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Parallel Computing for Real-time Signal Processing and Control

  • Textbook
  • © 2003

Overview

  • The student will be able to use the section on web resources which collates a number of websites to gain further instruction and to obtain extra examples and case studies
  • Signal-processing/control students will learn to match a computer's abilities to the task required - a fundamental process in the optimal use of hardware and software. This is the only volume specifically designed for such instruction.
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advanced Textbooks in Control and Signal Processing (C&SP)

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Table of contents (8 chapters)

Keywords

About this book

Although the computing demands of real-time signal processing and control applications are increasing rapidly, parallel processors permit several instructions to be dealt with simultaneously so that the "real-time" needed is manageable. This book introduces the advantages of this strategy and details how to use parallel processing to deal with common signal processing and control algorithms. It emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures, while demonstrating how to identify processor capabilities and how to exploit them to the fullest. The text includes examples and end-of-chapter exercises to facilitate self- and group study and case studies to put theoretical concepts into a practical context. For advanced students in parallel computing, control and signal processing disciplines, it is an invaluable tool in learning to get the most from their computer systems.

Reviews

From the reviews:

"Written as a textbook, the book is much more than that-it is a comprehensive resource for those interested in parallel computing...Readers should not be misled by the relatively small size of the book-it is complete and well organized...Summing Up: Recommended."
(J. Beidler, Choice, September 2003)

Authors and Affiliations

  • Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK

    M. O. Tokhi

  • Division of Electronics and IT, School of Engineering, Sheffield Hallam University, Sheffield, UK

    M. A. Hossain

  • Department of Engineering, Queen Mary, University of London, London, UK

    M. H. Shaheed

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