Regularised numerical differentiation
Version 1.0.2 (31,6 ko) par
Jakub Wagner
Tools for differentiation of error-corrupted data
Implementation of various methods for numerical differentiation of vectors of data corrupted with measurement errors. Regularisation parameters are optimised automatically. For instructions, see help rdiff. For exemplary usages, see example.m.
Some details about the implemented methods can be found in chapters 3 and 4 of my Ph.D. thesis, available under the following link:
Citation pour cette source
Jakub Wagner (2024). Regularised numerical differentiation (https://www.mathworks.com/matlabcentral/fileexchange/74165-regularised-numerical-differentiation), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2018b
Compatible avec toutes les versions
Plateformes compatibles
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Version | Publié le | Notes de version | |
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1.0.2 | Added link to thesis in the description. |
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1.0.1 | Changed title and summary |
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1.0.0 |