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PECUZAL embedding algorithm for Matlab

Version 1.4 (6.88 MB) by K. H. Kraemer
This is the PECUZAL implementation for Matlab. An automated approach for attractor reconstruction of uni- and multivariate datasets.
5.0
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79 Downloads

Updated 26 Feb 2022

From GitHub

View License on GitHub

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`).

Cite As

K. H. Kraemer (2023). PECUZAL embedding algorithm for Matlab (https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.4), GitHub. Retrieved .

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.

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MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.4

See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.4
1.3.7

See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.7
1.3.4

See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.4
1.3.3

See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.3
1.3.2

See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.3.2
1.0.1

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.