We present in this paper the digital filtering methods of sea-level data, and the results acquired thereupon. By using monthly mean data to be filtered and to be eliminated the regular annual variation, the influence of the periodic factors on sea-level data has been apparently eliminated. This method, which has been repeatedly proved to be successful by the results shown, could eventually enable us to obtain the information of premonitary symptoms of macroseism.
Digital filtering of the data of sea-level survey
Digitalfilterung von Meereshoehen-Ueberblicksdaten
Proc. of a Multinat. Instrumentation Conf. '83 Miconex ; 1 ; 289-295
1983
7 Seiten, 3 Bilder, 1 Tabelle, 5 Quellen
Conference paper
English
Digital spectral analysis and filtering of dynamic data
AIAA | 1975
|Ordnance Survey Digital Data for Navigation
Online Contents | 1993
|Ordnance Survey digital data for navigation
Automotive engineering | 1992
|Dynamic Digital Holographic Wavelength Filtering
British Library Online Contents | 1998
|