Digital Signal Compression: Principles and Practice
Author:   William A. Pearlman (Rensselaer Polytechnic Institute, New York) ,  Amir Said (Hewlett-Packard Laboratories, Palo Alto, California)
Publisher:   Cambridge University Press
ISBN:  

9780511984655


Publication Date:   05 June 2012
Format:   Undefined
Availability:   Available To Order   Availability explained
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Digital Signal Compression: Principles and Practice


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Author:   William A. Pearlman (Rensselaer Polytechnic Institute, New York) ,  Amir Said (Hewlett-Packard Laboratories, Palo Alto, California)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press (Virtual Publishing)
ISBN:  

9780511984655


ISBN 10:   0511984650
Publication Date:   05 June 2012
Audience:   Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

1. Motivation: the importance of compression; 2. Book overview; 3. Principles of lossless compression; 4. Entropy coding techniques; 5. Lossy compression of scalar sources; 6. Coding of sources with memory; 7. Mathematical transformations; 8. Rate control in transform coding systems; 9. Transform coding systems; 10. Set partition coding; 11. Subband/wavelet coding systems; 12. Methods for lossless compression of images; 13. Color and multi-component image and video coding; 14. Distributed source coding.

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Author Information

William A. Pearlman is a Professor in the Electrical, Computer and Systems Engineering Department at the Rensselaer Polytechnic Institute (RPI), where he has been a faculty member since 1979. He has more than 35 years of experience in teaching and researching in the fields of information theory, data compression, digital signal processing and digital communications theory. He is a Fellow of the IEEE and the SPIE, and is the co-inventor of two celebrated image compression algorithms: SPIHT and SPECK. Amir Said is currently a Master Researcher at Hewlett-Packard Laboratories, where he has worked since 1998. His research interests include multimedia communications, coding and information theory, image and video compression, signal processing and optimization, and he has more than 50 publications in these fields. He is co-inventor with Dr Pearlman of the SPIHT image compression algorithm and co-recipient, also with Dr Pearlman, of two Best Paper Awards, one from the IEEE Circuits and Systems Society and the other from the IEEE Signal Processing Society.

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