Chaotic Signal Processing
£59.99
- Editor: Henry Leung
- Date Published: March 2014
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial null Mathematics for availability.
- format: Paperback
- isbn: 9781611973259
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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.
Read more- 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
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×Product details
- Date Published: March 2014
- format: Paperback
- isbn: 9781611973259
- length: 185 pages
- dimensions: 254 x 178 x 9 mm
- weight: 0.35kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial null Mathematics for availability.
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.
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