Period estimation in astronomical time series using slotted correntropya

IEEE Signal Processing Letters

Volumn 18, Issue 6, 2011, Pages 371-374

  Huijse, Pablo ^a   Estévez, Pablo A ^a   Zegers, Pablo ^b   Príncipe, Joś C ^c   Protopapas, Pavlos ^d,e  

^a UNIVERSITY OF CHILE   (Chile)

^b UNIVERSIDAD DE LOS ANDES   (Chile)

^c UNIVERSITY OF FLORIDA   (United States)

^d IACS   (United States)

^e HARVARD UNIVERSITY   (United States)

Author keywords

Correntropy; information theory; spectral analysis; time series analysis; variable stars

Indexed keywords

CORRENTROPY; CORRENTROPY SPECTRAL DENSITIES; LIGHT CURVES; LOMB-SCARGLE PERIODOGRAM; PERIOD ESTIMATION; SPECTRAL ANALYSIS; TIME LAG; UNEVENLY SAMPLED; VARIABLE STARS;

ESTIMATION; INFORMATION THEORY; REGRESSION ANALYSIS; SPECTRAL DENSITY; STARS; TIME SERIES;

TIME SERIES ANALYSIS;

EID: 79955509398     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2011.2141987     Document Type: Article

References (16)

1. C. Alcock et al., "The MACHO project: Microlensing results from 5.7 years of LMC observations," Astrophys. J., vol. 542, pp. 281-307, 2000.
2. A. Udalski, M. Kubiak, and M. Szymanski, "Optical gravitational lensing experiment. OGLE-2-The second phase of the OGLE project," Acta Astron., vol. 47, pp. 319-344, 1997. (Pubitemid 127777736)
3. N. Kaiser et al., "Pan-STARRS: A large synoptic survey telescope array," in Soc. Photo-Optical Instrum. Eng. (SPIE) Conf. Ser., 2002, vol. 4836, pp. 154-164.
4. M. Petit, Variable Stars. New York: Wiley, 1987.
5. J. Debosscher, L. M. Sarro, C. Aerts, J. Cuypers, B. Vandenbussche, R. Garrido, and E. Solano, "Automated supervised classification of variable stars. I. Methodology," Astron. Astrophys., vol. 475, pp. 1159-1183, 2007. (Pubitemid 350190715)
6. G. Wachman, R. Khardon, P. Protopapas, and C. Alcock, "Kernels for periodic time series arising in astronomy," in Proc. Eur. Conf. Machine Learning, 2009, vol. 5782, pp. 489-505.
7. D.M. Popper, "Stellar masses," Annu. Rev. Astron. Astrophys., vol. 18, pp. 115-164, 1968.
8. W. T.Mayo, "A discussion of limitations and extentions of power spectrum estimation with burst-counter LDV systems," in Proc. Second Int. Workshop on Laser Velocimetry, 1974, pp. 90-104.
9. N. R. Lomb, "Least-squares frequency analysis of unequally spaced data," Astrophys. Space Sci., vol. 39, pp. 447-462, 1976.
10. J. D. Scargle, "Studies in astronomical time series analysis. II. Statistical aspects of spectral analysis of unevenly spaced data," Astrophys. J., vol. 263, pp. 835-853, 1982.
11. A. Schwarzenberg-Czerny, "On the advantage of using analysis of variance for period search," Monthly Notices of the Royal Astron. Soc. (MNRAS), vol. 241, pp. 153-165, 1989.
12. D. Clarke, "String/rope length methods using the Lafler-Kinman statistic," Astron. Astrophys., vol. 386, pp. 763-774, 2002. (Pubitemid 34434873)
13. J. C. Principe, Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives. New York: Springer Verlag, 2010.
14. I. Santamaría, P. P. Pokharel, and J. C. Principe, "Generalized correlation function: Definition, properties, and application to blind equalization," IEEE Trans. Signal Process., vol. 54, pp. 2187-2197, 2006. (Pubitemid 43811412)
15. J. D. Hartman et al., "Deep MMT transit survey of the open cluster M37. II. Variable stars," The Astrophysical Journal, vol. 675, pp. 1254-1277, 2008.
16. P. Reegen, "SigSpec I. frequency- and phase-resolved significance in Fourier space," Astronomy & Astrophysics, vol. 467, pp. 1353-1371, 2007. (Pubitemid 46878339)