I need to interpolate 2D scattered data onto a fine grid. Below is what I am currently doing, and my question is whether there exists a faster a way? Currently my largest data sets (on the order of 3000 x 15000 after up-sampling) take upwards of 7 minutes to run. Preferably this would be a few seconds, but maybe that is asking too much...Similar to my other questions I am unable to provide the exact code for a variety of reasons, but I have listed the steps that I currently perform:
- User selects a subset of the input data to view, which is not unifornly spaced.
- Generate equally space points using Linspace (based on the max and min values of my input data set)
- Create the new grid using Meshgrid
- Generate interpolated data set using griddata(old_x,old_y,old_data,new_x,new_y,'nearest')
I have tried running this from a separate function file, from the command window, and as a private function inside my app designer app. They are all very very slow. Would another 2D interpolation technique be better for my appliciation?
Thank you so much!
