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: | 9780387947044 |
| Publication date: | 26th November 1996 |
| Author: | Steven Roman |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Hardback |
| Pagination: | 323 pages |
| Series: | Undergraduate Texts in Mathematics |
| Genres: |
Coding theory and cryptology Information theory |
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.
Introduction to Coding and Information Theory features in the following genres: Coding theory and cryptology, Information theory
Hardback. Not Available.
Introduction to Coding and Information Theory was written by Steven Roman and published by Springer an imprint of Springer New York
Introduction to Coding and Information Theory has 323 pages
Yes it is part of Undergraduate Texts in Mathematics series