Author: Stefan M. MoserPublisher: Cambridge University Press
ISBN: 1107601967
Category : Computers
Languages : en
Pages : 207
Book Description
This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.
A Student's Guide to Coding and Information Theory
Author: Stefan M. MoserPublisher: Cambridge University Press
ISBN: 1107015839
Category : Computers
Languages : en
Pages : 207
Book Description
This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.
A Student's Guide to Coding and Information Theory
Author: Stefan M. MoserPublisher: Cambridge University Press
ISBN: 1107601967
Category : Computers
Languages : en
Pages : 207
Book Description
This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.
A First Course in Information Theory
Author: Raymond W. YeungPublisher: Springer Science & Business Media
ISBN: 1441986081
Category : Technology & Engineering
Languages : en
Pages : 426
Book Description
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
Author: Imre CsiszárPublisher: Elsevier
ISBN: 1483281574
Category : Mathematics
Languages : en
Pages : 460
Book Description
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.
Coding and Information Theory
Author: Steven RomanPublisher: Springer Science & Business Media
ISBN: 9780387978123
Category : Mathematics
Languages : en
Pages : 520
Book Description
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.
Introduction to Coding and Information Theory
Author: Steven RomanPublisher: Springer Science & Business Media
ISBN: 9780387947044
Category : Computers
Languages : en
Pages : 344
Book Description
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.
Selected Topics in Information and Coding Theory
Author: The Theory of Information and Coding
Author: R. J. McEliecePublisher: Cambridge University Press
ISBN: 9780521831857
Category : Computers
Languages : en
Pages : 414
Book Description
Student edition of the classic text in information and coding theory
Information and Coding Theory
Author: Gareth A. JonesPublisher: Springer Science & Business Media
ISBN: 1447103610
Category : Technology & Engineering
Languages : en
Pages : 217
Book Description
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.
Coding and Information Theory
Author: Richard Wesley HammingPublisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 280
Book Description
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).