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Nonlinear Interrelation of Chaotic Time Series with Wavelet Transform and Recurrence Plot Analyses

文献类型:会议论文

作者Deng LH(邓林华)
出版日期2014
会议名称6th International Conference on Digital Image Processing (ICDIP)
会议日期2014-04-05
会议地点Athens, GREECE
关键词Wavelet transform recurrence plot signal identification
卷号9159
通讯作者Deng, LH (reprint author), Chinese Acad Sci, Yunnan Observ, Kunming 650011, Peoples R China.
英文摘要Two relatively advanced and powerful analysis methods, i.e. coherence-wavelet transform and cross-recurrence plot, which are used to probe the nonlinear interrelation between different time series, have been applied to non-stationary time series in this paper. The case study uses the chaotic time series of astronomical observational data for the time interval from January 1966 to December 2010. We examined the phase dynamical properties between two data sets and found that the availability of a physically meaningful phase definition depends crucially on the appropriate choice of the reference frequencies. Furthermore, their phase shift is not only time-dependent but also frequency-dependent. We conclude that advanced nonlinear analysis approaches are more powerful than traditional linear methods when they are applied to analyze nonlinear and non-stationary dynamical behavior of complex physical systems.
收录类别EI ; CPCI
产权排序第一完成单位
会议网址http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1863751
会议录Proceedings of SPIE - 6TH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2014)
会议录出版者SPIE-INT SOC OPTICAL ENGINEERING
学科主题Engineering ; Optics
会议录出版地1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
语种英语
ISSN号0277-786X
ISBN号978-1-62841-186-7
源URL[http://ir.ynao.ac.cn/handle/114a53/4875]  
专题云南天文台_抚仙湖太阳观测站
作者单位Yunnan Observatories (China)
推荐引用方式
GB/T 7714
Deng LH. Nonlinear Interrelation of Chaotic Time Series with Wavelet Transform and Recurrence Plot Analyses[C]. 见:6th International Conference on Digital Image Processing (ICDIP). Athens, GREECE. 2014-04-05.http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1863751.

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来源:云南天文台

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