Applications of nonlinear methods to signal detection of time series

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.
会议录名称	2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA)
	2013
页码	306-309
会议名称	5th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2013)
会议日期	JAN 16-17, 2013
会议地点	Hong Kong, PEOPLES R CHINA
摘要	The 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.
关键词	Nonlinear Methods Time Series Signal Analysis
课题组名称	LMFS多相流及流固耦合(LHO)
ISBN号	978-0-7695-4932-3
URL	查看原文
收录类别	CPCI ; EI
语种	英语
文献类型	会议论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/47574
专题	流固耦合系统力学重点实验室
通讯作者	Zhong, XF (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China.
推荐引用方式 GB/T 7714	Zhong XF,Lin LM,Wu YX,et al. Applications of nonlinear methods to signal detection of time series[C]2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA),2013:306-309.

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