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dc.contributor.authorHUANG, KYen_US
dc.contributor.authorLEU, DRen_US
dc.date.accessioned2019-04-02T05:59:13Z-
dc.date.available2019-04-02T05:59:13Z-
dc.date.issued1995-09-01en_US
dc.identifier.issn0016-8033en_US
dc.identifier.urihttp://dx.doi.org/10.1190/1.1443887en_US
dc.identifier.urihttp://hdl.handle.net/11536/149128-
dc.description.abstractSyntactic pattern recognition techniques are applied to the analysis of 1-D seismic traces to classify picker wavelets. Seismic picker wavelets have structural information, and each wavelet can be represented by a string of symbols. To recognize the strings, we use a finite-state automaton to identify each string. The automaton can accept strings having substitution, insertion, and deletion errors of the symbols. There are two attributes, terminal symbol and weight, in each transition of the automaton. A minimum-cost, error-correcting, finite-state automaton is proposed to parse the input string.en_US
dc.language.isoen_USen_US
dc.titleRECOGNITION OF RICKER WAVELETS BY SYNTACTIC ANALYSISen_US
dc.typeArticleen_US
dc.identifier.doi10.1190/1.1443887en_US
dc.identifier.journalGEOPHYSICSen_US
dc.citation.volume60en_US
dc.citation.spage1541en_US
dc.citation.epage1549en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1995RR66900023en_US
dc.citation.woscount0en_US
Appears in Collections:Articles