Complex Network Construction of Univariate Chaotic Time Series Based on Maximum Mean Discrepancy
The analysis of chaotic time series is usually a challenging task due to its complexity. In this communication, a method of complex network construction is proposed for univariate chaotic time series, which provides a novel way to analyze time series. In the process of complex network construction,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/22/2/142 |