Fundamental Data Compression

By

  • Ida Pu, Department of Computing, Goldsmiths College, University of London, UK

Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers. A huge, active research field, and a part of many people's everyday lives, compression technology is an essential part of today's Computer Science and Electronic Engineering courses. With the help of this book, students can gain a thorough understanding of the underlying theory and algorithms, as well as specific techniques used in a range of scenarios, including the application of compression techniques to text, still images, video and audio. Practical exercises, projects and exam questions reinforce learning, along with suggestions for further reading.
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Audience

Advanced undergraduate students studying data compression as part of a computer science degree, as well as web design, information systems and mathematics students. Postgraduate students and professionals needing an accessible introductory data compression text.

 

Book information

  • Published: November 2005
  • Imprint: BUTTERWORTH HEINEMANN
  • ISBN: 978-0-7506-6310-6


Table of Contents

Preface; Acknowledgements; Introduction; Coding symbolic data; Run-length algorithms; Human coding; Adaptive Human coding; Arithmetic coding; Dictionary based compression; Prediction and transforms; Audio compression; Image Compression; Video compression; Appnedix A: Matrices; Appendix B: Fourier Series and harmonic analysis; Appendix C: Brief History; Appendix D: Pseudocode notation; Index