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Author | : Steven Roman |
Publisher | : Springer Science & Business Media |
Total Pages | : 344 |
Release | : 1996-11-26 |
Genre | : Computers |
ISBN | : 9780387947044 |
Download Introduction to Coding and Information Theory Book in PDF, ePub and Kindle
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 | : R. J. McEliece |
Publisher | : Cambridge University Press |
Total Pages | : 414 |
Release | : 2004-07-15 |
Genre | : Computers |
ISBN | : 9780521831857 |
Download The Theory of Information and Coding Book in PDF, ePub and Kindle
Student edition of the classic text in information and coding theory
Author | : Te Sun Han |
Publisher | : American Mathematical Soc. |
Total Pages | : 306 |
Release | : 2002 |
Genre | : Computers |
ISBN | : 9780821842560 |
Download Mathematics of Information and Coding Book in PDF, ePub and Kindle
This book is intended to provide engineering and/or statistics students, communications engineers, and mathematicians with the firm theoretic basis of source coding (or data compression) in information theory. Although information theory consists of two main areas, source coding and channel coding, the authors choose here to focus only on source coding. The reason is that, in a sense, it is more basic than channel coding, and also because of recent achievements in source coding and compression. An important feature of the book is that whenever possible, the authors describe universal coding methods, i.e., the methods that can be used without prior knowledge of the statistical properties of the data. The authors approach the subject of source coding from the very basics to the top frontiers in an intuitively transparent, but mathematically sound, manner. The book serves as a theoretical reference for communication professionals and statisticians specializing in information theory. It will also serve as an excellent introductory text for advanced-level and graduate students taking elementary or advanced courses in telecommunications, electrical engineering, statistics, mathematics, and computer science.
Author | : Gareth A. Jones |
Publisher | : Springer Science & Business Media |
Total Pages | : 217 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1447103610 |
Download Information and Coding Theory Book in PDF, ePub and Kindle
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 |
Publisher | : CRC Press |
Total Pages | : 385 |
Release | : 2003-01-13 |
Genre | : Computers |
ISBN | : 0203998103 |
Download Fundamentals of Information Theory and Coding Design Book in PDF, ePub and Kindle
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 | : Steven Roman |
Publisher | : Springer Science & Business Media |
Total Pages | : 520 |
Release | : 1992-06-04 |
Genre | : Mathematics |
ISBN | : 9780387978123 |
Download Coding and Information Theory Book in PDF, ePub and Kindle
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 | : Mario Blaum |
Publisher | : Springer Science & Business Media |
Total Pages | : 380 |
Release | : 2013-03-09 |
Genre | : Technology & Engineering |
ISBN | : 1475735855 |
Download Information, Coding and Mathematics Book in PDF, ePub and Kindle
Information, Coding and Mathematics is a classic reference for both professional and academic researchers working in error-correction coding and decoding, Shannon theory, cryptography, digital communications, information security, and electronic engineering. The work represents a collection of contributions from leading experts in turbo coding, cryptography and sequences, Shannon theory and coding bounds, and decoding theory and applications. All of the contributors have individually and collectively dedicated their work as a tribute to the outstanding work of Robert J. McEliece. Information, Coding and Mathematics covers the latest advances in the widely used and rapidly developing field of information and communication technology.
Author | : Fazlollah M. Reza |
Publisher | : |
Total Pages | : 532 |
Release | : 1961 |
Genre | : Information theory |
ISBN | : |
Download An Introduction to Information Theory Book in PDF, ePub and Kindle
Author | : Robert J. McEliece |
Publisher | : Westview Press |
Total Pages | : 328 |
Release | : 1977 |
Genre | : Computers |
ISBN | : |
Download The Theory of Information and Coding Book in PDF, ePub and Kindle
This is a self-contained introduction to the theory of information and coding. It can be used either for self-study or as the basis for a course at either the graduate or ,undergraduate level. The text includes dozens of worked examples and several hundred problems for solution.
Author | : Aleksandr I?Akovlevich Khinchin |
Publisher | : Courier Corporation |
Total Pages | : 130 |
Release | : 1957-01-01 |
Genre | : Mathematics |
ISBN | : 0486604349 |
Download Mathematical Foundations of Information Theory Book in PDF, ePub and Kindle
First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.