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Every cluster has its own signal template that differs in the signal supports.
It is also noted that for some real-time applications, signal template sets provided by only one or two PCs is recommended to reduce computational cost.
In Table 9 statistics suggest that supervision of signal template sets of every PC results in at least one 0 correct classification rate, while the fusion gives more comprehensive results.
The conventional approach, which is based on the cross-correlation between the received signal and the local signal template, is widely used in communications as well as positioning systems.
This correlation output can provide significantly higher peak gain due to the use of the virtually extended signal template which consists of the original template and a "dirty template" from data detection results.
In this example, an unrecognized signal pattern of a selected PC adopts eight faulty statuses signal templates for that PC as supervisory signals and applies PC1DARMF algorithm to find its best matching signal template.
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Signals of selected PCs are defined as signal templates.
After signal templates were prepared, we move to build signal patterns derived from testing data.
Figure 7 Set of signal templates for (a) IDV 0) to (h) IDV 7).
Five sets of signal templates for characterizing IDV 8) to IDV(12) are depicted in Figure 8.
This means each fault (including normal operation) is now represented as a number of signal templates.
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