Synopsis
This text is an introduction to the subjects of information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and linear algebra, but is otherwise self-contained. The first quarter of the book is devoted to the basics of information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and has a decidedly algebraic flavour. After a brief discussion of general families of codes, the authors discuss linear codes, (including the Hamming, Golay, and Reed-Miller codes), finite fields and cyclic codes. An appendix reviews relevant topics from modern algebra.
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Coding and Information Theory (Graduate Texts in Mathematics)
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1992
ISBN 10: 3540978127
ISBN 13: 9783540978121
Used
Hardcover
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Condition: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy. Seller Inventory # GWV.3540978127.G