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E.4. Creating a filtered data
Even if the gauge (mirror) contains the full set of data points, this large number of data is not
adequate for analysis. It is then absolutely necessary to filter these data to get a reduced and
representative subset of points for analysis purposes.
The filter reduces the number of points, respect the information and have a frequency adapted
to the needs (i.e. PTA or PA). All these properties are obtained in the same process, based on
a wavelet algorithm, acting as a high pass filter around the pressure breaks and acting as a
low pass filter for the rest of the data.
The filtering process includes a first denoising phase and then a post filtration where the
number of points is reduced according to criteria, versus time and pressure change, adapted to
the objective.
This filter typically divides the number of points by 100 without losing significant information.
 Right-click on the gauge ,
a pop-up menu is displayed.