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Chaotic Signal Processing

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Chaotic Signal Processing

Chaotic Signal Processing

March 2014
Paperback
9781611973259
$85.99
USD
Paperback
    Description

    Chaotic processes are deterministic phenomena which display a random appearance. Many signal processes such as radar and sonar appear random, and chaos theory provides an alternative approach to processing these signals. This book presents a thorough guide to recent developments in chaotic signal processing. This includes the application of nonlinear dynamics to radar target recognition, an exactly solvable chaos approach for communications, a chaotic approach for reconfigurable computing, and system identification using chaos. It also investigates the design of a high resolution LADAR system based on chaos, and the use of chaos in compressive sensing. Suitable for researchers and graduate students in chaos, applied nonlinear dynamics, signal processing and radar communications.

    • Presents up-to-date research on chaotic signal processing
    • An authoritative guide, accessible to researchers and graduate students in a variety of fields
    • A diverse range of modern topics are covered

    Product details

    March 2014
    Paperback
    9781611973259
    185 pages
    254 × 178 × 9 mm
    0.35kg
    This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.

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    Contents

    Table of Contents

    • Preface
    • 1. An overview of chaotic signal processing Henry Leung
    • 2. Target recognition using nonlinear dynamics T. L. Carroll and F. J. Rachford
    • 3. Communicating with exactly solvable chaos Ned J. Corron, Jonathan N. Blakely and Shawn D. Pethel
    • 4. Logic from dynamics William L. Ditto, Abraham Miliotis, K. Murali and Sudeshna Sinha
    • 5. System identification using chaos Henry Leung and Ajeesh Kurian
    • 6. Characterization and optimization of a chaotic LADAR system for high resolution range determination Berenice Verdin and Benjamin C. Flores
    • 7. Reverse engineering of complex dynamical systems based on compressive sensing Ying-Cheng Lai
    • Index.
      • Show more
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    Additional Information
    About the authors
      Contributors

    • Henry Leung, T. L. Carroll, F. J. Rachford, Ned J. Corron, Jonathan N. Blakely, Shawn D. Pethel, William L. Ditto, Abraham Miliotis, K. Murali, Sudeshna Sinha, Ajeesh Kurian, Berenice Verdin, Benjamin C. Flores, Ying-Cheng Lai

      • Editor
    • Henry Leung

      Henry Leung is a Professor in the Department of Electrical and Computer Engineering of the University of Calgary, Canada. Previously, he was with the Department of National Defence (DND) of Canada as a defence scientist, where he conducted research and development of automated surveillance systems. His current research interests include adaptive systems, computational intelligence, data mining, information fusion, robotics, sensor networks, signal processing and wireless communications. He was awarded the Mountbatten Premium by the Institution of Electrical Engineers for his work on applying chaos and fractals to radar signal processing.

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