How to normalize measured data?

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!

Answer 1

[dpb]

Unless the timing is grossly out, probably

doc interp1

is about as good a job as you can do.

[Jay Muller]

Thanks, that's it!