Searching for signal in noise by random-lag singular spectrum analysis

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 astrophysica l applications. The motivating problem is the detection of low-amplitude so lar oscillations.