APPLICATION OF CLEAN ALGORITHM IN INCOMPLETE MICROTREMORS RECORDINGS

PDF
Published: Jan 1, 2004
DOI: https://doi.org/10.12681/bgsg.16471
G. Hloupis
Department of Natural Resources and Environment, Technological Educational Institute of Crete; Department of Electronic and Computer Engineering, Brunei University of London
M. Moisidi
Department of Natural Resources and Environment, Technological Educational Institute of Crete
F. Vallianatos
Department of Natural Resources and Environment, Technological Educational Institute of Crete; Center for Technological Research of Crete, Institute of Natural Resources and Natural Hazards
J. P. Makris
Department of Natural Resources and Environment, Technological Educational Institute of Crete; Center for Technological Research of Crete, Institute of Natural Resources and Natural Hazards
J. Stonham
Department of Electronic and Computer Engineering, Brunei University of London
D. Triantis
Department of Electronics, Technological Educational Institute of Athens
Abstract

The reconstruction of gapped microtremors recordings with the aid of CLEAN algorithm, which originally developed for spectral analysis of unevenly spaced time series, is studied. As proved in previous relative studies the algorithm has the ability to "clean" the spectrum of a discrete signal from artifacts and additionally (through an Inverse DFT) to reconstruct the signal in time domain. We studied the algorithm's effectiveness of reconstruction in microtremors recordings. We saw that for continuous gap with length up to 10% of the total length of microtremor recording, the algorithm was able to reconstruct efficiently.

Article Details
  • Section
  • Geophysics
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution Non-Commercial License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g. post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (preferably in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

Downloads
Download data is not yet available.
References
Baisch, S., Bokelmann, G.,1999, "Spectral analysis with incomplete time series: an example from seismology", Computer and Geosciences, 25, pp.739-750
Bour, M.,Fouissac, D., Dominique, P., Martin, C.,1996, On the use of microtremor recording in seismic microzonation. Soil Dynamics and Earthquake Engineering, vol.17, issue 7-8, pp.465-474
Ding, Y., Li, Z., Diwu, Y., 1999, The CLEAN method of spectral analysis and its application to the oscillations of the cataclysmic variable TT Ariets", Chinese Astronomy and Astrophysics, 23 , pp.484-492
Giampiccolo, E., Gresta, S., Mucciarelli, M., de Guidi, G., Gallipoli, M., 2001, Information on subsoil geological structure in the city of Catania from microtremors measurements. Annali di Geofisica, Vol.44, N.1
Gitterman. Y., Zaslavsky, Y., Shapira, Α., Shtivelman, V., 1996, Empirical site response evaluations: case studies in Israel. Soil Dynamics and Earthquake Engineering, vol.15, pp.447-463
Mucciarelli, M., 1998, Reliability and applicability of Nakamura's technique using microtremors: an experimental approach, Journal of Earthquake Engineering, Vol.2, No.4, pp.625-638.
Nakamura, Y.„ 1989, A method for dynamic characteristics estimation of subsurface using microtremor on the ground surface, Rep. Railway Tech. Inst. Jpn, 30, 1, pp.25-33.
Nogoshi, M., 1978, On fundamental nature of microtremors and its application. J.Min. Coll. Akita Univ. Jpn, Ser.A5 3, pp.1-51
Roberts, D., Lehar, J., Dreher, J., 1987, Time series analysis with CLEAN. I: Derivation of a spectrum, Astronomical Journal, 93 (4), pp.968-989
Most read articles by the same author(s)