Hi,
As the raw data is available in the form of matrices in the MAT-file, converting the plotted curves into images and then finding the error will not be necessary.
Up sampling the dataset with the lesser number of data points so that the datasets have the same lengths is the workaround to solve the issue of mismatched datasets. This is also discussed in the following MATLAB Answers post - https://www.mathworks.com/matlabcentral/answers/784166-interpolate-data-in-array-to-match-specified-length-of-data-in-another-vector.
The function “interp1” can be used to find the interpolated values of a “1-D” function at specific query points. With respect to your post, “A2” and “B2” have 98 data points whereas “A1” and “B1” have 151 data points. As a result, “A2” needs to be up sampled and the corresponding interpolated values should be found. This can be done as follows –
B2_interpolated = interp1(A2,B2,A1);
Here, “A2” is up sampled to the same length as “A1” and the corresponding interpolated values of “B2” are found. For more information about the “interp1” function, refer to this link - https://www.mathworks.com/help/matlab/ref/double.interp1.html.
Now, the two datasets can be subtracted from each other, as desired –
B1 – B2_interpolated;
Hope this helps!
