How to normalize measured data?
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I have a large amount of measurements, where the time interval among the data points is not equal (but monotonically increasing). For certain operations, such as filters, however, I need equal time intervals. How can I normalize the data?
I thought of creating an X-vector with equal time intervals 0:1E-10:1, find the measured X-values closest to these intervals, and take the Y value of that finding. However, due to the large amount of data, this is a very lengthy process. Are there any better and more efficient solutions?
This is my code so far:
[Time, Load, ~] = textread('2.txt', '%f %f %f');
TimeNorm = 0:1E-10:1;
for ii = 1:size(TimeNorm,2)
val = TimeNorm(ii);
[N,bin]=histc(val,Time);
LoadNorm(ii) = Load(bin);
end
Thanks very much!
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Réponse acceptée
dpb
le 12 Oct 2015
Unless the timing is grossly out, probably
doc interp1
is about as good a job as you can do.
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