To find the optimal value of window length in singular spectrum analysis (SSA), we consider the concept of separability between the signal and noise component. The theoretical results confirm that for a wide class of time series, the suitable value of this parameter is median{1, . . . , T } with the series of length T . The theoretical results obtained here coincide with those obtained previously from the empirical point of view.
