Information and Coding Theory

by Gareth A. Jones

This book provides an elementary introduction to Information Theory and Coding Theory - two related aspects of the problem of how to transmit information efficiently and accurately. The first part of the book focuses on Information Theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon's Fundamental Theorem. In the second part, on Coding Theory, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes. The book emphasises carefully explained proofs and worked examples; exercises (with solutions) are integrated into the text as part of the learning process. Only some basic probability theory and linear algebra, together with a little calculus (as covered in most first-year university syllabuses), is assumed, making it suitable for second- and third-year undergraduates in mathematics, electronics and computer science.

224 pages, Paperback

First published June 26, 2000

Reviews

[Elliot · Rating 3 out of 5]

Notation at times was needlessly confusing, but a good comprehensive intro to Information Theory

[Sk Md Kaif · Rating 5 out of 5]

Explained in such an easy language that you will always wish to learn more!!