Introduction to Information Theory and Data Compression

List of contents

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.

About the author

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

Summary

Presents the fundamentals of information theory and data compression. This book discusses the historical and theoretical basis of information theory. It also covers algorithm(s) of Gallager and Knuth. It discusses the information rate of a code and the trade-off between error correction and information rate.

Product details

• Authors: D C Hankerson, D.C. Hankerson, Greg A Harris, Harris Greg A., Jr Johnson, Peter D Johnson Jr, Peter D. Johnson Jr.
• Publisher: Taylor and Francis
• Languages: English
• Product format: Hardback
• Released: 26.02.2003
• EAN: 9781584883135
• ISBN: 978-1-58488-313-5
• No. of pages: 378
• Dimensions: 152 mm x 229 mm x 23 mm
• Weight: 680 g
• Illustrations: schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
• Series: Applied Mathematics
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Operating systems, user interfaces; COMPUTERS / Information Theory, COMPUTERS / Networking / General, Information theory, Databases, Computer networking & communications, COMPUTERS / Database Administration & Management, Computer networking and communications, Databases / Data management