Uses B-spline fitting to smooth a data set. The input data must be two arrays.
Number of control points that fit to the data set.
number of control points must be greater than degree.
Dependent values. y must contain at least two points.
Independent values. x must be the same size as y.
Weights for the observations.
weight must be the same size as y. weight also must contain non-zero elements. If an element in weight is less than 0, this node uses the absolute value of the element. If you do not wire an input to weight, this node sets all elements of weight to 1.
Error conditions that occur before this node runs. The node responds to this input according to standard error behavior.
Default: No error
Order of polynomials that form the B-spline curve and fit to the data set.
Method that computes the interim knot vector.
|equally spaced||0||Uses the equally-spaced method.|
|chord length||1||Uses the chord length method.|
|centripetal||2||Uses the centripetal method.|
Y-values of the B-Spline curve that best fit the input data set.
X-values of the B-Spline curve that best fit the input data set.
Error information. The node produces this output according to standard error behavior.
Weighted mean square error of the fitted model.
This node calculates best B-Spline fit x and best B-Spline fit y by minimizing the residue according to the following equation:
The standard B-Spline basis functions construct the B-Spline curve (x'i, y'i).
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported