Items related to Coding and Information Theory (Graduate Texts in Mathematics...
Synopsis
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.
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- PublisherSpringer
- Publication date1992
- ISBN 10 0387978127
- ISBN 13 9780387978123
- BindingHardcover
- LanguageEnglish
- Number of pages506
- Rating
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Coding and Information Theory 1992
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Coding and Information Theory
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Coding and Information Theory (Graduate Texts in Mathematics) (Volume 134)
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Coding and Information Theory
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Springer-Verlag New York Inc., 1992
ISBN 10: 0387978127
ISBN 13: 9780387978123
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Coding and Information Theory
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Springer-Verlag, New York, 1992
ISBN 10: 0387978127
ISBN 13: 9780387978123
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Coding and Information Theory
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Coding and Information Theory
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Coding and Information Theory.
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ISBN 10: 0387978127
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Condition: Gut. Formateinband: Pappband / gebundene Ausgabe 506 S. 1st Edition; Gut und sauber erhalten, wohl ungelesen. Sprache: Englisch Gewicht in Gramm: 990 [Stichwörter: Codierung, Informationstheorie; Entropy, Noiseless Coding, Noisy Coding, General Remarks on Codes, Linear Codes, Finite Fields and Cyclic Codes, Preliminaries]. Seller Inventory # 73254
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Coding and Information Theory (Graduate Texts in Mathematics, 134, Band 134) Steven Roman
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