Title :
Seismic data processing via homomorphic filtering
Author_Institution :
Dept. of Electr. Eng., West Virginia Tech, WV, USA
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;
Conference_Titel :
System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on
Conference_Location :
Tuscaloosa, AL
Print_ISBN :
0-8186-3560-6
DOI :
10.1109/SSST.1993.522827
