Curve Fitting Toolbox

Nonparametric Fitting

In some cases, you are not concerned about extracting or interpreting fitted parameters. Instead, you might simply want to draw a smooth curve through your data. Fitting of this type is called nonparametric fitting. The Curve Fitting Toolbox supports these nonparametric fitting methods:

• Interpolants -- Estimate values that lie between known data points.
• Smoothing spline -- Create a smooth curve through the data. You adjust the level of smoothness by varying a parameter that changes the curve from a least squares straight-line approximation to a cubic spline interpolant.

For more information about interpolation, refer to Polynomials and Interpolation and the interp1 function in the MATLAB documentation. For more information about smoothing splines, refer to Tutorial and the csaps function in the Spline Toolbox documentation.

Example: Robust Fit

Interpolants