Chaotic Signal Processing
Published on 6. March 2014
Book
Paperback/Softback
185 pages
978-1-61197-325-9 (ISBN)
Description
Chaos is a deterministic random phenomenon. Many signal processes (e.g., radar and sonar) have a random appearance, and chaos provides an alternative approach to processing these signals. This book presents up-to-date research results on chaotic signal processing, including the application of nonlinear dynamics to radar target recognition, an exactly solvable chaos approach for communications, a chaotic approach for reconfigurable computing, system identification using chaos, design of a high resolution LADAR system based on chaos, and the use of chaos in compressive sensing.
Audience: This book is intended for researchers and graduate students in chaos, applied nonlinear dynamics, signal processing, and radar communications.
Audience: This book is intended for researchers and graduate students in chaos, applied nonlinear dynamics, signal processing, and radar communications.
More details
Person
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 defense scientist, where he conducted research and development of automated surveillance systems, which can perform detection, tracking, identification, and data fusion automatically as a decision aid for military operators. 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 fractal to radar signal processing.
Content
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.