Smoothing is a method of reducing the noise within a data set. Curve Fitting Toolbox™ allows you to smooth data using methods such as moving average, Savitzky-Golay filter and Lowess models or by fitting a smoothing spline.
Smooth data interactively using the Curve Fitting app or at the
command line using the
smooth function. For an
example showing how to smooth data, see Fit Smooth Surfaces To Investigate Fuel Efficiency.
|Curve Fitting||Fit curves and surfaces to data|
|Exclude data from fit|
|Fit curve or surface to data|
|Fit type for curve and surface fitting|
|Create or modify fit options object|
|Get fit options structure property names and values|
|Assign values in fit options structure|
|Smooth response data|
|Prepare data inputs for curve fitting|
|Prepare data inputs for surface fitting|
Fit smoothing splines in Curve Fitting app or with
fit function to create a smooth curve through
data and specify the smoothness.
Fit smooth surfaces to your data in Curve Fitting
app or with the
fit function using Lowess models.
smooth function to smooth
response data, using methods for moving average, Savitzky-Golay filters,
and local regression with and without weights and robustness (
This example shows how to use Curve Fitting Toolbox™ to fit a response surface to some automotive data to investigate fuel efficiency.
Nonparametric fitting to create smooth curves or surfaces through your data with interpolants and smoothing splines.