Pages that link to "Item:Q3388671"
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The following pages link to Characterizing dynamical transitions by statistical complexity measures based on ordinal pattern transition networks (Q3388671):
Displaying 10 items.
- Multi-scale transition network approaches for nonlinear time series analysis (Q2113086) (← links)
- Transition-based complexity-entropy causality diagram: a novel method to characterize complex systems (Q2219597) (← links)
- Learning and distinguishing time series dynamics via ordinal patterns transition graphs (Q2286070) (← links)
- Multiscale ordinal network analysis of human cardiac dynamics (Q4560678) (← links)
- Complex Networks Approach for Dynamical Characterization of Nonlinear Systems (Q5206903) (← links)
- Persistence of Weighted Ordinal Partition Networks for Dynamic State Detection (Q5887845) (← links)
- Characterizing the statistical complexity of nonlinear time series via ordinal pattern transition networks (Q6045253) (← links)
- Quantifying time series complexity by multi-scale transition network approaches (Q6156461) (← links)
- A new parameter-free entropy based on fragment oscillation and its application in fault diagnosis (Q6199718) (← links)
- Dispersion complexity-entropy curves: an effective method to characterize the structures of nonlinear time series (Q6552136) (← links)
