Agilent Technologies 89410A Operator's Manual page 147

The [
converge.
cause the adaptation algorithm to become unstable or fluctuate from stable
to unstable. Filter length, points-per-symbol, modulation format, and result
length interact to determine the best value for convergence. Good results
are normally achieved using values between 10
HINT
At the start of your measurement, set the convergence high to quickly shape
the filter. Then decrease the convergence to fine-tune the filter to the optimum
shape.
The equalization filter length ([
equalization filter.
needed to estimate good filter coefficients.
The following parameters affect measurement speed when using adaptive
equalization.
l
l
l
For additional details, see online help for the [
In this example, trace A shows the
frequency response and trace B
shows the impulse response of the
equalization filter. With [eq adapt
run] selected, the traces change
with each measurement as the
analyzer updates the filter
coefficients.
Applying equalization to the measurement
] determines how quickly the old and new filter-coefficients
convergence
Larger values converge faster. Values that are too large can
For multi-path environments, longer filter lengths are
[ result length ]
[ eq filt len ]
[ points/symbol ]
Using Adaptive Equalization (Options AYA and AYH)
-7
and 10
]) affects the number of taps in the
eq filt len
eq filter on/off
-6 .
] softkey.
12-7