PyRQA - Conducting Recurrence Quantification Analysis on Very Long Time Series 
Efficiently

Rawald, Tobias; Sips, M.; Marwan, N.

doi:10.1016/j.cageo.2016.11.016

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PyRQA - Conducting Recurrence Quantification Analysis on Very Long Time Series Efficiently

Rawald, T., Sips, M., Marwan, N. (2017): PyRQA - Conducting Recurrence Quantification Analysis on Very Long Time Series Efficiently. - Computers and Geosciences, 104, 101-108.
https://doi.org/10.1016/j.cageo.2016.11.016

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1894890 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1894890_4

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Creators:
Rawald, Tobias¹, Author
Sips, M.¹, Author
Marwan, N.², Author

Affiliations:
11.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_224064
2External Organizations, ou_persistent22

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Dates: Finally published : 2017

Publication Status: Finally published

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Identifiers: DOI: 10.1016/j.cageo.2016.11.016
GFZPOF: p3 PT4 Natural Hazards

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Title: Computers and Geosciences

Source Genre: Journal, SCI, Scopus

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Pages: - Volume / Issue: 104 Sequence Number: - Start / End Page: 101 - 108 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals86