SDA Operator’s Manual
•
hist top
histogram top or rightmost of two largest peaks
•
max populate
population of most populated bin in histogram
•
mode
data value of most populated bin in histogram
•
percentile
data value in histogram for which specified `x'% of population is smaller
•
peaks
number of peaks in histogram
•
pop @ x
population of bin for specified horizontal coordinate
•
range
difference between highest and lowest data values
•
total pop
total population in histogram
•
x at peak
x-axis position of specified largest peak
Histogram Peaks
Because the shape of histogram distributions is particularly interesting, additional parameter
measurements are available for analyzing these distributions. They are generally centered
around one of several peak value bins, known, with its associated bins, as a histogram peak.
Example:
In the following figure, a histogram of the voltage value of a five-volt amplitude square
wave is centered on two peak value bins: 0 V and 5 V. The adjacent bins signify variation due to
noise. The graph of the centered bins shows both as peaks.
Determining such peaks is very useful because they indicate dominant values of a signal.
However, signal noise and the use of a high number of bins relative to the number of parameter
values acquired, can give a jagged and spiky histogram, making meaningful peaks hard to
distinguish. The scope analyzes histogram data to identify peaks from background noise and
histogram definition artifacts such as small gaps, which are due to very narrow bins.
Binning and Measurement Accuracy
Histogram bins represent a sub-range of waveform parameter values, or events. The events
represented by a bin may have a value anywhere within its sub-range. However, parameter
measurements of the histogram itself, such as average, assume that all events in a bin have a
single value. The scope uses the center value of each bin's sub-range in all its calculations. The
greater the number of bins used to subdivide a histogram's range, the less the potential deviation
between actual event values and those values assumed in histogram parameter calculations.
SDA-OM-E Rev H
135
Summary of Contents for SDA
Page 1: ...SERIAL DATA ANALYZER OPERATOR S MANUAL December 2007 ...
Page 223: ...SDA Operator s Manual Example 6 SDA OM E Rev H 223 ...
Page 225: ...SDA Operator s Manual SDA OM E Rev H 225 ...
Page 246: ...246 SDA OM E Rev H ...
Page 247: ...SDA Operator s Manual Excel Example 5 Using a Surface Plot SDA OM E Rev H 247 ...
Page 279: ...SDA Operator s Manual Convolving two signals SDA OM E Rev H 279 ...
Page 310: ...The jitter wizard is accessed from the Analysis drop down menu 310 SDA OM E Rev H ...
Page 327: ...SDA Operator s Manual SDA OM E Rev H 327 ...
Page 328: ...328 SDA OM E Rev H ...
Page 394: ...394 SDA OM E Rev H ...