ENGLISH

Introduction to Coding and Information Theory

By Steven Roman

Book information

Publisher
Springer Science & Business Media
Year
1997
ISBN
0387947043, 9780387947044
Google Books ID
i1z3dor8U3EC
Language
english
Format
PDF
Filesize
16 MB (16931305 bytes)
Series
Undergraduate Texts in Mathematics
Pages
323\339
Time added
2024-04-25 21:39:35

Description

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.

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