SampEn_G generalizes sample entropy to graph signals via multi-hop graph embeddings based on the graph shift operator, reducing to the classical version on path graphs and showing sensitivity to nonlinear dynamics.
Delgado-Bonal and A
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Multi-scale sample entropy reveals increased predictability in underground oscillator frequency data compared to above-ground, where conventional metrics show no separation, indicating cosmic-ray influence on fluctuations.
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Sample entropy for graph signals: An approach to nonlinear analysis of graph signals
SampEn_G generalizes sample entropy to graph signals via multi-hop graph embeddings based on the graph shift operator, reducing to the classical version on path graphs and showing sensitivity to nonlinear dynamics.