000004554 001__ 4554
000004554 005__ 20141118192705.0
000004554 0177_ $$2doi$$a10.3850/978-981-07-2219-7_P294

000004554 0247_ $$210.3850/978-981-07-2219-7_P294
$$adoi
000004554 04107 $$aeng
000004554 046__ $$k2012-05-23
000004554 100__ $$aMin, Lei
000004554 24500 $$aSymplectic Geometry Spectrum of the El Salvador Earthquake(2001) Signals

000004554 24630 $$n5.$$pProceedings of the 5th Asian-Pacific Symposium on Structural Reliability and its Applications
000004554 260__ $$bResearch Publishing, No:83 Genting Lane, #08-01, Genting Building, 349568 SINGAPORE
000004554 506__ $$arestricted
000004554 520__ $$2eng$$aEarthquake records are complex, nonstationary time series. This paper uses a new method of symplectic geometry spectrum (SGS) to analyze the EI Salvador Earthquake(2001) signals. The SGS is the eigenvalues based on symplectic similar transform which is nonlinear and has measure preserving characteristic. Theoretically, the SGS method can keep the natural properties of the raw signals. In this paper, we illustrate this method to give the symplectic geometry spectrum of the original earthquake signal and its surrogate data. By comparing the symplectic geometry spectrum of the raw earthquake time series with those of the 39 sets of surrogate data, the results show that the earthquake time series is not from random but nonlinear deterministic process, even low-dimensional chaotic system.

000004554 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004554 653__ $$aNonlinear time series, Symplectic geometry spectrum, Stochastic process, Chaotic system.

000004554 7112_ $$a5th Asian-Pacific Symposium on Structural Reliability and its Applications$$cSingapore (SG)$$d2012-05-23 / 2012-05-25$$gAPSSRA2012
000004554 720__ $$aMin, Lei$$iGuang, Meng
000004554 8560_ $$ffischerc@itam.cas.cz
000004554 8564_ $$s445019$$uhttps://invenio.itam.cas.cz/record/4554/files/P294.pdf$$yOriginal version of the author's contribution as presented on CD, .
000004554 962__ $$r4180
000004554 980__ $$aPAPER