DocumentCode
3231332
Title
Seismic data processing via homomorphic filtering
Author
Davari, Asad
Author_Institution
Dept. of Electr. Eng., West Virginia Tech, WV, USA
fYear
1993
fDate
7-9 Mar 1993
Firstpage
483
Lastpage
487
Abstract
Homomorphic deconvolution, a filtering technique, is used to analyze real seismic data. It can separate the wavelet from the impulse train which is formed by convolution. For illustration purposes, four different signals, resulting from regional event, quarry blast, local blast, and a marine explosion, respectively, are considered. The complex cepstrum is also used to detect multiple echoes in a signal. The results show the effectiveness of the method
Keywords
cepstral analysis; deconvolution; explosions; filtering theory; geophysical signal processing; seismology; wavelet transforms; complex cepstrum; effectiveness; homomorphic deconvolution; homomorphic filtering; local blast; marine explosion; multiple echoes; quarry blast; real seismic data; regional event; wavelet; Autocorrelation; Band pass filters; Cepstrum; Convolution; Data processing; Deconvolution; Explosions; Filtering; Ice surface; Noise measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on
Conference_Location
Tuscaloosa, AL
ISSN
0094-2898
Print_ISBN
0-8186-3560-6
Type
conf
DOI
10.1109/SSST.1993.522827
Filename
522827
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