Regularised numerical differentiation

Tools for differentiation of error-corrupted data


Updated 8 Jul 2021

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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 (2023). Regularised numerical differentiation (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes

Added link to thesis in the description.


Changed title and summary