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1、GEOPHYSICS,VOL.76,NO.3(MAY-JUNE2011);P.V25–V32,8FIGS.10.1190/1.3552706Simultaneousseismicdatadenoisingandreconstructionviamultichannelsingularspectrumanalysis11VicenteOropezaandMauricioSacchiintodifferentdomainsbyusingmethodssuchastheFourierABSTRACTtransform(
2、Sacchietal.,1998;Duijndametal.,1999;LiuandSacchi,2004),theRadontransform(Darche,1990;Tradetal.,Wepresentarankreductionalgorithmthatpermitssi-2002),andthecurvelettransform(HerrmannandHennenfent,multaneousreconstructionandrandomnoiseattenuationof2008).Anotherca
3、tegoryofmethodscaninterpolateregularlyseismicrecords.Webasedourtechniqueonmultichannelsampledtracesusingspatialpredictionfilters(Spitz,1991;singularspectrumanalysis(MSSA).ThetechniqueentailsAbmaandClaerbout,1995;Porsani,1999).Anextensionofpre-organizingspatial
4、dataatagiventemporalfrequencyintoadictionfilterinterpolationtoanirregulardistributionoftracesblockHankelmatrixthatinidealconditionsisamatrixofhasbeenproposedbyNaghizadehandSacchi(2007,2010).Inrankk,wherekisthenumberofplanewavesinthewin-general,mostseismicdatar
5、econstructionmethodsdonotdowofanalysis.Additivenoiseandmissingsampleswilladdresstheinterpolation/reconstructionprobleminthepresenceincreasetherankoftheblockHankelmatrixofthedata.ofnoise.Infact,denoisingandreconstructionareoftenconsid-Consequently,rankreductio
6、nisproposedasameanstoereddifferentproblemsandtreatedwithadiversearsenalofattenuatenoiseandrecovermissingtraces.Wepresentantools.iterativealgorithmthatresemblesseismicdatareconstruc-Theobjectiveofthispaperistopresentmultichannelsingulartionwiththemethodofproje
7、ctionontoconvexsets.Inspectrumanalysis(MSSA)asatoolforsimultaneouslydenois-addition,weproposetoadoptarandomizedsingularvalueingandreconstructingseismicdata.MSSAisadata-drivendecompositiontoacceleratetherankreductionstageofthetechniquethatarisesfromresearchona
8、lternativetoolsforthealgorithm.WeapplyMSSAreconstructiontosyntheticanalysisofmultichanneltimeseries.MSSAisanextensionofexamplesandafielddataset.Syntheticexamplesweresingularspectrumanalysi