PECUZAL embedding algorithm for Matlab

Version 1.4 (6,88 MB) von K. H. Kraemer

This is the PECUZAL implementation for Matlab. An automated approach for attractor reconstruction of uni- and multivariate datasets.

https://github.com/hkraemer/PECUZAL_Matlab

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5.0

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135 Downloads

Aktualisiert 26. Feb 2022

Lizenz auf GitHub anzeigen

For further reading and explanation of the algorithm, see Kraemer et al. 2021, A unified and automated approach to attractor reconstruction. For installing this Toolbox, simply double-click `pecuzal-embedding.mltbx`. For further information also see the documentation (`Examples`).

Zitieren als

K. H. Kraemer (2026). PECUZAL embedding algorithm for Matlab (https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.4), GitHub. Abgerufen8. Januar 2026.

Kraemer, K. H., et al. “A Unified and Automated Approach to Attractor Reconstruction.” New Journal of Physics, vol. 23, no. 3, IOP Publishing, Mar. 2021, p. 033017, doi:10.1088/1367-2630/abe336.

Mehrere Stile anzeigen

Kompatibilität der MATLAB-Version

Erstellt mit R2020b

Kompatibel mit allen Versionen

Plattform-Kompatibilität

Windows macOS Linux

Tags Tags hinzufügen

private

tests

test_pecuzal.m

html

pecuzal_examples.mlx

Version	Veröffentlicht	Versionshinweise
1.4	26. Feb 2022	See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.4	Herunterladen
1.3.7	19. Aug 2021	See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.7	Herunterladen
1.3.4	25. Mai 2021	See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.4	Herunterladen
1.3.3	18. Mär 2021	See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.3	Herunterladen
1.3.2	13. Mär 2021	See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.2	Herunterladen
1.0.1	20. Jan 2021		Herunterladen
1.0.0.0	10. Mär 2022	See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.0	Herunterladen

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.

MLA	Kraemer, K. H., et al. “A Unified and Automated Approach to Attractor Reconstruction.” New Journal of Physics, vol. 23, no. 3, IOP Publishing, Mar. 2021, p. 033017, doi:10.1088/1367-2630/abe336.
APA	Kraemer, K. H., Datseris, G., Kurths, J., Kiss, I. Z., Ocampo-Espindola, J. L., & Marwan, N. (2021). A unified and automated approach to attractor reconstruction. New Journal of Physics, 23(3), 033017. IOP Publishing. Retrieved from https://doi.org/10.1088%2F1367-2630%2Fabe336
BibTeX	@article{Kraemer_2021, doi = {10.1088/1367-2630/abe336}, url = {https://doi.org/10.1088%2F1367-2630%2Fabe336}, year = 2021, month = {mar}, publisher = {{IOP} Publishing}, volume = {23}, number = {3}, pages = {033017}, author = {K H Kraemer and G Datseris and J Kurths and I Z Kiss and J L Ocampo-Espindola and N Marwan}, title = {A unified and automated approach to attractor reconstruction}, journal = {New Journal of Physics} }