Cumulative residual symbolic dispersion entropy and its multiscale version: Methodology, verification, and application

Y Wang, Y Xu, M Liu, Y Guo, Y Wu, C Chen… - Chaos, Solitons & …, 2022 - Elsevier
In quantifying the complexity characteristics of neurophysiological signals, the most
advanced entropy methods still have some inevitable limitations of poor accuracy …
被引用次数：6 相关文章

Cumulative residual symbolic dispersion entropy and its multiscale version: Methodology, verification, and application

Y Wang, Y Xu, M Liu, Y Guo, Y Wu, C Chen… - Chaos, Solitons & …, 2022 - ideas.repec.org
In quantifying the complexity characteristics of neurophysiological signals, the most
advanced entropy methods still have some inevitable limitations of poor accuracy …

Cumulative residual symbolic dispersion entropy and its multiscale version: Methodology, verification, and application

Y Wang, Y Xu, M Liu, Y Guo, Y Wu… - Chaos, Solitons & …, 2022 - econpapers.repec.org
In quantifying the complexity characteristics of neurophysiological signals, the most
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Cumulative residual symbolic dispersion entropy and its multiscale version: Methodology, verification, and application

Y Wang, Y Xu, M Liu, Y Guo, Y Wu… - Chaos Solitons and …, 2022 - ui.adsabs.harvard.edu
In quantifying the complexity characteristics of neurophysiological signals, the most
advanced entropy methods still have some inevitable limitations of poor accuracy …

Cumulative Residual Symbolic Dispersion Entropy and its Multiscale Version: Methodology, Verification, and Application

Y Wang, Y Xu, M Liu, W Chen - Verification, and Application - papers.ssrn.com
In quantifying the complexity characteristics of neurophysiological signals, the most
advanced entropy methods still have some inevitable limitations, such as poor accuracy …