Searching for Signal in Noise by Random-Lag Singular Spectrum Analysis
Henney, C. J.; Ulrich, R. K.; Bertello, L.; Varadi, F.; Pap, J. M.
United States
Abstract
Singular spectrum analysis, a technique to detect oscillations in short and noisy time series, was first developed for geophysical applications. This work offers a generalization for long and noisy time series in astrophysical applications. The motivating problem is the detection of low-amplitude solar oscillations.