Period Estimation in Astronomical Time Series Using Slotted Correntropy

被引：22

作者：

Huijse, Pablo ^{[1
,2
]}

Estevez, Pablo A. ^{[1
,2
]}

Zegers, Pablo ^{[3
]}

Principe, Jose C. ^{[4
]}

Protopapas, Pavlos ^{[5
,6
]}

机构：

[1] Univ Chile, Dept Elect Engn, Santiago, Chile

[2] Univ Chile, Adv Min Technol Ctr, Santiago, Chile

[3] Univ Los Andes, Coll Engn & Appl Sci, Santiago, Chile

[4] Univ Florida, Computat Neuroengn Lab, Gainesville, FL 32601 USA

[5] Sch Engn & Appl Sci, IACS, Cambridge, MA 02138 USA

[6] Harvard Univ, Harvard Smithsonian Ctr Astrophys, Cambridge, MA 02138 USA

来源：

IEEE SIGNAL PROCESSING LETTERS | 2011年 / 18卷 / 06期

关键词：

Correntropy; information theory; spectral analysis; time series analysis; variable stars; VARIABLE-STARS; SPACED DATA; PROJECT; PHASE;

D O I：

10.1109/LSP.2011.2141987

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this letter, we propose a method for period estimation in light curves from periodic variable stars using correntropy. Light curves are astronomical time series of stellar brightness over time, and are characterized as being noisy and unevenly sampled. We propose to use slotted time lags in order to estimate correntropy directly from irregularly sampled time series. A new information theoretic metric is proposed for discriminating among the peaks of the correntropy spectral density. The slotted correntropy method outperformed slotted correlation, string length, VarTools (Lomb-Scargle periodogram and Analysis of Variance), and SigSpec applications on a set of light curves drawn from the MACHO survey.

引用

页码：371 / 374

页数：4

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