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Overview
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.
- Format: Hardcover
- Author: Roman, Steven
- ISBN: 9780387947044
- Condition: Used
- Dimensions: 9.55 x 0.87
- Number Of Pages: 326
- Publication Year: 1996
Language:
English