Peter D. Johnson Jr., Greg A. Harris, D. C. Hankerson

Introduction to Information Theory and Data Compression (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 384
• Erscheinungstermin: 26. Februar 2003
• Englisch
• ISBN-13: 9781420035278
• Artikelnr.: 42765827

Autorenporträt

Johnson, Jr.; Harris, Greg A.; Hankerson, D.C.

Inhaltsangabe

INFORMATION THEORY: Elementary Probability. Information and Entropy.
Channels and Channel Capacity. Coding Theory. DATA COMPRESSION: Lossless
Data Compression by Replacement Schemes. Arithmetic Coding. Higher-Order
Modeling. Adaptive Methods. Dictionary Methods. Transform Methods and Image
Compression. Appendices. Bibliography. Index.