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Beschreibung
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.
Details
| Verlag | Springer US |
| Ersterscheinung | 26. November 1996 |
| Maße | 25.4 cm x 17.8 cm |
| Gewicht | 845 Gramm |
| Format | Hardcover |
| ISBN-13 | 9780387947044 |
| Seiten | 326 |
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