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calculate the mean square error

Asked by Guido Pastore on 15 Mar 2019
Latest activity Commented on by Adam
on 18 Mar 2019
Given two arrays of double how do I calculate the mean square error

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Answer by Adam
on 15 Mar 2019

Calculate the error, square it and calculate the mean!
mean( ( a - b ).^2 );

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Yes, otherwise what are you calculating errors between? The errors are per point - you need a value and a value to compare it with for each point. If you don't have that then you can either throw away points that don't have a matching value or potentially interpolate values to compare them with, but that depends very much on the situation - 'inventing' data is not a great idea in many situations.
How can I interpolate values ??
I'll explain my situation to you.
I have two arrays.
1.The first array comes from a data acquisition performed through Kinect which has a higher acquisition frequency, in fact the size of this array is 1054x1.
2.The second array comes from a data acquisition performed through an Intel RealSense camera that has a lower acquisition frequency, in fact the size of this array is 601x1.
How can I solve the problem and then proceed to the calculation of the mean square error??
doc interp1
should allow you to resample the 601 up to 1054 (or the 1054 down to 601 if you prefer) and then you can compare per-point, bearing in mind that you are no longer comparing raw data.

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