Introduction to Information Theory and Data Compression
eBook - ePub

Introduction to Information Theory and Data Compression

  1. 384 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Introduction to Information Theory and Data Compression

About this book

An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no pr

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Yes, you can access Introduction to Information Theory and Data Compression by Peter D. Johnson Jr.,Greg A. Harris,D.C. Hankerson in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Discrete Mathematics and Its Applications
  4. Title Page
  5. Copyright Page
  6. Preface
  7. Table of Contents
  8. 1 Elementary Probability
  9. 2 Information and Entropy
  10. 3 Channels and Channel Capacity
  11. 4 Coding Theory
  12. 5 Lossless Data Compression by Replacement Schemes
  13. 6 Arithmetic Coding
  14. 7 Higher-orderModeling
  15. 8 Adaptive Methods
  16. 9 DictionaryMethods
  17. 10 Transform Methods and Image Compression
  18. A JPEGtool User’s Guide
  19. B SourceListingfor LZRW1-A
  20. C Resources, Patents, and Illusions
  21. D Noteson and Solutions to Some Exercises
  22. Bibliography
  23. Index