
Viewing and Analyzing Results
64 PSO-200
Using Pattern Masks
Using Pattern Masks
You can display masks on graphs to test signal quality and perform a quick
pass/fail verification of signal compliance to applicable standards. Masks
are used to determine whether a sampling point fits in the normal pattern
or not; points considered “in error” can optionally be highlighted in red.
There are three available mask types, as illustrated below:
Intensity mask: consists of upper and lower zones and a center
polygon. Data points and transition points inside these areas are
considered as errors.
Constellation mask: consists of a circular area around each symbol.
Data points outside the circle are considered as errors.
EVM mask: consists of a single polygon area. Data points and transition
points inside the polygon are considered as errors.
Eye EVM maskEye intensity maskConstellation mask
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