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 Publication | 2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA) |
2013 | |
Pages | 306-309 |
Conference Name | 5th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2013) |
Conference Date | JAN 16-17, 2013 |
Conference Place | Hong Kong, PEOPLES R CHINA |
Abstract | 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. |
Keyword | Nonlinear Methods Time Series Signal Analysis |
Department | LMFS多相流及流固耦合(LHO) |
ISBN | 978-0-7695-4932-3 |
URL | 查看原文 |
Indexed By | CPCI ; EI |
Language | 英语 |
Document Type | 会议论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/47574 |
Collection | 流固耦合系统力学重点实验室 |
Corresponding Author | Zhong, 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]2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA),2013:306-309. |
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