自適應(yīng)提升小波算法研究與實(shí)現(xiàn).pdf

1、哈爾濱工程大學(xué)碩士學(xué)位論文自適應(yīng)提升小波算法研究與實(shí)現(xiàn)姓名：劉柏森申請(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：畢曉君20070301，哈爾濱工程大學(xué)碩士學(xué)位論文ABSTRACTWaveletanalysishasattractedmanyresearchers’mentionsinrecenttwentyyearsItbecomesoneoftheimportanttoolsinsignalanalysisfieldsAsthese

2、condgenerationwaveletwiththespecialalgorithmstructure，theliftingwaveletisproposedforimpmvmgtheoperationspeedoftraditionalwaveletandreducingthememoryrequirememItisalsofitforadaptive，nonlinearandintegertointegertransformso

3、itbecomesaresearchhotspotintheinformationsciencefieldInthetraditionalwavelettransformbecalL辯thewaveletfilterandcoefficientisfixed，anditCallnotchangebytheinputsignalsAsaresultwhenthediscontinuoussignalisanalyzeditwillprod

4、ucealotofbigwaveletcoefficientsinthesharptransitionsIntheimageprocessing50meimageshavesharpedges，smoothoroddityinpartsandtherearcsomelettersinthemWhenweBsetraditionalwaveletanalyzingtheseimagestheprocessingeffectsarevery

5、badTosolvethisproblemwiththeadvantageofthelifting，theadaptivewavelettransformsvialiftingisproposedInthetransformupdatefilterisselectedbythesignalscharacterPerfectreconstructionispossiblewithomanyoverheadcost1kgoalofselec

6、tingupdatefilteristoholdtheedge’SdefinitionandsmallwaveletcoefficientsTomakesurethesystem’SstabilityintheliftingschemeofadaptivewaveletupdatestepisplacedbeforepredictionstepInthis矗鋤eworkpredictionstepdoesntaffectupdatest

7、epsoitwill：notaffectthenexttransformAndtheconditionisappliedfortheadaptivebytheframeworkTheAdaptivewavelettransformsvialiRingisbenefitfortheimagecompressioIl’becauseofthehighstabilitythesmallcoefficientsofhighfrequencypa

8、rts，andtheperfectreconstructionWil量ItheadaptivewavelettransformsvialiftingandtheSPIHTtheimagecompressionisrealizedinthispapef’andtheresultispleasantTovalidatethepraeticabilityofthisalgorithmthealgorithmissimulatedinthela