MATLAB: Smoothing plots from data

plots

im trying to plot some data "smoothed" out. when i use the below code it is still un-smoothed. How do i improve the smoothing?

plot(x1,p7,x1,px,'r','Linesmoothing','on');

Best Answer

Are you sure that you want use anti-aliasing? Linesmoothing is an undocumented feature.

You can use the smooth function to smooth your data:

http://www.mathworks.com/help/curvefit/smoothing-data.html

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MATLAB: Does the INTERP1 function in MATLAB handle complex data with the “cubic” method

This enhancement has been incorporated in Release 2006a (R2006a). For previous product releases, read below for any possible workarounds:

The cubic interpolation algorithm is not intended for complex data and hence does not behave well under certain circumstances when the data is complex. As a workaround, use the spline interpolation instead.

Y_spline = interp1(X,Y,Xi,'spline');
plot(X,abs(Y),'b',Xi,abs(Y_spline),'r')

Alternatively, you can split Y into real and imaginary parts, and then interpolate.

Yr = real(Y);
Yi = imag(Y);
Y_cubic = interp1(X,Yr,Xi,'cubic')+i*interp1(X,Yi,Xi,'cubic');
plot(X,abs(Y),'b',Xi,abs(Y_cubic),'r')

MATLAB: Interpolation method (spline)

From the documentation:

'spline':

‘Spline interpolation using not-a-knot end conditions. The interpolated value at a query point is based on a cubic interpolation of the values at neighboring grid points in each respective dimension.’

It does not appear to be the same as 'cubic'. According to the documentation, 'cubic' is currently the same as 'pchip'.

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MATLAB: Does the INTERP1 function in MATLAB handle complex data with the “cubic” method

MATLAB: Interpolation method (spline)

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