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  Complexity from ordinal pattern positioned slopes (COPPS)

Eyebe Fouda, J. S. A., Koepf, W., Marwan, N., Kurths, J., Penzel, T. (2024): Complexity from ordinal pattern positioned slopes (COPPS). - Chaos, Solitons and Fractals, 181, 114708.
https://doi.org/10.1016/j.chaos.2024.114708

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???ViewItemFull_lblCiteItemAs???: https://publications.pik-potsdam.de/pubman/item/item_29753 ???ViewItemFull_lblCiteItemVersionAs???: https://publications.pik-potsdam.de/pubman/item/item_29753_1
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Eyebe Fouda, Jean Sire Armand1, ???ENUM_CREATORROLE_AUTHOR???
Koepf, Wolfram1, ???ENUM_CREATORROLE_AUTHOR???
Marwan, Norbert2, ???ENUM_CREATORROLE_AUTHOR???           
Kurths, Jürgen2, ???ENUM_CREATORROLE_AUTHOR???           
Penzel, Thomas1, ???ENUM_CREATORROLE_AUTHOR???
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 ???ViewItemFull_lblAbstract???: Measuring complexity allows to characterize complex systems. Existing techniques are limited to simultaneously measure complexity from short length data sets, detect transitions and periodic dynamics. This paper presents an approach based on ordinal pattern positioned slopes (OPPS). It considers exclusively OPPS group occurrences to compute the complexity from OPPS (COPPS) as the average number of patterns and applies to short data series. The COPPS measure was successfully applied to simulation data for measuring complexity, detecting transition phases and regular dynamics, distinguishing between chaotic and stochastic dynamics; and to real-world data for detecting arrhythmia ECG beats.

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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2024-03-042024-03-062024-04-01
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1016/j.chaos.2024.114708
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???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Nonlinear Dynamics
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Nonlinear Data Analysis
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Quantitative Methods
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???ViewItemFull_lblSourceTitle???: Chaos, Solitons and Fractals
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus, p3
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: Elsevier