How to do "Cosine wave approximation“ for random plot data
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ryohei yanagawa
el 21 de Dic. de 2018
Comentada: ryohei yanagawa
el 22 de Dic. de 2018
I want to do "Cosine wave approximation“ for randam plot data.
Is there a way to forcefully approximate the following data?
Also please tell me about how to do it.
x = [0.087266463 0.261799388 0.436332313 0.610865238 0.785398163 0.959931089 1.134464014 1.308996939 1.483529864];
y = [22 22 16 13 13 9 3 0 3];
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John D'Errico
el 21 de Dic. de 2018
easy peasy. Though I have no clue what it means to "forcef\ully approximate".
x0 = [mean(y),max(y) - min(y)/2,0,3];
ft = fittype('a + b*cos((x-c)*d)')
ft =
General model:
ft(a,b,c,d,x) = a + b*cos((x-c)*d)
mdl = fit(x',y',ft,'startpoint',x0)
mdl =
General model:
mdl(x) = a + b*cos((x-c)*d)
Coefficients (with 95% confidence bounds):
a = 11.96 (7.416, 16.51)
b = 10.43 (4.97, 15.88)
c = -0.02594 (-0.8867, 0.8348)
d = 2.079 (0.141, 4.017)
plot(x,y,'o'),hold on,plot(mdl)
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John D'Errico
el 21 de Dic. de 2018
If I had to guess, you are trying to execute lines of command window output from the curve fitting toolbox.
I would strongly suggest that you read the documentation for the curve fitting toolbox. It also looks like you want to read the getting started tutorialsin MATLAB, since it looks like you are trying to execute things that are not MATLAB code.
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