0 个投票

How to smooth a plot?
len1 = [25, 250, 500, 750, 1000];
for k1 = 1:length(len1)
standard_deviation1(k1) = std(resdphs(1:5000, len1(k1)));
end
f10 = [110, 100, 90, 80, 70];
figure(3),plot(f10, standard_deviation1);xlabel('frequency'); ylabel('standarddev');
grid

2 个评论
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Adam
Adam 2015-8-11
Your plot seems to bear no relation to the code that comes with it.
Mayank Lakhani
Mayank Lakhani 2015-8-11
Hey, Adam sorry for my mistake.

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Star Strider
Star Strider 2015-8-11

1 个投票

I’m not certain what you want to do, but you might consider experimenting with polyfit and its friends.

4 个评论
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Mayank Lakhani
Mayank Lakhani 2015-8-11
I mean there shoud be no sharp edges in the curve, so it shoud be bending smoothly.
Star Strider
Star Strider 2015-8-11
The polyfit function can do that, as can the interp1 function with one of the nonlinear method choices, such as 'spline', 'pchip' or 'cubic'.
If you want the curve defined at more points than you measured, also use the linspace function. For example, to get a vector of 100 points over the range of your ‘f10’ vector, consider creating ‘f10_interp’ (call it what you want) as:
f10_interp = linspace(min(f10), max(f10));
then to use it with interp1:
stdev1_interp = interp1(f10, standard_deviation1, f10_interp, 'spline');
and plot it as:
plot(f10_interp, stdev1_interp)
NOTE: Since I don’t have your data, this is UNTESTED CODE.
Experiment with it to get the result you want.
Mayank Lakhani
Mayank Lakhani 2015-8-12
Hey Star Strider, thanks it is working :)
Star Strider
Star Strider 2015-8-12
My pleasure!

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