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Author: Richard Wesley Hamming
Publisher: Prentice Hall
Published: 1986
Total Pages: 280
ISBN-13:
DOWNLOAD EBOOK →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: Steven Roman
Publisher: Springer Science & Business Media
Published: 1992-06-04
Total Pages: 520
ISBN-13: 9780387978123
DOWNLOAD EBOOK →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: Gareth A. Jones
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 217
ISBN-13: 1447103610
DOWNLOAD EBOOK →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: Steven Roman
Publisher: Springer Science & Business Media
Published: 1996-11-26
Total Pages: 344
ISBN-13: 9780387947044
DOWNLOAD EBOOK →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: Stefan M. Moser
Publisher: Cambridge University Press
Published: 2012-01-26
Total Pages: 207
ISBN-13: 1107015839
DOWNLOAD EBOOK →This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.
Author: Dr. J. S. Chitode
Publisher: Technical Publications
Published: 2021-01-01
Total Pages: 534
ISBN-13: 9333223975
DOWNLOAD EBOOK →Various measures of information are discussed in first chapter. Information rate, entropy and mark off models are presented. Second and third chapter deals with source coding. Shannon's encoding algorithm, discrete communication channels, mutual information, Shannon's first theorem are also presented. Huffman coding and Shannon-Fano coding is also discussed. Continuous channels are discussed in fourth chapter. Channel coding theorem and channel capacity theorems are also presented. Block codes are discussed in chapter fifth, sixth and seventh. Linear block codes, Hamming codes, syndrome decoding is presented in detail. Structure and properties of cyclic codes, encoding and syndrome decoding for cyclic codes is also discussed. Additional cyclic codes such as RS codes, Golay codes, burst error correction is also discussed. Last chapter presents convolutional codes. Time domain, transform domain approach, code tree, code trellis, state diagram, Viterbi decoding is discussed in detail.
Author: Roberto Togneri
Publisher: CRC Press
Published: 2003-01-13
Total Pages: 385
ISBN-13: 0203998103
DOWNLOAD EBOOK →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: Mark Kelbert
Publisher: Cambridge University Press
Published: 2013-09-12
Total Pages:
ISBN-13: 1107292174
DOWNLOAD EBOOK →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: Raymond W. Yeung
Publisher: Springer Science & Business Media
Published: 2008-09-10
Total Pages: 592
ISBN-13: 0387792333
DOWNLOAD EBOOK →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: Norman Abramson
Publisher: New York, N.Y. : McGraw-Hill
Published: 1963
Total Pages: 230
ISBN-13:
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