小波在LAMOST光譜處理中的應(yīng)用.pdf

1、北京交通大學(xué)碩士學(xué)位論文小波在LAMOST光譜處理中的應(yīng)用姓名：張懷福申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：信號(hào)與信息處理指導(dǎo)教師：趙瑞珍20071201ABSTRACTLAMOSTwhichisdenotedto“LargeSkyAreaMultiObjectFiberSpectroscopyTelescope”isoneoftheNationalMajorScientificProjectsundertakenbytheChineseAcadem

2、yofScienceLAMOSTwillbetheonethatpossessesthehighestspec舡HinacquiringrateintheworldLAMOSTwillobtainseveraltenthousandsofspectrapernightandthedatavolumewillbeseveralgigabytesItisplannedtoacquiretenmillionsofspectraTherefor

3、e，thispaperintroducestheprocessofLAMOSTobservationanddataprocessingThenbasedonlearningthetheoryofwaveletanalysis，weavailablymake眥ofwavelettothepretreatmentofspectra：denoisingandcontinuumfittingFinallythedifficultissues一w

4、avelengthcalibrationandautomaticclassificationforastronomicalspectraarediscussedThemainworksaredescribedasfollows：1LearningtheprocessofLAMOSTobservationanddataprocessing，thentakingpartindevelopingaseriesofprocedureswhich

5、canprocessagroupofLAMOSTobservationaldataeffectivelyandquickly2AnimprovedautomaticclassificationmethodofcelestialspectraisproposedbasedonwaveletpacketandtheSupportVectorMachines(SVM)WithoutregardingtotheextractionofSpect

6、ralLine，theproposedmethodcaneffectivelyrecognizethespectraofactiveobjectswithunknownred—shiftvaluesandlowSNRfromnon‘a(chǎn)ctiveobjectsExperimentalresultsshowthattheproposedmethodiseffectiveandrobust3Anewmethodofwavelengthcali

7、brationonthebasisofthespectrallinematchingispresentedThroughwavelettransformtogetzero—crossings，weconfirmtheeffectiveintervalscorrespondingwithspectralline，andthenrealizedatacompressiontosignificantlyenhancethedataproces