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An introduction to the theories of information and codes. The authors exploit the connection to give a self-contained treatment relating the probabilistic and algebraic viewpoints. A background in discrete probability theory is required; the necessary Galois theory is developed as needed. This book is an introduction, for mathematics students, to the theories of information and codes. They are usually treated separately but, as both address the problem of communication through noisy channels (albeit from different directions), the authors have been able to exploit the connection to give a reasonably self-contained treatment, relating the probabilistic and algebraic viewpoints. The style is discursive and, as befits the subject, plenty of examples and exercises are provided. Some examples and exercises are provided. Some examples of computer codes are given to provide concrete illustrations of abstract ideas.
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