PECUZAL embedding algorithm for Matlab

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

https://github.com/hkraemer/PECUZAL_Matlab

版本 1.4 (6.9 MB)
138.0 次下载
(1)
2022/2/26

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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`).

引用格式

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

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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一般信息

MATLAB 版本兼容性

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平台兼容性

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  • macOS
  • Linux
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版本 已发布 发行说明
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

1.0.0.0

See release notes for this release on GitHub: https://github.com/hkraemer/PECUZAL_Matlab/releases/tag/1.0
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 存储库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 存储库。