
7
Method 2
A second example of the striping defect can be seen in the survey below. Noise spikes and striping defects
running from left to right are visible, the latter especially so in the high resistance area to the right. Mean is 57
ohms and standard deviation is 7.5 ohms.
The data can be corrected using the following approach. Firstly, to remove most of the spikes use Despike with
window radii of X=1, Y=1. A second Despike with X=2, Y=2 may help in some cases, as was the case here,
together with use of the Add function to remove stubborn spikes. The results of this operation is shown below.
Secondly, to remove the striping, Low Pass Filter the data set using window radii of X=3, Y=3,
weighting=Gaussian and save that data with a new file name. Reload the despiked data set and High Pass Filter
the data set using window radii of X=10, Y=0 and weighting=Gaussian. This will remove the striping but also
any large scale archaeological or geological background. To restore this, use the Cut and Combine function to
add the earlier saved Low Pass Filtered data set. The result is shown below, together with further despiking.
Содержание MPX15
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Страница 5: ...5 Figure 1 Striping Defect visible in raw and high pass filtered data...