DocumentCode :
1671886
Title :
Digital algorithms of wave field fan filtration
Author :
Yapparova, E.A. ; Stepanov, D.Yu.
Author_Institution :
Tomsk Polytech. Univ., Russia
fYear :
2002
Firstpage :
178
Lastpage :
180
Abstract :
In the paper the situation will be considered as applied to processing seismic wave fields actuated by explosion sources and registered with seismic detectors being in series on the earth surface or in the bore. Solving of the main problems of processing seismic information (dedication, resolution and estimation of the waves parameters) is based on an increase of signal-to-noise merit. In this case the complexity of geophysical problems is determined by the availability not only of random noise but also intensive interfering events having the properties close to useful waves. Two-dimensional filters carrying out the dedication of the waves towards the specified direction fill an important place. They include space-time directed fan filters. Digital realization of the fan filters in space-time area (by means of convolution. integral or recursion formulas) with great fields, dimensions result in considerable time expenses and requires computer calculations. At the same time the efficiency of these algorithms usage in processing small fields decreases.
Keywords :
convolution; geophysical signal processing; seismic waves; seismology; two-dimensional digital filters; convolution; digital algorithms; digital filters; geophysical problems; seismic wave fields; signal-to-noise merit; space-time directed fan filters; two-dimensional filters; wave field fan filtration; Boring; Detectors; Earth; Explosions; Filters; Filtration; Seismic waves; Signal processing; Signal resolution; Surface waves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modern Technique and Technologies, 2002. MTT 2002. Proceedings of the 8th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists
Print_ISBN :
0-7803-7373-1
Type :
conf
DOI :
10.1109/SPCMTT.2002.1213794
Filename :
1213794
Link To Document :
بازگشت