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
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:
- Simply PSD: a very basic starting exercise
- Windowing data: introducing the usage of segment averaging/windwing/detrending
- Log-scale PSD on MDC1 data: a "realistic" example from the first Mock Data Challenge, employing the log-scale PSD estimation method