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Operator's Manual
WP700Zi-OM-E-RevA
490
Partial erasure and hard/easy transition shift (due to DC erase) creates separate correlation
echo peaks which, depending on the pattern used, may be close to the adjacent transition
nlts
echo and interfere. It is important to pick a good PRS.
ACSN
#Pattern Repetitions
nlts Standard Deviation
26 dB
2
0.44 %
10 0.28
%
25 0.20
%
23 dB
2
0.59 %
10 0.32
%
25 0.26
%
20 dB
2
0.65 %
10 0.42
%
25 0.28
%
17 dB
2
1.08 %
10 0.57
%
25 0.35
%
Waveform Attribute
Bit Cell Location
Delay (%)
Adjacent Location
25.5
20.08%
2nd Adjacent Location
-30.5
-24.02%
Initial Magnetization
45.5
35.83%
Interaction Interference
-60.5
-47.64%
Noise Parameters
Disk noise parameters enable parameter measurements of media signal-to-noise (msnr), residual (electronics)
signal-to-noise (rsnr), and the ratio of media to residual signal-to-noise (m_to_r). The calculation of all three
parameters is based on the distribution of the averaged Viterbi input samples.
x
msnr
can be applied to any single-frequency, sector-based data pattern. The single-frequency data will be
sampled at the peaks (maxima), zero crossings, and troughs (minima). Any deviations from the ideal
sample points will be a result of noise. By performing multiple reads, random noise can be averaged away.
With this measurement, the repeating media noise level can be derived by msnr.
x
rsnr
can be applied to any single-frequency, sector-based data pattern. The single-frequency data will be
sampled at the peaks (maxima), zero-crossings, and troughs (minima). Any deviations from the ideal
sample points will be a result of noise. By performing multiple reads, random noise can be quantified. With
this measurement, the non-repeating residual (electronics) noise level can be derived by rsnr.
x
m_to_r
can be applied to any single-frequency, sector-based data pattern. The m
x
snr is compared with the rsnr. The resulting ratio indicates whether the signal is dominated by media noise
if it is greater than 1.00, or dominated by residual (electronics) noise if less than 1.00.
Note:
Although the math on the following pages is simplified by assuming a large number of sweeps, inside the
DDA it calculates what the final value should be from 2 or more sweeps. The value will become more stable as
more sweeps are taken, but its mean should not change. Therefore, a large number of sweeps is not required
for unbiased values.
Содержание DDA 7 Zi series
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