34410A/11A User’s Guide 107
Measurement Tutorial 4
Estimating High–Frequency (Out–of–Band) Error
A common way to describe signal waveshapes is to refer to their “Crest 
Factor”. Crest factor is the ratio of the peak value to RMS value of a 
waveform. For a pulse train, for example, the crest factor is approximately 
equal to the square root of the inverse of the duty cycle. 
Notice that crest factor is a composite parameter, dependent upon the 
pulse–width and repetition frequency; crest factor alone is not enough to 
characterize the frequency content of a signal.
Traditionally, DMMs include a crest factor derating table that applies at all 
frequencies. The measurement algorithm used in the 34410A/11A 
multimeters is not inherently sensitive to crest factor, so no such derating 
is necessary. With this multimeter, as discussed in the previous section, 
the focal issue is high–frequency signal content which exceeds the 
multimeter’s bandwidth.
For periodic signals, the combination of crest factor and repetition rate 
can suggest the amount of high–frequency content and associated 
measurement error. We know that the first zero crossing of a simple pulse
occurs at  ,  so we can get an immediate impression of the 
 
high–frequency content by identifying where this crossing occurs as a 
function of crest factor:
The following table shows the typical error for various pulse waveforms as 
a function of input pulse frequency:
Typical Error, for Sqare wave, Triangular wave, and a pulse train of CF=3, 5, or 10
prf square wave triangle wave CF=3  CF=5 CF=10
200
–0.02% 0.00% –0.04% –0.09% –0.34%
1000
–0.07% 0.00% –0.18% –0.44% –1.71%
2000
–0.14% 0.00% –0.34% –0.88% –3.52%
5000
–0.34% 0.00% –0.84% –2.29% –8.34%
10000
–0.68% 0.00% –1.75% –4.94% –26.00%
20000
–1.28% 0.00% –3.07% –8.20% –45.70%
50000
–3.41%  –0.04% –6.75% –32.0% –65.30%
100000
–5.10%  –0.12% –21.8% –50.6% –75.40%
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