A Student's Guide to Coding and Information Theory

A Student's Guide to Coding and Information Theory
Author: Stefan M. Moser
Publisher:
Total Pages: 191
Release: 2012
Genre: Coding theory
ISBN: 9781139224772

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This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical applications in coding, including the repetition code, the Hamming code and the Huffman code. They then explain the corresponding information theory, from entropy and mutual information to channel capacity and the information transmission theorem. Finally, they provide insights into the connections between coding theory and other fields. Many worked examples are given throughout the book, using practical applications to illustrate theoretical definitions. Exercises are also included, enabling readers to double-check what they have learned and gain glimpses into more advanced topics, making this perfect for anyone who needs a quick introduction to the subject.

A Student's Guide to Coding and Information Theory

A Student's Guide to Coding and Information Theory
Author: Stefan M. Moser
Publisher: Cambridge University Press
Total Pages: 207
Release: 2012-01-26
Genre: Computers
ISBN: 1107015839

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

Introduction to Coding and Information Theory

Introduction to Coding and Information Theory
Author: Steven Roman
Publisher: Springer Science & Business Media
Total Pages: 344
Release: 1996-11-26
Genre: Computers
ISBN: 9780387947044

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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.

A First Course in Information Theory

A First Course in Information Theory
Author: Raymond W. Yeung
Publisher: Springer Science & Business Media
Total Pages: 426
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1441986081

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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

Information Theory
Author: Imre Csiszár
Publisher: Elsevier
Total Pages: 465
Release: 2014-07-10
Genre: Mathematics
ISBN: 1483281574

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Information Theory: Coding Theorems for Discrete Memoryless Systems presents mathematical models that involve independent random variables with finite range. This three-chapter text specifically describes the characteristic phenomena of information theory. Chapter 1 deals with information measures in simple coding problems, with emphasis on some formal properties of Shannon’s information and the non-block source coding. Chapter 2 describes the properties and practical aspects of the two-terminal systems. This chapter also examines the noisy channel coding problem, the computation of channel capacity, and the arbitrarily varying channels. Chapter 3 looks into the theory and practicality of multi-terminal systems. This book is intended primarily for graduate students and research workers in mathematics, electrical engineering, and computer science.

Fundamentals in Information Theory and Coding

Fundamentals in Information Theory and Coding
Author: Monica Borda
Publisher: Springer Science & Business Media
Total Pages: 504
Release: 2011-05-27
Genre: Technology & Engineering
ISBN: 3642203477

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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.

Coding and Information Theory

Coding and Information Theory
Author: Steven Roman
Publisher: Springer Science & Business Media
Total Pages: 520
Release: 1992-06-04
Genre: Mathematics
ISBN: 9780387978123

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This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book. After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra.

Coding and Information Theory

Coding and Information Theory
Author: Richard Wesley Hamming
Publisher: Prentice Hall
Total Pages: 280
Release: 1986
Genre: Computers
ISBN:

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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).

Information Theory and Coding by Example

Information Theory and Coding by Example
Author: Mark Kelbert
Publisher: Cambridge University Press
Total Pages: 527
Release: 2013-09-12
Genre: Computers
ISBN: 0521769353

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