Explore MATLAB source code curated for "实验数据处理" with clean implementations, documentation, and examples.
This resource covers MATLAB's interpolation capabilities and experimental data processing applications, including implementation examples with key functions like interp1, spline, and polyfit for various interpolation techniques.
For researchers working with experimental data processing, MATLAB surface fitting functions are strongly recommended. These functions excel at spatial point-based surface fitting, providing better alternatives to MATLAB's griddata interpolation which often delivers suboptimal results for scattered data points. While B-spline fitting is another option, its implementation requires careful selection of extrapolation points - a challenging task for average MATLAB users - and poses additional difficulties in handling non-gridded data transformations.