Curve smoothing using Matlab
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I have got an experimental curve which is a bit wavy (curve has a lot of noise and hence is wavy).
I want to smoothn the curve using Matlab.
Can anyone advise the best tool in Matlab for this?
I wanted to attach the plot of curve which needs to be smoothened but couldn't find a way to attach it here.
shalini
回答(3 个)
Richard Willey
2012-4-6
0 个投票
I have a function called FitIt on the file exchange that might prove useful.
FitIt combines
Local regression (to smooth your data set) Cross validation (to estimate an optimal spanning parameter) Bootstrap (to generate confidence intervals)
FitIt has dependencies on both Curve Fitting Toolbox and Statistics Toolbox.
4 个评论
Shalini
2012-4-9
Richard Willey
2012-4-10
Hi Shalini
You can download the function from
http://www.mathworks.com/matlabcentral/fileexchange/31562-data-driven-fitting-with-matlab
Please note: Under the hood, this function uses the "Smmoth" function that Sean is recommending. The major difference is that I added some code that automatically computes an optimal spanning parameter for the smooth function and also gives you the option of computing confidence intervals.
There is a recorded webinar available on this topic at
http://www.mathworks.com/company/events/webinars/wbnr56627.html?id=56627&p1=961661709&p2=961661727
Taymaz Tek
2012-6-9
Hi everybody,
I had been trying to use your function, fitit, in my own problem but it didn't work well. In the case of your demo, it is quite ok but when I try to run it with my signal, there is an error:
??? Error using ==> horzcat
CAT arguments dimensions are not consistent.
Error in ==> fitit at 21
sse(j) = sum(crossval(f,[X,Y],'partition',cp));
can you please let me know where this can be driven?
Taymaz Tek
2012-6-9
Thanks in adavnce
Sean de Wolski
2012-4-9
How about smooth() :)
doc smooth
3 个评论
Shalini
2012-4-9
Sean de Wolski
2012-4-9
If you run:
doc smooth
at the command line it will tell you all about the SMOOTH function, (well as long as you have a somewhat recent version of MATLAB with the Curve Fitting Toolbox)
Samuel Suakye
2017-6-6
figure clear; clc; delta=[0.0259, 0.0518, 0.0776, 0.1035, 0.1293]*10; %delta=0.01:0.09:0.5; delta1=0.01:0.1:0.5; hbar=6.5821220*10e-16; k=8.617385*10e-5; T=300; d=[100 150 200]*10e-10; m = 9.1093897*10e-31; v = 2.8*10e8; c = 3.0*10e8; wp = 10e12; w = 0.7071; gamma = (1-((v^2)/(c^2)))^-0.5; delta2= delta1./(k*T); %% figure hold on for i = 1:length(d) wo=(wp^2*m*d(i)^2*delta1.*besseli(1,delta2))./(hbar^2*besseli(0,delta2)).^(0.5); delta3=delta./(k*T); therta = asind(1-(w.^2./wo.^2)).^0.5; wb = gamma.*wo.*cosd(therta); %wb^2=2 rho=(hbar^2.*2.*besseli(0,delta3))./(wp^2*m*d(i)^2*k*T.*delta3.*besseli(1,delta3)); plot(delta3,rho,'LineWidth',1.5) end %% xlabel('\Delta^*') ylabel('E_b/E_s') hold on grid on All comments are not working for my codes above
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