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

被引：23

作者：

Varadi, F ^{[1
]}

Pap, JM

Ulrich, RK

Bertello, L

Henney, CJ

机构：

[1] Univ Calif Los Angeles, Dept Phys & Astron, Div Astron, Los Angeles, CA 90095 USA

[2] Univ Calif Los Angeles, Inst Geophys & Planetary Phys, Los Angeles, CA 90095 USA

来源：

ASTROPHYSICAL JOURNAL | 1999年 / 526卷 / 02期

关键词：

methods : data analysis; Sun : oscillations;

D O I：

10.1086/308028

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

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.

引用

页码：1052 / 1061

页数：10

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