User guide

Q Low Level Std.Dev
The Q Low Level Standard Deviation is the σ (Sigma), calculated from the linear
regression curve for the low level data:
s
= -
1
B
Q Low Level Nr. Points
This is the number of data points used for the calculation of the Q Low Level
value. It depends on the setting of the BER Threshold and also on the setting
of the Min BER for Q parameter.
The minimum for calculating Q-factor values is two points. It is recommended
to include more than 5 points.
Q Low Level R^2
See the definition of "Q High Level R^2".
Unavailable Values
Under certain circumstances, some numerical results are not available. This is
indicated by <invalid> or <not applicable> in the numerical results table below
the measurement graphic.
<invalid>indicates that the value could not be calculated. This is the case, for
example, for phase margin, when the BER threshold is set to high values and
does not intersect with the bathtub curve.
<not applicable> indicates that the value could be calculated, however is not
shown because quality criteria are not met. This is the case, for example, for
RJ/DJ results, when the r^2 value of one or both edges is <0.75. Even though
RJ/DJ values can be calculated in this case, they are not shown because
confidence in the results is too low.
Understanding the Q-Factor Results
The variable decision threshold method used by the Output Levels measurement
makes it possible to determine the Q-factor of a signal.
N O T E
The Q-factor method and the related calculations have been published under Margin
Measurements in Optical Amplifier Systems by Neal S. Bergano, F. W. Kerfoot, and
C. R. Davidson in IEEE Photonics Technology Letters, Vol. 5, No. 3, March 1993.
6 Advanced Analysis
282 Agilent J-BERT N4903B High-Performance Serial BERT