Distinguishing chaotic time series from noise: A random matrix approach
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- 作者：Bin Ye ; yebin@cumt.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Jianxing Chen ; Chen Ju ; Huijun Li ; plutoli@163.com" class="auth_mail" title="E-mail the corresponding author ; Xuesong Wang
- 关键词：Chaotic time series ; Random matrix theory ; Noise ; Spectral distribution
- 刊名：Communications in Nonlinear Science and Numerical Simulation
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：44
- 期：Complete
- 页码：284-291
- 全文大小：621 K
文摘
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A RMT approach to identify the underlying dynamics of time series is proposed.
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Spectral statistics for continuous chaos don’t agree with the predictions of RMT.
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Spectral distributions for the standard map are similar to that of noisy signals.