Coding and Information Theory
Seiten
1992
Springer Berlin (Hersteller)
978-3-540-97812-1 (ISBN)
Springer Berlin (Hersteller)
978-3-540-97812-1 (ISBN)
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This book is an introduction to the subjects of information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and linear algebra, but is otherwise self-contained. The first quarter of the book is devoted to the basics of information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and has a decidedly algebraic flavor. After a brief discussion of general families of codes, the authors discuss linear codes, (including the Hamming, Golay, and Reed-Miller codes), finite fields and cyclic codes. An appendix reviews relevant topics from modern algebra.
Steven Roman, Ph.D., is a professor emeritus of mathematics at the California State University, Fullerton. His previous books with O'Reilly include Access Database Design and Programming, Writing Excel Macros, and Win32 API Programming with Visual Basic.
1: Entropy.
2: Noisless Coding.
3: Noisy Coding.
4: General Remarks on Codes.
5: Linear Codes.
6: Some Linear Codes.
7: Finite Fields and Cyclic Codes.
8: Some Cyclic Codes.
| Reihe/Serie | Graduate Texts in Mathematics ; 134 |
|---|---|
| Zusatzinfo | 31 figs. |
| Sprache | deutsch |
| Gewicht | 884 g |
| Einbandart | gebunden |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| Schlagworte | Codierung • Codierung / Kodierung • HC/Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik • Informationsmanagement • Informationstheorie |
| ISBN-10 | 3-540-97812-7 / 3540978127 |
| ISBN-13 | 978-3-540-97812-1 / 9783540978121 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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