- Series: Undergraduate Texts in Mathematics
- Hardcover: 326 pages
- Publisher: Springer; 1997 edition (November 26, 1996)
- Language: English
- ISBN-10: 0387947043
- ISBN-13: 978-0387947044
- Product Dimensions: 7 x 0.9 x 10 inches
- Shipping Weight: 1.8 pounds (View shipping rates and policies)
- Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
- Amazon Best Sellers Rank: #1,341,039 in Books (See Top 100 in Books)
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Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics) 1997th Edition
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From the Back Cover
This book is an introduction to coding and information theory, with an emphasis on coding theory. It is suitable for undergraduates with a modest mathematical background. While some previous knowledge of elementary linear algebra is helpful, it is not essential. All of the needed elementary discrete probability is developed in a preliminary chapter. After a preliminary chapter, there follows an introductory chapter on variable-length codes that culminates in Kraft's Theorem. Two chapters on Information Theory follow - the first on Huffman encoding and the second on the concept of the entropy of an information source, culminating in a discussion of Shannon's Noiseless Coding Theorem. The remaining four chapters cover the theory of error-correcting block codes. The first chapter covers communication channels, decision rules, nearest neighbor decoding, perfect codes, the main coding theory problem, the sphere-packing, Singleton and Plotkin bounds, and a brief discussion of the Noisy Coding Theorem. There follows a chapter on linear codes that begins with a discussion of vector spaces over the field (actual symbol not reproducible). The penultimate chapter is devoted to a study of the Hamming, Golay, and Reed-Muller families of codes, along with some decimal codes and some codes obtained from Latin squares. The final chapter contains a brief introduction to cyclic codes.
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