Interpolation for missing data
Versione 1.2.0.0 (6,34 MB) da
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.
Cita come
Prakash Manandhar (2026). Interpolation for missing data (https://it.mathworks.com/matlabcentral/fileexchange/25443-interpolation-for-missing-data), MATLAB Central File Exchange. Recuperato .
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R2006b
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- MATLAB > Data Import and Analysis > Data Preprocessing >
- MATLAB > Mathematics > Interpolation > Interpolating Gridded Data >
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