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Introduction to Coding and Information Theory, Hardback Book

Introduction to Coding and Information Theory Hardback

Part of the Undergraduate Texts in Mathematics series

Hardback

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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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