Introduction to Coding and Information Theory
Format: Hardcover
ISBN13: 9780387947044
Hardcover|9780387947044
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Overview
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.
| ISBN-13 | 9780387947044 |
|---|---|
| ISBN-10 | 0387947043 |
| Weight | 4.23 Pounds |
| Dimensions | 7.00 x 0.81 x 10.00 In |
| List Price | $84.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | xiv, 326 pages |
| Publisher | Springer |
| Published On | 1996-11-26 |
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