4-108 Average Menus
SR785 Dynamic Signal Analyzer
Averaging Type
Select the Averaging Type (weighting). Choose Linear/Fixed Length or
Exponential/Continuous.
The [Start/Reset] key resets the current average and starts a new average. The
[Pause/Cont] key pauses the average in progress. Pressing [Pause/Cont] again will
continue the average from where it was paused.
If the Analyzer Configuration is 'Independent Channels,' each display can have its own
Averaging Type. This entry field can be linked to both displays by using the [Link] key.
Command: FAVT (?) d {, i}
Linear/Fixed Length Weighting
Linear weighting combines N (Number Of Averages) measurements with equal
weighting in either RMS or Vector averaging.
While Linear averaging is in progress, the number of averages completed is shown in the
Horizontal Scale Bar below the graph. When the Number Of Averages has been
completed, the measurement stops and ‘Done’ is displayed along the y-axis of the graph.
If the ‘ Done’ alarm is enabled, an audible alert is also sounded.
When used with peak hold averaging, this weighting mode is known as Fixed Lenth
averaging. This means that a fixed number, N, of measurements are compared to
determing the peak.
Waterfall Storage
If Waterfall Storage is on, the waterfall buffer only stores the completed linear averages,
not each individual measurement. Each time the linear average is done, the result is
stored in the waterfall buffer and the average is reset and started over (instead of
stopping). Each completed average counts as a single waterfall record.
Exponential/Continuous Weighting
Exponential weighting weights new data more than old data. For RMS and Vector
averaging, weighting takes place according to the formula,
Average[N] = (New Data)(1/N) + (Average[N-1])(N-1)/N
where N is the Number Of Averages.
While Exponential averaging is in progress, the number of averages completed is shown
in the Horizontal Scale Bar below the graph. The displayed number stops incrementing at
the Number of Averages while the averaging continues.
Exponential weighting reaches a steady state after approximately 5N measurements.
Once in steady state, further changes in the average are detected only if they last for a
sufficient number of measurements. Make sure that the number of averages is not so
large as to eliminate changes in the data which might be important.
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