Title :
Wavelet analysis of short range seismic signals for accurate time of arrival estimation in dispersive environments
Author :
Thanasopoulos, I. ; Avaritsiotis, J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
fDate :
7/1/2011 12:00:00 AM
Abstract :
This study proposes a wavelet-based method for time of arrival estimation for source localisation purposes. The investigated case concerns seismic signals with poor correlation owing to dispersive propagation and high noise level. The Haar wavelet is selected for its low computational complexity and its good locality in time domain which is essential for the analysis of transient signals. The proposed method requires no a priori knowledge about the spectral characteristics of the signals, because the algorithm defines the optimum scales for the extraction of information by time-domain features as the signal is acquired. The performance of the algorithm is evaluated by computer simulations and application on real data for three different thresholding techniques. The results corroborate the suitability of the proposed method for source localisation applications.
Keywords :
Haar transforms; digital simulation; geophysical signal processing; transient analysis; Haar wavelet; arrival time estimation; computer simulations; dispersive environments; short range seismic signals; source localisation purposes; thresholding techniques; transient signal analysis; wavelet analysis;
Journal_Title :
Science, Measurement & Technology, IET
DOI :
10.1049/iet-smt.2010.0137