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Detecting dynamic spatial correlation patterns with generalized wavelet coherence and non-stationary surrogate data
Time series measured from real-world systems are generally noisy, complex and display statistical properties that evolve continuously over time. Here, we present a method that combines wavelet analysis and non-stationary surrogates to detect short-lived spatial coherent patterns from multivariate ti...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517435/ https://www.ncbi.nlm.nih.gov/pubmed/31089157 http://dx.doi.org/10.1038/s41598-019-43571-2 |