Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics) 1997th Edition

3.5 out of 5 stars 3 ratings
ISBN-13: 978-0387947044
ISBN-10: 0387947043
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Editorial Reviews

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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Product details

  • Publisher ‏ : ‎ Springer; 1997th edition (November 26, 1996)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 340 pages
  • ISBN-10 ‏ : ‎ 0387947043
  • ISBN-13 ‏ : ‎ 978-0387947044
  • Item Weight ‏ : ‎ 4.23 pounds
  • Dimensions ‏ : ‎ 7 x 0.81 x 10 inches
  • Customer Reviews:
    3.5 out of 5 stars 3 ratings

Customer reviews

3.5 out of 5 stars
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Reviewed in the United States on June 18, 2001
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