IMECH-IR  > 流固耦合系统力学重点实验室
Applications of nonlinear methods to signal detection of time series
Zhong XF(钟兴福); Lin LM(林黎明); Wu YX(吴应湘); Zhong, XF (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
Source Publication2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA)
2013
Pages306-309
Conference Name5th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2013)
Conference DateJAN 16-17, 2013
Conference PlaceHong Kong, PEOPLES R CHINA
AbstractThe analysis of time series from real system is the most direct link between nonlinear theory and real world. If the measure data from nonlinear system are described linearly, useful signal could not found out. The nonlinear methods in this paper, Poincare map, fractal dimension, and correlation dimension, are introduced to detect chaos phenomena in a system. These nonlinear algorithms can be used to pick up signal characteristics of time series. Some examples are presented to illustrate how to apply these methods in signal detection and engineering signal analysis.
KeywordNonlinear Methods Time Series Signal Analysis
DepartmentLMFS多相流及流固耦合(LHO)
ISBN978-0-7695-4932-3
URL查看原文
Indexed ByCPCI ; EI
Language英语
Document Type会议论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/47574
Collection流固耦合系统力学重点实验室
Corresponding AuthorZhong, XF (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Zhong XF,Lin LM,Wu YX,et al. Applications of nonlinear methods to signal detection of time series[C]:IEEE,2013:306-309.
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