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Sometimes one (or both) of the signals has a lot of dropouts, which can mess with the correlation fit. If that's the case, we can institute a standard deviation filter that filters out anything outside of n (default is 3) standard deviations from the mean of both signals (or only the one if we're using A vs Time).
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