Apologies in advance for what I imagine is a simple question, however I can't work out how to do this.
I have two signals of the same type but with different sensor types, the figure below will give you an idea of some of the data I've got:
I very simply want to calculate the average percentage difference between the two signals. Methods I've attempted so far have calculated outrageous results, in the order of ~200% difference. My attempt is below:
for i = 1:length(data)
per(i) = abs((var1(i)-var2(i))/((var1(i)+var2(i))/2)) * 100;
end
I believe the problem in this method is that I'm only calculating the difference between the two immediate points in question (i) and not on a grand scale of all the data.
Any help would be greatly appreciated.
per(i)
becomes singular whenevervar1(i)+var2(i)
becomes zero, so you could get nonsensical catastrophic numerical errors tending towards infinity if the signal "accidentally" satisfies this equality. $\endgroup$ – DumpsterDoofus Feb 10 '14 at 22:05