简介:Ageneralprocedureforconstructingmultivariatenon-tensor-productwaveletsthatgen-erateanorthogonaldecompositionofL~2(R~),s≥1,isdescribedandappliedtoyieldexplicitformulasforcompactlysupportedspline-waveletsbasedonthemultiresolutionanalysisofL~2(R~s),1≤s≤3,generatedbyanyboxsplinewhosedirectionsetconstitutesaunimodularmatrix.Inparticular,whenunivariatecardinalB-splinesareconsidered,theminimallysup-portedcardinalspline-waveletsofChuiandWangarerecovered.Arefinedcomputationalschemefortheorthogonalizationofspaceswithcompactlysupportedwaveletsisgiven.Arecursiveapproximationschemefor“truncated”decompositionsequencesisdevelopedandasharperrorboundisincluded.Aconditiononthesymmetryoranti-symmetryofthewaveletsisappliedtoyieldsymmetricbox-splinewavelets.
简介:Inthispaper,weproposetheso-calledcontinuousFresnel-waveletcombinatorialtransformwhichmeansthatthemotherwaveletundergoestheFresneltransformation.Thismotivationcanletthemother-wavelet-stateitselfvaryfrom|ψtoFr,s|ψ,exceptforvariationwithinthefamilyofdilationsandtranslations.TheParseval’sequality,admissibilityconditionandinversetransformofthiscontinuousFresnel-waveletcombinatorialtransformareanalysed.BytakingcertainparametersandusingtheadmissibilityconditionofthiscontinuousFresnel-waveletcombinatorialtransform,weobtainsomemotherwavelets.Acomparisonbetweenthenewlyfoundmotherwaveletsispresented.
简介:ADMISSIBLEWAVELETSASSOCIATEDWITHTHETRANSFORMGROUPONRHEJIANXUNANDPENGLIZHONGAbstract.LetPbethetransformgrouponRn,thenPhasanatu...
简介:在这份报纸,我们构造从周期的功能g放大功能和小浪的二尺寸的周期的interpolatory(x1,x2),其Fourier系数是积极的,并且获得可伸缩的一些性质,工作并且小浪。
简介:TheApplicationsofWaveletsinHierarchicalRepresentationsandSmoothingofCurvesandSurfaces①SunYankuiZhuXinxiongMaLingBeijingUnvier...
简介:PascaltrianglesareformulatedforcomputingthecoefficientsoftheB-splineseriesrepresentationofthecompactlysupportedspline-waveletswithminimumsupportandtheirderivatives.Itisshownthatwiththeal-ternatingsignsremoved,allthesesequencesaretotallypositive.Ontheotherhand,truncationsoftherecipro-calEuler-Frobeniuspolynomialsleadtofinitesequencesfororthogonalwaveletdecompositions.Forthispur-pose,sharpestimatesaregivenintermsoftheexactreconstructionoftheseapproximatedecomposedcompo-nents.
简介:Inthispaper,thecloserelationshipamongwavelettransformandquadraturemirrorfilter(QMF)banksandthescattering-matrixofwavedigitalfilter(WDF)isandlyzedindetail.TheparametrizationoforthonormalcompactlysupportedwaveletbasesthathaveanarbitrarynumberofvanishingmomentisobtainedbybuildinganyQMFpairoutofelementaryfactorsofthescatteringmatrix.Inaddition,theoptimizationofparameterisalsopresented.Ascomparison,Someexamplesaboutorthonormalcompactlysupportedwaveletthathasarbitrarynumberofvanishingmomentandthemostnumberofvanishingmomentaregivenrespectively.Thenwegivetheefficientlatticestructuretoimplementthetransform.
简介:好硅石沙的一张床上的床形式的开始和发展上的试验性的调查与一条分叉的隧道在实验室斜槽在冲积流动条件下面被进行。学习的主要目的是估计:我)在开发的转变阶段的床形式的险峻;并且ii)触发了涟漪开发的开始的小浪(t)的阀值高度。详细的床侧面大小用一根声学的Doppler探针被执行,在在各种各样的试验的沉积床上的穿越的纵预定。床形式尺寸从如此的床侧面记录被提取并且为小浪,转变和平衡阶段分析了。在转变和平衡阶段的涟漪的险峻是类似的,这被发现,证实以前的数学模型模拟的预言。lognormal分布适合小浪长度数据。小浪阀值高度作为t被估计7公里,或y+80以墙单位。如此的高度大小建议涟漪开发能被到达狂暴的边界层的外部流动地区的小浪触发。获得的t价值为床形式尺寸通常对应于在二个预兆的方程之间的交叉点。明确的表达被开发作为沉积谷物尺寸的功能预言t,它为在这研究使用的好沙被证实。
简介:Thispaperpresentsanefficienttechniqueforprocessingof3Dmeshedsurfacesviasphericalwavelets.Morespecifically,aninput3Dmeshisfirstlytransformedintoasphericalvectorsignalbyafastlowdistortionsphericalparameterizationapproachbasedonsymmetryanalysisof3Dmeshes.Thissignalisthensampledonthespherewiththehelpofanadaptivesamplingscheme.Finally,thesampledsignalistransformedintothewaveletdomainaccordingtosphericalwavelettransformwheremany3Dmeshprocessingoperationscanbeimplementedsuchassmoothing,enhancement,compression,andsoon.Ourmaincontributionliesinincorporatingafastlowdistortionsphericalparameterizationapproachandanadaptivesamplingschemeintotheframeforprocessing3Dmeshedsurfacesbysphericalwavelets,whichcanhandlesurfaceswithcomplexshapes.Anumberofexperimentalexamplesdemonstratethatouralgorithmisrobustandefficient.
简介:Thispaperdescribesanovelwavelet-basedapproachtothedetectionofabruptfaultofRotorcraftUnmannedAerialVe-hicle(RUAV)sensorsystem.Byuseofwavelettransformsthataccuratelylocalizethecharacteristicsofasignalbothinthetimeandfrequencydomains,theoccurringinstantsofabnormalstatusofasensorintheoutputsignalcanbeidentifiedbythemulti-scalerepresentationofthesignal.Oncetheinstantsaredetected,thedistributiondifferencesofthesignalenergyonalldecomposedwaveletscalesofthesignalbeforeandaftertheinstantsareusedtoclaimandclassifythesensorfaults.
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简介:ThepurposeofthispaperistoconstructanorthogonalArmletmulti-waveletswithmul-tiplicityranddilationfactora.Firstly,thedefinitionofArmletswithdilationfactoraisproposedinthispaper.BasedontheTwo-scaleSimilarTransform(TST),thenotionofthePara-unitaryA-scaleSimilarTransform(PAST)isintroduced,andwealsogivethetransformonthealltwo-scalematrixsymbolsofthemulti-waveletswithdilationa.ThenweshowthatthePASTandthetransformonthematrixsymbolsofthemulti-waveletskeeptheorthogonalityofthemulti-waveletssystem.Wediscusstheconditionthatmulti-waveletscorrespondingtothemulti-scalingfunctionsareallArmlets.AfterperformingthePASTandthetransformonthematrixsymbolsofthemulti-wavelets,themulti-scalingfunctioncanbebalancedandthecorrespondingmulti-waveletscanbeArmletsatthesametime.TheconstructionofArmletswithhighorderisalsodiscussed.Atlast,byagivenexample,wecanconcludethatthealgorithmisfeasibleandefficient.