Selecting a windowing function
A window is a time-domain weighting function applied to the input signal. A
window is a filter used to remove signals that are not periodic (and therefore
spurious) within the input time record. Depending on the window, the analyzer
attenuates certain parts of the input time record, to prevent leakage—a
smearing of energy across the frequency spectrum—caused by transforming
signals that are not periodic within the time record.
The Agilent 35670A has several window types available. Each window offers
particular advantages. Because each window type produces different
measurement results (just how different depends on the characteristics of the
input signal and how you trigger on it), you should carefully select a window
type appropriate for the measurement you are trying to make.
To learn about the analyzer’s windowing function, see online help or Agilent
Technologies, Inc. Application Note 243 (available from your local
Agilent Sales/Service Office). Additional information is also available in the
accessory Agilent 35288,
DSA Concept Documentation.
Specify the triggering and averaging parameters
Triggering tells the analyzer to begin collecting data. For some measurements,
averaging lets you discriminate between random events (noise, for example)
and components that are actually part of the signal you want to characterize.
Agilent 35670A
Setting Up a Measurement Operator's Guide
Part I-12
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