Table Of Contents

Fitting Nodes (G Dataflow)

Version:
    Last Modified: December 4, 2016

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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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    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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