Characterizing scaling properties of complex signals with missed data segments 
using the multifractal analysis

Pavlov, A. N.; Pavlova, O. N.; Abdurashitov, A. S.; Sindeeva, O. A.; Semyachkina-Glushkovskaya, O. V.; Kurths, Jürgen

doi:10.1063/1.5009438

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Characterizing scaling properties of complex signals with missed data segments using the multifractal analysis

Pavlov, A. N., Pavlova, O. N., Abdurashitov, A. S., Sindeeva, O. A., Semyachkina-Glushkovskaya, O. V., Kurths, J. (2018): Characterizing scaling properties of complex signals with missed data segments using the multifractal analysis. - Chaos, 28, Art. 013124.
https://doi.org/10.1063/1.5009438

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_22442 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_22442_2

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Creators:
Pavlov, A. N.¹, Author
Pavlova, O. N.¹, Author
Abdurashitov, A. S.¹, Author
Sindeeva, O. A.¹, Author
Semyachkina-Glushkovskaya, O. V.¹, Author
Kurths, Jürgen², Author

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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13
2Potsdam Institute for Climate Impact Research, ou_persistent13

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Dates: Finally published : 2018

Publication Status: Finally published

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Identifiers: DOI: 10.1063/1.5009438
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 8088
Working Group: Network- and machine-learning-based prediction of extreme events

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Title: Chaos

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Pages: - Volume / Issue: 28 (Art. 013124) Sequence Number: - Start / End Page: - Identifier: -