Designs filter coefficients for a smoothing filter. You can use this node to design a moving-average FIR filter or an exponentially-averaging IIR filter.
To implement either an FIR or IIR filter, pass the outputs of this node to IIR Filter.
The type of smoothing filter to design.
Yields forward-only (FIR) coefficients.
Yields first-order IIR coefficients.
Default: moving average
Half-width of the moving-average filter in samples. For a half-width of M, the full width of the moving-average filter is N = 1 + 2M samples. Therefore, the full width N is always an odd number of samples.
The shape of the moving-average filter.
Applies a rectangular moving-average filter to the samples. All samples in the moving-average window are weighted equally in computing each smoothed output sample.
Applies a triangular moving-average filter to the samples. The peak is centered in the middle of the moving-average window, ramping down symmetrically on both sides of the center sample.
Time constant of the exponential-weighting filter in seconds.
Sampling frequency in samples per second.
The reverse, or feedback, coefficients of an IIR filter.
The forward coefficients of an IIR filter.
A value that represents any error or warning that occurs when this node executes.