In statistics, scaled correlation is a form of a coefficient of correlation applicable to data that have a temporal component such as time series. If the signals have multiple components (slow and fast), scaled coefficient of correlation can be computed only for the fast components of the signals, ignoring the contributions of the slow components. This  filtering-like operation has the advantages of not having to make assumptions about the sinusoidal nature of the signals.