INSTRUMENTAL VARIABLE APPROACH TO MINIMUM-VARIANCE SEISMIC DECONVOLUTION.

Kollias Stefanos, D; Halkias Christos, C

dc.contributor.author	Kollias Stefanos, D	en
dc.contributor.author	Halkias Christos, C	en
dc.date.accessioned	2014-03-01T01:06:23Z
dc.date.available	2014-03-01T01:06:23Z
dc.date.issued	1985	en
dc.identifier.issn	0196-2892	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9347
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0022152951&partnerID=40&md5=f1d53f2846dcdd6a8ab622b6c05571b2	en
dc.subject.classification	Geochemistry & Geophysics	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Remote Sensing	en
dc.subject.other	SIGNAL PROCESSING - Digital Techniques	en
dc.subject.other	ARMA PROCESSES	en
dc.subject.other	DECONVOLUTION	en
dc.subject.other	SEISMIC INVERSE PROBLEMS	en
dc.subject.other	SEISMIC WAVES	en
dc.title	INSTRUMENTAL VARIABLE APPROACH TO MINIMUM-VARIANCE SEISMIC DECONVOLUTION.	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1985	en
heal.abstract	A new method is proposed for sequential parameter estimation and deconvolution of seismic signals. An online algorithm of the instrumental variables method is appropriately combined for this purpose with a fixed-lag version of minimum-variance seismic deconvolution. A consistency and an accuracy analysis of the proposed algorithm are presented, using a special type of instrumental variables method. The performance of the method is examined in the cases of nonminimum phase or slowly time-varying seismic wavelets. The results are illustrated by simulation studies using examples already studied in the literature.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Transactions on Geoscience and Remote Sensing	en
dc.identifier.isi	ISI:A1985AUB1700001	en
dc.identifier.volume	GE-23	en
dc.identifier.issue	6	en
dc.identifier.spage	778	en
dc.identifier.epage	788	en