plotting standard deviation using normfit
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I have a matrix amp which is having dimension of [50000*100]. In which number of rows represents number of measurements. Using "normfit" fucntion i am getting standard deviation for different measurements like below.
[sigma, standard_deviation] = normfit(amp(1:10, 50));
[sigma, standard_deviation] = normfit(amp(1:100, 50));
[sigma, standard_deviation] = normfit(amp(1:1000, 50));
[sigma, standard_deviation] = normfit(amp(1:5000, 50));
[sigma, standard_deviation] = normfit(amp(1:10000, 50));
[sigma, standard_deviation] = normfit(amp(1:20000, 50));
how to catch, standard_deviation in a matrix and plot number of measurments vs standard deviation.
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Star Strider
2015-8-2
Using normfit to calcualte the standard deviation is taking the long way round, since you’re not asking for the other outputs it can give you.
Use this instead:
len = [10, 100, 1000, 5000, 10000, 20000];
for k1 = 1:length(len)
standard_deviation(k1) = std(amp(1:len(k1), 50));
end
figure(1)
plot(len, standard_deviation)
grid
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