In this subsection we will focus on the evaluation of the PSD (Power Spectral Density) for a given time-series signal. The functionality is provided by a method of the ao class called psd, which implements the Welch method of averaging modified periodograms (also referred to as WOSA). More details can found in the dedicated section of the user manual.

In this tutorial, we propose the following exercises based on the estimation of the psd of suitable time-series data:

  1. Simply PSD: a very basic starting exercise
  2. Windowing data: introducing the usage of segment averaging/windwing/detrending
  3. MDC1 data: a "realistic" example from he first Mock Data Challenge
  4. Log-scale PSD: revising the previous exercises employing the log-scale PSD estimation method