Tektronix MSO 2 Series - Maximum Measurement Algorithm; Mean Measurement Algorithm; Minimum Measurement Algorithm; Negative Overshoot Measurement Algorithm

where s is the sample interval.
Similarly
,
W(t) is the sampled waveform
Ŵ(t) is the continuous function obtained by interpolation of W(t)
A and B are numbers between 0.0 and RecordLength – 1.0
If A and B are integers, then:
where s is the sample interval.
Maximum measurement algorithm
Maximum is the maximum data point. T
ypically the most positive peak voltage.
Mean measurement algorithm
Mean is the arithmetic mean of the data points. Remember that one waveform is not necessarily equal to one cycle. For cyclical data you
may prefer to use the cycle mean rather than the arithmetic mean.
Details of the integration algorithm are given in Integration algorithm on page 256 .
Minimum measurement algorithm
Minimum is the minimum data point. Typically the most negative peak voltage.
Negative Overshoot measurement algorithm
Negative Overshoot is the difference between Minimum and Base, divided by the amplitude. It is the percent that the waveform goes below
base.
Measurement algorithms
2 Series MSO MSO24 and MSO22 257