Wavelet analysis of short range seismic signals for accurate time of arrival estimation in dispersive environments

Thanasopoulos, I; Avaritsiotis, J

dc.contributor.author	Thanasopoulos, I	en
dc.contributor.author	Avaritsiotis, J	en
dc.date.accessioned	2014-03-01T01:37:33Z
dc.date.available	2014-03-01T01:37:33Z
dc.date.issued	2011	en
dc.identifier.issn	1751-8822	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21552
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Dispersive propagation	en
dc.subject.other	Extraction of information	en
dc.subject.other	Haar wavelets	en
dc.subject.other	High noise levels	en
dc.subject.other	Priori knowledge	en
dc.subject.other	Seismic signals	en
dc.subject.other	Source localisation	en
dc.subject.other	Spectral characteristics	en
dc.subject.other	Thresholding techniques	en
dc.subject.other	Time domain	en
dc.subject.other	Time of arrival estimation	en
dc.subject.other	Transient signal	en
dc.subject.other	Wavelet-based methods	en
dc.subject.other	Algorithms	en
dc.subject.other	Computational complexity	en
dc.subject.other	Computer simulation	en
dc.subject.other	Dispersion (waves)	en
dc.subject.other	Seismic waves	en
dc.subject.other	Seismology	en
dc.subject.other	Wavelet analysis	en
dc.subject.other	Time domain analysis	en
dc.title	Wavelet analysis of short range seismic signals for accurate time of arrival estimation in dispersive environments	en
heal.type	journalArticle	en
heal.identifier.primary	10.1049/iet-smt.2010.0137	en
heal.identifier.secondary	http://dx.doi.org/10.1049/iet-smt.2010.0137	en
heal.language	English	en
heal.publicationDate	2011	en
heal.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. © 2011 The Institution of Engineering and Technology.	en
heal.publisher	INST ENGINEERING TECHNOLOGY-IET	en
heal.journalName	IET Science, Measurement and Technology	en
dc.identifier.doi	10.1049/iet-smt.2010.0137	en
dc.identifier.isi	ISI:000292725900002	en
dc.identifier.volume	5	en
dc.identifier.issue	4	en
dc.identifier.spage	125	en
dc.identifier.epage	133	en