Improvement of Nakamura technique by singular spectrum analysis |
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| Authors: | Roberto Carniel Fausto Barazza Paolo Pascolo |
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| Institution: | aDipartimento di Georisorse e Territorio, Università di Udine, Italy;bDipartimento di Ingegneria Civile, Università di Udine, Italy |
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| Abstract: | In this work we investigate the application of the Singular Spectrum Analysis to improve Nakamura Technique. The SSA has a wide and multidisciplinary range of applications; it allows a time series to be decomposed into different components, e.g. the signal itself, as well as various noise components, which can be subsequently removed from the data. Removal of the minor component of the data can lead to significant improvements in the identification of the system. In this paper the use of SSA Technique allows to optimize the signal to noise ratio before computing the classical Nakamura spectral ratios. A number of typical applications are also presented. |
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| Keywords: | Singular spectrum analysis Nakamura spectral ratio Site effects De-noising Seismic risk |
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