前辅文
 1 An Overview of Chaotic Signal Processing
  Henry Leung
  1.1 Introduction
  1.2 Problem Formulation
  1.3 Detection Techniques
  1.4 Estimation Techniques
  1.5 Summary
  References
 2 Target Recognition Using Nonlinear Dynamics
  T. L. Carroll and F. J. Rachford
  2.1 Introduction
  2.2 Radar
  2.3 Nonlinear Dynamics
  2.4 Adaptive Maps for Target Identification
  2.5 Signal Processing Methods
  2.6 Conclusions
  References
 3 Communicating with Exactly Solvable Chaos
  Ned J. Corron, Jonathan N. Blakely, and Shawn D. Pethel
  3.1 Introduction
  3.2 Communications
  3.3 Exactly Solvable Chaos
  3.4 Symbolic Dynamics Control
  3.5 Matched Filter Receiver
  3.6 Conclusions
  References
 4 Logic from Dynamics
  William L. Ditto, Abraham Miliotis, K. Murali, and Sudeshna Sinha
  4.1 Introduction
  4.2 Review of the Chaos Computing Paradigm
  4.3 Direct Implementation of SR Flip-Flop Using a Single Chaotic System
  4.4 Logical Cellular Automata
  4.5 Summary
  References
 5 System Identification Using Chaos
  Henry Leung and Ajeesh Kurian
  5.1 Introduction
  5.2 Problem Formulation
  5.3 Blind Equalization Techniques
  5.4 Performance Evaluation
  5.5 Application to Noncoherent Ranging
  5.6 Conclusions
  References
 6 Characterization and Optimization of a Chaotic LADAR System for High Resolution Range Determination
  Berenice Verdin and Benjamin C. Flores
  6.1 Introduction
  6.2 Theoretical Background
  6.3 Characterization of Chaotic Signal
  6.4 Optimization of Control Parameters
  6.5 LADAR Implementation
  6.6 Conclusion
  Acknowledgments
  References
 7 Reverse Engineering of Complex Dynamical Systems Based on Compressive Sensing
  Ying-Cheng Lai
  7.1 Introduction
  7.2 Predicting Catastrophic Bifurcations in Nonlinear Dynamical Systems
  7.3 Time-Series-Based Prediction of Complex Oscillator Networks
  7.4 Reconstruction of Social Networks Based on Evolutionary-Game Data
  7.5 Conclusions
  References
 Index