Can I control the number of output points in a smoothing spline fit?

I am using the 'fit' function in matlab to simultaneously smooth and interpolate a noisy data set I have.

Specifically, I want to use the smoothing spline fit that can be accessed through the curve fitting tool app.

I need to be able to choose the number of output points in the fit so I can match it up with a corresponding measurement I took that has a higher data sampling rate.

To clarify, my noisy data set I want to smooth/interpolate points for has 300 points, and my corresponding measurement has many 1000's of data points.

Is there a simple way to do this? I don't see options to control the # of output points in the documentation.

Here is my code:

[xData, yData] = prepareCurveData( pixStrain_index, 
pixStrain_strain );

% Set up fittype and options.
ft = fittype( 'smoothingspline' );
opts = fitoptions( 'Method', 'SmoothingSpline' );
opts.SmoothingParam = 0.0571743604633104;

% Fit model to data.
[fitresult, gof] = fit( xData, yData, ft, opts );

% Plot fit with data.
figure( 'Name', 'SmoothingSpline' );
h = plot( fitresult, xData, yData );
'SmoothingSpline', 'Location', 'NorthEast' );

h = findobj(gca,'Type','line')
y =get(h,'Ydata') %strain
x =get(h,'Xdata') %index

pixStrain_index_interp = x{1, 1}
pixStrain_interp = y{1,1}

The number of points in pixStrain_interp is 1265, I need it to be something like 30,000 points.

[madhan ravi]

Can you upload your code?

[Jenna Wardini]

Hi Madhan, I just pasted it under my question. I think this is not how you're supposed to do it but it is my first time posting so still getting the hang of things.