by Jacob Wolfowitz Pdf

This monograph originated with a course of lectures on information theory which I gave at Cornell University during the academic year 1958-1959. It has no pretensions to exhaustiveness, and, indeed, no pretensions at all. Its purpose is to provide, for mathematicians of some maturity, an easy introduction to the ideas and principal known theorems of a certain body of coding theory. This purpose will be amply achieved if the reader is enabled, through his reading, to read the (sometimes obscurely written) literature and to obtain results of his own. The theory is ob viously in a rapid stage of development; even while this monograph was in manuscript several of its readers obtained important new results. The first chapter is introductory and the subject matter of the monograph is described at the end of the chapter. There does not seem to be a uniquely determined logical order in which the material should be arranged. In determining the final arrangement I tried to obtain an order which makes reading easy and yet is not illogical. I can only hope that the resultant compromises do not earn me the criticism that I failed on both counts. There are a very few instances in the monograph where a stated theorem is proved by a method which is based on a result proved only later.

Author : Norman Abramson
Publisher : New York, N.Y. : McGraw-Hill
Page : 232 pages
File Size : 53,5 Mb
Release : 1963
Category : Computers
ISBN : UOM:39015001313678

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Information Theory and Coding by Norman Abramson Pdf

Author : Stefan M. Moser,Po-Ning Chen
Publisher : Cambridge University Press
Page : 207 pages
File Size : 43,5 Mb
Release : 2012-01-26
Category : Computers
ISBN : 9781107015838

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A Student's Guide to Coding and Information Theory by Stefan M. Moser,Po-Ning Chen Pdf

This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.

Author : Steven Roman
Publisher : Springer Science & Business Media
Page : 344 pages
File Size : 49,5 Mb
Release : 1996-11-26
Category : Computers
ISBN : 0387947043

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Introduction to Coding and Information Theory by Steven Roman Pdf

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.

Author : Raymond W. Yeung
Publisher : Springer Science & Business Media
Page : 592 pages
File Size : 42,5 Mb
Release : 2008-08-28
Category : Computers
ISBN : 9780387792347

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Information Theory and Network Coding by Raymond W. Yeung Pdf

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.

Author : Te Sun Han
Publisher : Springer Science & Business Media
Page : 538 pages
File Size : 49,5 Mb
Release : 2013-04-18
Category : Mathematics
ISBN : 9783662120668

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Information-Spectrum Methods in Information Theory by Te Sun Han Pdf

From the reviews: "This book nicely complements the existing literature on information and coding theory by concentrating on arbitrary nonstationary and/or nonergodic sources and channels with arbitrarily large alphabets. Even with such generality the authors have managed to successfully reach a highly unconventional but very fertile exposition rendering new insights into many problems." -- MATHEMATICAL REVIEWS

Author : Thomas M. Cover,Joy A. Thomas
Publisher : John Wiley & Sons
Page : 788 pages
File Size : 52,9 Mb
Release : 2012-11-28
Category : Computers
ISBN : 9781118585771

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Elements of Information Theory by Thomas M. Cover,Joy A. Thomas Pdf

The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

Author : Fady Alajaji,Po-Ning Chen
Publisher : Springer
Page : 323 pages
File Size : 40,9 Mb
Release : 2018-04-24
Category : Mathematics
ISBN : 9789811080012

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An Introduction to Single-User Information Theory by Fady Alajaji,Po-Ning Chen Pdf

This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructor’s solutions manual is available.