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  Recurrence quantification analysis for the identification of burst phase synchronisation

Lameu, E. L., Yanchuk, S., Macau, E. E. N., Borges, F. S., Iarosz, K. C., Caldas, I. L., Protachevicz, P. R., Borges, R. R., Viana, R. L., Szezech, J. D., Batista, A. M., Kurths, J. (2018): Recurrence quantification analysis for the identification of burst phase synchronisation. - Chaos, 28, Art. 085701.
https://doi.org/10.1063/1.5024324

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_22700 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_22700_2
Genre: Journal Article

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 Creators:
Lameu, E. L.1, Author
Yanchuk, S.1, Author
Macau, E. E. N.1, Author
Borges, F. S.1, Author
Iarosz, K. C.1, Author
Caldas, I. L.1, Author
Protachevicz, P. R.1, Author
Borges, R. R.1, Author
Viana, R. L.1, Author
Szezech, J. D.1, Author
Batista, A. M.1, Author
Kurths, Jürgen2, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Dates: 2018
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: DOI: 10.1063/1.5024324
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 8239
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: Chaos
Source Genre: Journal
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Pages: - Volume / Issue: 28 (Art. 085701) Sequence Number: - Start / End Page: - Identifier: -