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对时变混沌系统的信号重构
引用本文:肖国强,田红,冯久超,鲁瑞华.对时变混沌系统的信号重构[J].西南师范大学学报(自然科学版),2003,28(5):696-701.
作者姓名:肖国强  田红  冯久超  鲁瑞华
作者单位:1. 西南师范大学,计算机与信息学院,重庆,400715
2. 西南师范大学,教务处,重庆,400715
3. 西南师范大学,电子与信息工程学院,重庆,400715
基金项目:教育部回国留学人员科研专项基金(130501),重庆市科委应用基础研究基金(2001-6810),西南师范大学回校博士基金(220-413604).
摘    要:证实了在基于观察者途径的情况下,Takens的嵌入重构定理能扩展到时变混沌系统.Lur‘e系统被特别考虑.作为应用的实例,讨论了在没有信道噪声和畸变的情况下,在基于混沌的通信系统的信息信号的恢复.

关 键 词:时变混沌系统  信号重构  嵌入重构定理  混沌通信系统  Lur'e系统  信号恢复

Reconstruction of Signal for Time-Varying Chaotic Systems
XIAO Guo-qiang,TIANHong,FENG Jiu-chao,LU Rui-hua .School of Computer and Information Science,Southwest China Normal University,Chongqing ,China, .Academic Secretariat,Southwest China Normal University,Chongqing ,China, .School of Electronic and Information Engineering,Southwest China Normal University,Chongqing ,China.Reconstruction of Signal for Time-Varying Chaotic Systems[J].Journal of Southwest China Normal University(Natural Science),2003,28(5):696-701.
Authors:XIAO Guo-qiang  TIANHong  FENG Jiu-chao  LU Rui-hua School of Computer and Information Science  Southwest China Normal University  Chongqing  China  Academic Secretariat  Southwest China Normal University  Chongqing  China  School of Electronic and Information Engineering  Southwest China Normal University  Chongqing  China
Institution:XIAO Guo-qiang~1,TIANHong~2,FENG Jiu-chao~3,LU Rui-hua~3 1.School of Computer and Information Science,Southwest China Normal University,Chongqing 400715,China, 2.Academic Secretariat,Southwest China Normal University,Chongqing 400715,China, 3.School of Electronic and Information Engineering,Southwest China Normal University,Chongqing 400715,China
Abstract:Takens' embedding theory are applicable only for time invariant systems. It is shown that embedding reconstructions can be applied to time varying systems based on an observer approach. In particular, the Lur'e system is considered. As an application example, we discuss the information retrieval in chaos-based communication systems in the absence of noise and distortion.
Keywords:chaos  chaotic communications  reconstruction
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