How can I calculate Sum of Squared Errors of two matrices of a different number of rows

I would like to calculate SSE of two matrices of a different number of rows without loosing data and so obtain a new matrix were each kolom represents the SSE. Is it possible to "expand" or "shrink" (or project) a matrix? The problem is that I want to compare two measurement sets that were taken during the same timespan but they have a different amount of rows. I also have the time when each measurement was done.

Thanks for your advice.

Joël

Answer 1

[Shashank Prasanna]

Synchronize your data to a common time scale and then compute your error measure.

http://www.mathworks.com/help/matlab/ref/timeseries.synchronize.html

[Joël]

Thanks a lot, this was what I was looking for.