《混沌信號處理(英文版)》重點介紹了非線性動力學在雷達系統、目標識別、通信、系統辨識和運算邏輯等眾多領域的套用，展示了在這些領域的最新研究成果。《混沌信號處理(英文版)》既包含了混沌信號處理的基本理論和套用，也討論了該領域的最新的技術發展。主要內容包括：基於非線性動力學的目標識別、非線性動力學的邏輯學、利用混沌進行系統辨識、混沌通信的濾波器設計、混沌雷達、利用混沌同步壓縮感知。
基本介紹
- 書名：混沌信號處理
- 作者：梁季怡 羅朝俊
- 出版日期：2014年1月1日
- 語種：簡體中文, 英語
- 品牌：高等教育出版社
- 外文名：Chaotic Signal Processing
- 出版社：高等教育出版社
- 頁數：214頁
- 開本：16
內容簡介,圖書目錄,
內容簡介
《混沌信號處理(英文版)》由梁季怡主編，高等教育出版社出版。信號處理傳統上是藉助統計工具來實現的，而混沌信號的處理則提供了另一種選擇，現實生活中的許多信號的隨機性質可以利用非線性動力學來處理。另外，混沌可以利用簡單的硬體實現來產生，這使得混沌系統比較容易套用在通信和安全等需要隨機信號的學科領域。
圖書目錄
Preface
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 Dynarrucs
T.L.Carroll and F.J.Racbford
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,Jonatban N.Blakely, and Sbawn D.Petbel
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, Abrabam Miliotis, K.Murali, and Sudesbna Sinba
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 Ajeesb 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-Cbeng 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
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 Dynarrucs
T.L.Carroll and F.J.Racbford
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,Jonatban N.Blakely, and Sbawn D.Petbel
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, Abrabam Miliotis, K.Murali, and Sudesbna Sinba
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 Ajeesb 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-Cbeng 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
