beautypg.com

Parameter events capture, Zoom traces and segmented waveforms, Histogram peaks – Teledyne LeCroy JTA2 User Manual

Page 28: Jta2 option

background image

JTA2 Option

26

ISSUED: December 2003

JTA2-OM-E Rev A

Parameter Events Capture

The number of events captured per waveform acquisition or display sweep depends on the type
of parameter. Acquisitions are initiated by the occurrence of a trigger event. Sweeps are
equivalent to the waveform captured and displayed on an input channel.

For non-segmented waveforms, an acquisition is identical to a sweep, but for segmented
waveforms an acquisition occurs for each segment and a sweep is equivalent to acquisitions for
all segments. Only the section of a waveform between the parameter cursors is used in the
calculation of parameter values and corresponding histogram events.

The following table provides a summary of the number of Histogram or Trend events captured per
acquisition or sweep for each parameter and for a waveform section between the parameter
cursors.

Parameter

Number of Events Captured

Timing Parameters: p@lv, freq@lv, wid@lv,
∆ p@lv, edge@lv, duty@lv, tie@lv, skew@lv,
setup@lv, hold@lv

Unlimited number of events per acquisition

data

All data values in the region analyzed

duty, freq, period, width

Up to 49 events per acquisition

ampl, area, base, cmean, cmedian, crms,
csdev, cycles, delay, dur, first, last, maximum,
mean, median, minimum, nbph, nbpw, over+,
over-, phase, pkpk, points, rms, sdev,

∆ dly,

∆ t@lv

One event per acquisition

f@level, f80-20%, fall, r@level, r20-80%, rise

Up to 49 events per acquisition

Zoom Traces and Segmented Waveforms

Histograms and Trends of zoom traces display all events for the displayed portion of a waveform
between the parameter cursors. When dealing with segmented waveforms, and when a single
segment is selected, the histogram or trend will be recalculated for all events in the displayed
portion of this segment between the parameter cursors.

Histogram Peaks

Because the shape of histogram distributions is particularly interesting, additional parameter
measurements are available for analyzing these distributions. They are generally centered on one
of several peak value bins, known (with its associated bins) as a histogram peak.