calculate the mean square error

2019 3 15
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更新时间：2019 3 18
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Adam
Adam 2019-3-15

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

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Guido Pastore
Guido Pastore 2019-3-15
but is it necessary that the two arrays have the same size ??
Adam
Adam 2019-3-15
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.
Guido Pastore
Guido Pastore 2019-3-15
编辑：Guido Pastore 2019-3-15
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??
Adam
Adam 2019-3-18
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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Adam
Adam
2019-3-18

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