on-the-causality-of-linear-filters

Animation illustrating the difference between causal and noncausal filtering

The segment of the input signal used to compute the current output is shown in bold black. As illustrated, causal filtering relies only on past data up to the current time point, whereas noncausal filtering also incorporates future data. Therefore, true prospective forecasting demands causal but not noncausal filters.