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    Designs a Savitzky-Golay FIR smoothing filter, returning the designed Savitzky-Golay filter coefficients and the differentiation filter coefficients.

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    compute differentiation filters?

    A Boolean that determines whether the node calculates the differentiation filters.

    TRUE The node calculates the differentiation filters.
    FALSE The node does not calculate the differentiation filters.

    Default: TRUE

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    side points

    The number of data points to each side of the current data point to use for the least squares minimization. side points*2 + 1 is the length of the moving window, which must be greater than the polynomial order.

    Default: 6

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    polynomial order

    Order of the polynomial.

    Default: 3

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    weight

    Weighting vector to use in the least squares minimization. This array must be empty or have a length of side points*2+1.

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    savitzky-golay filters

    An n-by-n matrix with rows representing the FIR filter coefficients, where n is side points*2+1.

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    differentiation filters

    An m-by-n matrix where the p-th row is the differentiation filter for the p-th order derivative, where m is polynomial order+1, and n is side points*2+1.

    This node computes differentiation filters only if compute differentiation filters? is TRUE.

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    error

    A value that represents any error or warning that occurs when this node executes.