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Sampling effects on recurrence microstates distribution
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DOI：10.1016/j.physa.2025.131065.png)
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Abstract
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• Overlapping sampling is superior to non-overlapping, which under-samples microstates. • Sampling size is studied via JSD and entropy on random, chaotic, and EEG data. • Required sampling size increases with microstate size and is largest for random series. • Entropy analysis shows a sample size of O(104) is needed for k=3 microstates.
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