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  • 标题:Nonlinear analysis of gravitational wave signals based on recurrence quantification analysis
  • 本地全文:下载
  • 作者:Zhenyan Fan ; Qianqian Chen ; Guiqi Sun
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:210
  • DOI:10.1051/matecconf/201821005011
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Recurrence plot and recurrence quantification analysis are used to analyze different features of gravitational wave signals. Firstly, the appropriate delay time and embedding dimension are respectively estimated by methods of the C_C method. One dimension time series of gravitational wave is extended to high dimension phase space by employing phase space reconstruction for studying the movement characteristic of neighboring points in time series. Then the recurrence plots of different gravitational wave signals are implemented intuitively and qualitatively analyzing different features of gravitational wave signals. Different nonlinear characteristic parameters are calculated by recurrence quantification analysis (RQA) methods, such as recurrence rate, recurrence entropy, determinism rate and stratification, based on which the features of different gravitational wave signals can be well analyzed quantitatively.
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