WAVELET ANALYSIS AS A TOOL TO CHARACTERISE AND REMOVE ENVIRONMENTAL NOISE FROM SELF-POTENTIAL TIME SERIES
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dc.contributor.author | Chianese D. | |
dc.contributor.author | Colangelo G. | |
dc.contributor.author | Lanfredi M. | |
dc.contributor.author | Lapenna V. | |
dc.contributor.author | D'Emilio M. | |
dc.contributor.author | Ragosta M. | |
dc.contributor.author | Macchiato M.F. | |
dc.date.accessioned | 2022-07-11T05:35:38Z | |
dc.date.available | 2022-07-11T05:35:38Z | |
dc.date.issued | 2004 | |
dc.identifier | https://www.elibrary.ru/item.asp?id=31534156 | |
dc.identifier.citation | Annals of Geophysics, 2004, 47, 1, 39-48 | |
dc.identifier.issn | 1593-5213 | |
dc.identifier.uri | https://repository.geologyscience.ru/handle/123456789/38109 | |
dc.description.abstract | Multiresolution wavelet analysis of self-potential signals and rainfall levels is performed for extracting fluctua- tions in electrical signals, which might be addressed to meteorological variability. In the time-scale domain of the wavelet transform, rain data are used as markers to single out those wavelet coefficients of the electric sig- nal which can be considered relevant to the environmental disturbance. Then these coefficients are filtered out and the signal is recovered by anti-transforming the retained coefficients. Such methodological approach might be applied to characterise unwanted environmental noise. It also can be considered as a practical technique to remove noise that can hamper the correct assessment and use of electrical techniques for the monitoring of geo- physical phenomena. | |
dc.subject | elf-potential signals – wavelet analysis | |
dc.title | WAVELET ANALYSIS AS A TOOL TO CHARACTERISE AND REMOVE ENVIRONMENTAL NOISE FROM SELF-POTENTIAL TIME SERIES | |
dc.type | Статья |
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