How to do "Cosine wave approximation“ for random plot data

1 view (last 30 days)
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];

Accepted Answer

John D'Errico
John D'Errico on 21 Dec 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)
untitled.jpg
  5 Comments
John D'Errico
John D'Errico on 21 Dec 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.
ryohei yanagawa
ryohei yanagawa on 22 Dec 2018
カーブフィッティングツールをインストールし,理解することができあました.
また,当初の課題も解決いたしました.
ご丁寧にありがとうございました.

Sign in to comment.

More Answers (0)

Categories

Find more on Mathematics in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!