Regularised numerical differentiation
Version 1.0.2 (31.6 KB) by Jakub Wagner
Tools for differentiation of error-corrupted data
Updated 8 Jul 2021
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:
Jakub Wagner (2023). Regularised numerical differentiation (https://www.mathworks.com/matlabcentral/fileexchange/74165-regularised-numerical-differentiation), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform CompatibilityWindows macOS Linux
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