PECUZAL embedding algorithm for Matlab
This is the PECUZAL implementation for Matlab. An automated approach for attractor reconstruction of uni- and multivariate datasets.
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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. Abgerufen .
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.
Allgemeine Informationen
- Version 1.4 (6,88 MB)
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Lizenz auf GitHub anzeigen
Kompatibilität der MATLAB-Version
- Kompatibel mit allen Versionen
Plattform-Kompatibilität
- Windows
- macOS
- Linux
| Version | Veröffentlicht | Versionshinweise | Action |
|---|---|---|---|
| 1.4 | See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.4 |
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| 1.3.7 | See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.7 |
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| 1.3.4 | See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.4 |
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| 1.3.3 | See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.3 |
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| 1.3.2 | See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.2 |
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| 1.0.1 | |||
| 1.0.0.0 | See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.0 |
