多小波在信號奇異性檢測中的應(yīng)用.pdf

1、南開大學(xué)碩士學(xué)位論文多小波在信號奇異性檢測中的應(yīng)用姓名：史玉林申請學(xué)位級別：碩士專業(yè)：測試計量技術(shù)及儀器指導(dǎo)教師：李飛飛20090501AbstractAbstractMulti—waveletanalysisisamathematictoolthathasdevelopedandhastakenshaperecentlywhichhasraisedmuchattentionintechnologyandengineeringfield

2、ssincemultiwaveletanalysisissuperiortoFourieranalysisindealingwithnon—stationarysignalsintime—frequencydomainAsfar嬲thesignalprocessingisconcerned，themultiwaveletismainlyfocusedonthefieldssuchasimagedenoisingandimagefilte

3、retcThereisstilllackofsingularityanalysisbasedonmulti—waveletincivilengineeringwherewearedealingwithproblemswhichhaveacompletelydifferentscale，logisticsandrationaleTherefore，itismeaningfultodosomeresearchanddeveloptheori

4、esinsignalsingularityanalysisbasedonmulti—waveletThethesisstartsfromthereviewsofwaveletdevelopment，evolutionandbaSicprincipleFundamentalconceptandbasictheoryrelatedtowaveletarenarrated，subsequentlythediscussionisfocusedo

5、nseveralcommonlyusedwaveletanalysisfunctions，evenmultiscalingfunctionsandscaleequationsetcwhichisthegroundworkofwaveletanalysisinsignalprocessingInthesecondplace，thispaperexplicitsthefundamentalconceptsandtheoriesrelated

6、tomultiwavelet，whilethedetailedoperationprincipleofmulti—waveletinthefieldofsignalanalysisisincluded，such舔theprefilterprocessofmulti—wavelet，signaldecompositionprocessandsignalreconstructionetcThirdlysignalsingularityana

7、lysisbasedonmultiwaveletisproposedOneisbasedonthewaveletanalysistoidentifythedamagedsignalsInanothermethod，multi—waveletanalysistoidentifysignalsingularityisalsoproposedinthisthesisforthedamagedetectionAttheendofthisdiss

8、ertation，itdiscusseswavelettransformandmultiwavelettransformbymeansofatypicalmechanicalfailureexperiment，andprogrammakingmethodisalsousedintheinsightoftheresearchLaboratorymodeltestsanditstestsdemonstratethatthemultiwave