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• W3101602609 abstract "To further explain the computational principles of the new features of the complexity metrics we reported, we first explain the heuristic information and new variable definition methods proposed by our algorithms, as well as the construction creep (CC) rate defined by the self-similar characterization in the new 3D variable space. Two typical nonlinear equations are applied as test cases. Numerical computing results show that the geometric expression of 3D features is more realistic than 0-1 test for chaos, and the key threshold parameter of the similarity measure in solid value can discover higher complexity than Kaplan–Yorke dimension. This case study on signal complexity measure will push new applications for the healthy growing of chaos criteria tree." @default.
• W3101602609 created "2020-11-23" @default.
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• W3101602609 date "2020-11-18" @default.
• W3101602609 modified "2023-09-27" @default.
• W3101602609 title "Signal Complexity Measure Based on Construction Creep Rate in 3s Feature Space" @default.
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• W3101602609 doi "https://doi.org/10.1007/978-981-15-5887-0_2" @default.
• W3101602609 hasPublicationYear "2020" @default.
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