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The parallel processing of input parity values produce output parity values comparable with parity values regenerated from the original processed outputs.
Figure 2 summarizes an ABFT technique employing a systematic convolution code to define the parity values.
Number data processing errors are detected by comparing parity values associated with a convolution code.
The ABFT error detection technique relies on the comparison of parity values computed in two ways.
The parity values are determined according to a systematic real convolution code.
The method for detecting errors using parity values is shown in Figure 2. Except for small round-off errors, the two parity values p ̄ u i and p ̄ l i should be equal in the error-free case.
The data processing operations are combined with the parity generating function to provide one set of parity values.
The data processing system is protected through parity values defined by a high-rate real convolution code.
The difference between the parity values, considering a round-off threshold, τ, can be used to detect a error.
The top figure shows a very small difference between the two parity values p ̄ u i and p ̄ l i.
Parity values are the most effective tools used to detect burst errors occurring in the code stream.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com