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Spline Fitting (nD B-Spline) (G Dataflow)

Version:
    Last Modified: January 9, 2017

    Uses B-spline fitting to smooth a data set. The input data must be a 2D array.

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    number of control points

    Number of control points that fit to the data set.

    number of control points must be greater than degree.

    Default: 10

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    data

    Input data set.

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    weight

    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.

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    error in

    Error conditions that occur before this node runs. The node responds to this input according to standard error behavior.

    Default: No error

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    degree

    Order of polynomials that form the B-spline curve and fit to the data set.

    Default: 3

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    parameter selection

    Method that computes the interim knot vector.

    Name Value Description
    equally spaced 0 Uses the equally-spaced method.
    chord length 1 Uses the chord length method.
    centripetal 2 Uses the centripetal method.

    Default: centripetal

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    best B-Spline fit

    Values of the B-Spline curve that best fit the input data set.

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    error out

    Error information. The node produces this output according to standard error behavior.

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    residue

    Weighted mean square error of the fitted model.

    The following illustration shows a typical B-Spline Fit result.

    Where This Node Can Run:

    Desktop OS: Windows

    FPGA: Not supported


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