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| Author | : Stefan M. Moser |
| Publisher | : Cambridge University Press |
| Total Pages | : 207 |
| Release | : 2012-01-26 |
| Genre | : Computers |
| ISBN | : 1107015839 |
This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.
| Author | : Stefan M. Moser |
| Publisher | : |
| Total Pages | : 191 |
| Release | : 2012 |
| Genre | : Coding theory |
| ISBN | : 9781139224772 |
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.
| Author | : Steven Roman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 344 |
| Release | : 1996-11-26 |
| Genre | : Computers |
| ISBN | : 9780387947044 |
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 | : Steven Roman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 520 |
| Release | : 1992-06-04 |
| Genre | : Mathematics |
| ISBN | : 9780387978123 |
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.
| Author | : Raymond W. Yeung |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 426 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1441986081 |
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.
| Author | : Imre Csiszár |
| Publisher | : Elsevier |
| Total Pages | : 465 |
| Release | : 2014-07-10 |
| Genre | : Mathematics |
| ISBN | : 1483281574 |
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.
| Author | : Wells |
| Publisher | : Pearson Education India |
| Total Pages | : 324 |
| Release | : |
| Genre | : |
| ISBN | : 9788131724163 |
| Author | : Raymond Hill |
| Publisher | : Oxford University Press |
| Total Pages | : 268 |
| Release | : 1986 |
| Genre | : Computers |
| ISBN | : 9780198538035 |
Algebraic coding theory is a new and rapidly developing subject, popular for its many practical applications and for its fascinatingly rich mathematical structure. This book provides an elementary yet rigorous introduction to the theory of error-correcting codes. Based on courses given by the author over several years to advanced undergraduates and first-year graduated students, this guide includes a large number of exercises, all with solutions, making the book highly suitable for individual study.
| Author | : JV Stone |
| Publisher | : Sebtel Press |
| Total Pages | : 243 |
| Release | : 2015-01-01 |
| Genre | : Business & Economics |
| ISBN | : 0956372856 |
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.
| Author | : Don S. Lemons |
| Publisher | : Cambridge University Press |
| Total Pages | : 195 |
| Release | : 2013-08-29 |
| Genre | : Science |
| ISBN | : 1107470048 |
Striving to explore the subject in as simple a manner as possible, this book helps readers understand the elusive concept of entropy. Innovative aspects of the book include the construction of statistical entropy from desired properties, the derivation of the entropy of classical systems from purely classical assumptions, and a statistical thermodynamics approach to the ideal Fermi and ideal Bose gases. Derivations are worked through step-by-step and important applications are highlighted in over 20 worked examples. Around 50 end-of-chapter exercises test readers' understanding. The book also features a glossary giving definitions for all essential terms, a time line showing important developments, and list of books for further study. It is an ideal supplement to undergraduate courses in physics, engineering, chemistry and mathematics.
