Statistical approaches to detecting transient signals in GPS: Results from the 2009-2011 transient detection exercise

Seismological Research Letters

Volumn 84, Issue 3, 2013, Pages 444-454

  Granat, Robert ^a   Parker, Jay ^a   Kedar, Sharon ^a   Dong, Danan ^b   Tang, Benyang ^a   Bock, Yehuda ^c  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b EAST CHINA NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTION METHOD; GPS; SIGNAL PROCESSING; STATISTICAL ANALYSIS;

EID: 84878116379     PISSN: 08950695     EISSN: 19382057     Source Type: Journal    
DOI: 10.1785/0220130039     Document Type: Article

References (46)

1. Agnew, D. C. (2013). Realistic simulations of geodetic network data: The Fakenet package, Seismol. Res. Lett. 84, no. 3, 426-432.
2. Ahern, T., C. Meertens, F. Boler, R. Casey, S. Stromme, Y. Bock, M. Scharber, and R. King (2002). Access to GPS and seismic data: Current activities within UNAVCO and IRIS and their potential role in EarthScope, in AGU Fall Meeting Abstracts, Vol. 1, 0010.
3. Bellegarda, J., and L. Nahamoo (1990). Tied mixture continuous parameter modeling for speech recognition, IEEE Trans. Acoust. Speech Signal Process. 38, no. 12, 2033-2045.
4. Bocchieri, E., and B.Mak (2001). Subspace distribution clustering hidden Markov model, IEEE Trans. on Speech and Audio Proc. 9, no. 3, 264-275.
5. Bock,Y., D. Agnew, P. Fang, J. Genrich, B.Hager,T. Herring, K. Hudnut, R. King, S. Larsen, J. Minster et al. (1993). Detection of crustal deformation from the Landers earthquake sequence using continuous geodetic measurements, Nature 361, no. 6410, 337-340.
6. Bock, Y., B. Crowell, L. Prawirodirdjo, P. Jamason, R.-J. Chang, P. Fang, M. Squibb, M. E. Pierce, X. Gao, F. H. Webb, S. Kedar, R. Granat, J. W. Parker, and D. Dong (2008). Modeling and on-the-fly solutions for solid earth sciences: Web services and data portal for earthquake early warning system, in IEEE Int. Geosci. Remote Sens. Symp. IGARSS 2008, Vol. 4, IV-124.
7. Botev, Z., J. Grotowski, and D. Kroese (2010). Kernel density estimation via diffusion, Ann. Stat. 38, no. 5, 2916-2957.
8. Dempster, A. D., N. M. Laird, and D. B. Rubin (1977). Maximum likelihood from incomplete data via the EM algorithm, J. Roy. Stat. Soc. B-39, 1-37.
9. Dong, D., P. Fang, Y. Bock, F. Webb, L. Prawirodirdjo, S. Kedar, and P. Jamason (2006). Spatiotemporal filtering using principal component analysis and Karhunen-Loeve expansion approaches for regional GPS network analysis, J. Geophys. Res. 111, no. B3, B03405.
10. Donnellan, A., and G. Lyzenga (1998). GPS observations of fault afterslip and upper crustal deformation following the Northridge earthquake, J. Geophys. Res. 103, no. B9, 21285-21,297.
11. Donnellan, A., J. Parker, and G. Peltzer (2002). Combined GPS and InSAR models of postseismic deformation from the Northridge earthquake, Pure Appl. Geophys. 159, no. 10, 2261-2270.
12. Donnellan, A., J. Rundle, G. Fox, D. McLeod, L. Grant, T. Tullis, M. Pierce, J. Parker, G. Lyzenga, R. Granat, and M. Glasscoe (2007). Quakesim and the solid earth research virtual observatory, in Computational Earthquake Physics: Simulations, Analysis and Infrastructure, Part II, Springer, 2263-2279.
13. Ephraim, Y., A. Dembo, and L. Rabiner (1989). A minimum discrimination information approach for hidden Markov modeling, IEEE Trans. Inform. Theor. 35, no. 5, 1001-1013.
14. Farago, A., and G. Lugosi (1989). An algorithm to find the global optimum of left-to-right hidden Markov model parameters, Probl. Contr. Inform. Theor. 18, no. 6, 435-444.
15. Granat, R., G. Aydin, M. Pierce, Z. Qi, and Y. Bock (2007). Analysis of streaming GPS measurements of surface displacement through a web services environment, in IEEE Symp. Comput. Intell. Data Min., CIDM 2007, 750-757.
16. Heki, K., S. Miyazaki, and H. Tsuji (1997). Silent fault slip following an interplate thrust earthquake at the Japan trench, Nature 386, no. 6625, 595-598.
17. Hirose, H., K. Hirahara, F. Kimata, N. Fujii, and S. Miyazaki (1999). A slow thrust slip event following the two 1996 Hyuganada earthquakes beneath the Bungo Channel, southwest Japan, Geophys. Res. Lett. 26, no. 21, 3237-3240.
18. Hudnut, K. W., Y. Bock, J. E. Galetzka, F. H. Webb, and W. H. Young (1999). The Southern California integrated GPS network (SCIGN), in Proc. Int. Workshop Seismotectonics Subduction Zone, NIED, Y. Fujinawa (Editor), Tsukuba, Japan, 175-196.
19. Hurst, K., D. Argus, A. Donnellan, M. Heflin, D. Jefferson, G. Lyzenga, J. Parker, M. Smith, F. Webb, and J. Zumberge (2000). The coseismic geodetic signature of the 1999 Hector Mine earthquake, Geophys. Res. Lett. 27, no. 17, 2733-2736.
20. Jamason, P., Y. Bock, P. Fang, B. Gilmore, D. Malveaux, L. Prawirodirdjo, and M. Scharber (2004). SOPAC web site (http://sopac.ucsd.edu), GPS Solutions 8, no. 4, 272-277.
21. Juang, B., and L. Rabiner (1985). Mixture autoregressive hidden Markov models for speech signals, IEEE Trans. Acoust. Speech Signal Process. 33, no. 6, 1404-1413.
22. Juang, B., and L. Rabiner (1991). Hidden Markov models for speech recognition, Technometrics 33, no. 3, 251-272.
23. Koren, Y. (2010). Factor in the neighbors: Scalable and accurate collaborative filtering, ACM Trans. Knowl. Discov. Data 4, no. 1, 1:1-1:24.
24. Krogh, A., M. Brown, I. Mian, K. Sjolander, and D. Haussler (1994). Hidden Markov models in computational biology-applications to protein modeling, J. Mol. Biol. 235, no. 5, 1501-1531.
25. Lee, K. (1990). Context-dependent phonetic hidden Markov models for speaker-independent continuous speech recognition, IEEE Trans. Acoust. Speech Signal Process. 38, no. 4, 599-609.
26. Lee, K., and H. Hon (1989). Speaker-independent phone recognition using hidden Markov models, IEEE Trans. Acoust. Speech Signal Process. 37, no. 11, 1641-1648.
27. Lohman, R., and J. Murray (2013). The SCEC geodetic transient-detection validation exercise, Seismol. Res. Lett. 84, no. 3, 419-425.
28. Lyzenga, G., W. Panero, and A. Donnellan (2000). Influence of anelastic surface layers on postseismic thrust fault deformation, J. Geophys. Res. 105, no. B2, 3151-3157.
29. McGuire, G., F. Wright, and M. Prentice (2000). A bayesian model for detecting past recombination events in DNA multiple alignments, J. Comput. Biol. 7, no. 1-2, 159-170.
30. Melbourne, T., and F. Webb (2002). Precursory transient slip during the 2001 mw = 8:4 Peru earthquake sequence from continuous GPS, Geophys. Res. Lett. 29, no. 21, 2032.
31. Melbourne, T., and F. Webb (2003). Slow but not quite silent, Science 300, no. 5627, 1886-1887.
32. Melbourne, T., F. Webb, J. Stock, and C. Reigber (2002). Rapid postseismic transients in subduction zones from continuous GPS, J. Geophys. Res. B Solid Earth Planets 107, no. B10, 2241.
33. Miller, M., T. Melbourne, D. Johnson, and W. Sumner (2002). Periodic slow earthquakes from the Cascadia subduction zone, Science 295, no. 5564, 2423-2423.
34. Monteleoni, C., G. Schmidt, S. Saroha, and E. Asplund (2011). Tracking climate models, Stat. Anal. Data Min. 4, no. 4, 372-392.
35. Okada,Y. (1985). Surface deformation due to shear and tensile faults in a half-space, Bull. Seismol. Soc. Am. 75, no. 4, 1135-1154.
36. Pang, Y., Y. Yuan, and X. Li (2008). Gabor-based region covariance matrices for face recognition, IEEE Trans. Circuits and Syst. Video Technol. 18, no. 7, 989-993.
37. Parker, J. (2000). Analysis and modeling of southern California deformation, in The 2nd ACES workshop, Tokyo, Japan, 12 September 2000.
38. Polikar, R. (2006). Ensemble based systems in decision making, IEEE Circ. Syst. Mag. 6, no. 3, 21-45.
39. Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery (1992). Numerical Recipes in C: The Art of Scientific Computing, 2nd Ed., Cambridge University Press, New York, NY, U.S.A, 993 pp.
40. Rabiner, L. R. (1989). A tutorial on hidden Markov models and selected applications in speech recognition, Proc. IEEE 77, no. 2, 257-286.
41. Rogers, G., and H. Dragert (2003). Episodic tremor and slip on the Cascadia subduction zone: The chatter of silent slip, Science 300, no. 5627, 1942-1943.
42. Roweis, S. (1998). EM algorithms for PCA and SPCA, in Advances in Neural Information Processing Systems, 626-632.
43. Simons, M.,Y. Fialko, and L. Rivera (2002). Coseismic deformation from the 1999 mw 7.1 Hector Mine, California, earthquake as inferred from InSAR and GPS observations, Bull. Seismol. Soc. Am. 92, no. 4, 1390-1402.
44. Tuzel, O. (2007). Human detection via classification on Riemannian manifolds, in IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn., 1-8.
45. Tuzel, O., F. Porikli, and P. Meer (2008). Pedestrian detection via classification on Riemannian manifolds, IEEE Trans. Pattern Anal. Mach. Intell. 30, no. 10, 1713-1727.
46. Young, S., and P. Woodland (1994). State clustering in hidden Markov model-based continuous speech recognition, Comput. Speech Lang. 8, no. 4, 369-383.