Regularised numerical differentiation
Tools for differentiation of error-corrupted data
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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:
Cite As
Jakub Wagner (2026). Regularised numerical differentiation (https://se.mathworks.com/matlabcentral/fileexchange/74165-regularised-numerical-differentiation), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.2 (31.6 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
