# Curve smoothing using Matlab

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Shalini on 6 Apr 2012
Commented: Samuel Suakye on 6 Jun 2017
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

Jonathan Sullivan on 6 Apr 2012
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Shalini on 6 Apr 2012
Do you mean:
yy = smooth(y)
where; yy is the smoothed vector? And, y is the dependent variable (of the curve) that needs to be given?

Richard Willey on 6 Apr 2012
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.
Taymaz Tek on 9 Jun 2012

Sean de Wolski on 9 Apr 2012
doc smooth
Samuel Suakye on 6 Jun 2017
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