Moving Average and Fast Fourier Transform

There are two methods available for smoothing: Moving Average and Fast Fourier transform.

• The Moving Average function calculates an average sensor value over a window of data using the Box Size parameter. The window is defined as a number of data points or seconds centred on a point. The average value for all of the values in the window is calculated and will be given to the central point.

• The Fast Fourier option performs a low-pass filter on the selected sensor. You select a Box Size in either points or seconds. This value is converted into seconds and then inverted to become the cut-off frequency. Increasing the Box Size results in greater smoothing.