Moving Average Smoothing is a powerful tool for reducing noise and clarifying underlying trends in signals or analysis results. It is often used to make subtle patterns more visible and to extract meaningful information from otherwise noisy data.

In SIGVIEW, you can access smoothing through Main Menu: “Signal tools/Moving average smoothing” or with the graphic toolbar button.


How Smoothing Works


Smoothing in SIGVIEW is performed using a weighted central moving average method, which operates similarly to a low-pass filter:


Each point in the signal is replaced with the weighted average of its neighboring points.


The weighting function determines how strongly neighboring points influence the result.


A longer smoothing function (i.e., considering more points) results in a stronger smoothing effect.


This process helps suppress random noise while preserving important trends and features in the signal.


Configuring Smoothing Parameters


When you start the smoothing function, a configuration dialog appears, allowing you to:


  • Select the weighting function type (e.g., uniform, triangular, Gaussian)
  • Specify the smoothing length (number of points to average)





If you want SIGVIEW to automatically apply smoothing to each FFT result after its calculation, enable smoothing in Spectral analysis defaults.


You can change the smoothing parameters for a smoothing window if you open the Edit/Properties menu option from its context menu.