Table Of Contents

Fitting Nodes (G Dataflow)

Last Modified: September 22, 2017

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Performs curve fitting on a signal or data set.
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Calculates statistical intervals of a specific curve fitting for a data set.
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Finds the k-dimension linear curve values and the set of k-dimension linear fit coefficients, which describe the k-dimension linear curve that best represents the input data set using the Least Square, Least Absolute Residual, or Bisquare method.
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Determines the best spherical fit on a cloud of points in 3D.
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Calculates three statistical parameters that describe how well a fitted model matches the original data set.
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Determines the set of parameters that best fit the input data set as expressed by a nonlinear function.
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Removes data points that fall outside a given range or within a given index array.
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Uses spline fitting to smooth an input data set.

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