Searching for Signal in Noise by Random-Lag Singular Spectrum Analysis
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.
- Publication:
-
The Astrophysical Journal
- Pub Date:
- December 1999
- DOI:
- 10.1086/308028
- Bibcode:
- 1999ApJ...526.1052V
- Keywords:
-
- METHODS: DATA ANALYSIS;
- SUN: OSCILLATIONS;
- Methods: Data Analysis;
- Sun: Oscillations