Interpolation for missing data
Version 1.2.0.0 (6.34 MB) by
Prakash Manandhar
Interpolates using nearest neighbor, bilinear or bicubic formula for missing data points
While interpolation functions are available builtin in MATLAB, it requires data in specified griddata format. Consider sampling data from an experiment and you are missing some points and you don't want to repeat the experiment but require data at all grid-points for full calculation. This might help.
My data is an AFM image of a butterfly wings and there were missing parts from overlapping regions. Thanks to my colleague Nandula for the data.
Cite As
Prakash Manandhar (2026). Interpolation for missing data (https://uk.mathworks.com/matlabcentral/fileexchange/25443-interpolation-for-missing-data), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2006b
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- MATLAB > Data Import and Analysis > Data Preprocessing >
- MATLAB > Mathematics > Interpolation > Interpolating Gridded Data >
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