Classical data analysis requires computational efforts that become intractable in the age of Big Data. An essential task time series is extraction physically meaningful information from a noisy series. One algorithm devised for this very purpose singular spectrum decomposition (SSD), an adaptive method allows narrow-banded components non-stationary and non-linear The main bottleneck value (SVD)...