混沌信號(hào)處理 (Chaotic Signal Processing)(英文版)
定 價(jià):69 元
- 作者:梁季怡主編
- 出版時(shí)間:2014/1/1
- ISBN:9787040391794
- 出 版 社:高等教育出版社
- 中圖法分類(lèi):TN911.7
- 頁(yè)碼:215
- 紙張:膠版紙
- 版次:1
- 開(kāi)本:16開(kāi)
信號(hào)處理傳統(tǒng)上是借助統(tǒng)計(jì)工具來(lái)實(shí)現(xiàn)的,而混沌信號(hào)的處理則提供了另一種選擇,現(xiàn)實(shí)生活中的許多信號(hào)的隨機(jī)性質(zhì)可以利用非線性動(dòng)力學(xué)來(lái)處理。另外,混沌可以利用簡(jiǎn)單的硬件實(shí)現(xiàn)來(lái)產(chǎn)生,這使得混沌系統(tǒng)比較容易應(yīng)用在通信和安全等需要隨機(jī)信號(hào)的學(xué)科領(lǐng)域!痘煦缧盘(hào)處理(英文版)》重點(diǎn)介紹了非線性動(dòng)力學(xué)在雷達(dá)系統(tǒng)、曰標(biāo)識(shí)別、通信、系統(tǒng)辨識(shí)和運(yùn)算邏輯等眾多領(lǐng)域的應(yīng)用,展示了在這些領(lǐng)域的最新研究成果。
《混沌信號(hào)處理(英文版)》既包含了混沌信號(hào)處理的基本理論和應(yīng)用,也討論了該領(lǐng)域的最新的技術(shù)發(fā)展。主要內(nèi)容包括:
·基于非線性動(dòng)力學(xué)的目標(biāo)識(shí)別
·非線性動(dòng)力學(xué)的邏輯學(xué)
·利用混沌進(jìn)行系統(tǒng)辨識(shí)
·混沌通信的濾波器設(shè)計(jì)
·混沌雷達(dá)
·利用混沌同步壓縮感知
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 Dynamics T. L. Carroll and F. J. Racbford
2.1 Introduction
2.2 Radar
2.3 NonlinearDynamics
2.4 Adaptive Maps for Target Identification
2.5 Signal Processing Methods 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 Dynamics T. L. Carroll and F. J. Racbford
2.1 Introduction
2.2 Radar
2.3 NonlinearDynamics
2.4 Adaptive Maps for Target Identification
2.5 Signal Processing Methods
2.6 Conclusions
References
3 Communicating with Exactly Solvable Chaos Nedj. Corron, Jonatban N. Blakely, and Sbazvn 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 TheoreticaIBackground
6.3 Characterization of Chaotic Signal
6.4 Optimization of Control Parameters
6.5 LADARlmplementation
6.6 Conclusion
Acknowledgments
References
7 Reverse Engineering of Complex Dynamical Systems Based on Compressive Sensing Ying-Cbeng Lai
7.1 Introduction
……
Index