I am not sure what I should call what I am looking for, but I have some measurements that have 2 independent variables and I would like to get an interpolated value at a specified x,y coordinate. My measurements are not uniformally sampled on both axis, which prevent me from using a tool like Matlab interp2D. My goal is to resample these measurement to create a uniform grid of values that I can feed to a linear interpolator during a simulation.
The data is efficiency measurements of an electric motor taken by a power analyzer with respect to torque/speed. Each measurements is observed for severals seconds and the DC component is taken. Efficiency measurements are expected to be slightly changes when speed/torque changes, so no high frequency component.
What tool/algorithm should I look for? Intuitively, I would resolve this problem by making a mesh of triangle and then interpolating based on the 3 nearest point, or maybe a surface that would reduce the mean error squared. I'd like to use an already proven technique.
I mainly use Matlab and Scipy.