Autocorrelation partitions the continuous **data** into N short overlapping time windows, and computes N(N-1)/2 normalized CC values between all possible window pairs using Eq. 1. Using a time window length of M = 200 samples (10 s), and τw = 2 samples (0.1 s) as the lag between adjacent time windows (Table S1), we found that N = 6,047,901, which is about 10 times greater than N fp = 604,781. This factor of 10 difference is attributed to the use of a 1 s lag between FAST fingerprints, compared to a 0.1 s lag for autocorrelation.