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Abstract
The "Linear extraction" post run processing tool
is very convenient to reduce the file size by reducing
the number of experimental points without loosing any information.
Although it is possible to decide to minimise the size file by taking
one point out of ten for instance, one can easily imagine that peak
information may be lost.
With the "Linear extraction" intelligent filter, you can control
in four dimensions (time, potential, current and coulombs) the filtering
process.
Whenever your experiment generates a file above 10 thousand of points
you will benefit from the "Linear extraction" filtering them down
to a reasonable few hundreds points file.
Example:
Select one large curve such here this 3599 points
cyclic voltammetry

Select [Processing\Linear extraction]

You will come to this dialogue box where you can for instance select
20 ľA and 20 mV as the criterions for filtering the data. To get
access to this filtering level, deselect the "sampling rate".

Then validate your choice

To save this filtered file, press on the little "diskette" icon
and give it the name you want to. Once you have saved it you can
overlay the filtered data on the original curve to check that everything
is OK.

This intelligent filter extracts a point if the variations in i,
E, t and/or Q between this point and the previous extracted point
are higher than a pre-defined criterion. Increasing the filter criterion
decreases the number of points of the curve extract.
Conclusion
The "extract" function is useful to minimise
the size of your archive files and also to select part of the curve.
The "Auto Linear extraction" tool can automate this filtering action
within your sequence just after the acquisition of the experimental
curve.

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