简介：

简介：Apiecewisecubiccurvefittingalgorithmpreservingmonotonicityofthedatawithoutmodificationoftheassignedslopesigproposed.ThealgorithmhasthesameorderofconvergenceasYan’salgorithm[8]andGasparo-Morandi’salgorithm[5]foraccurateorO(hq)accurategivendata,butithasamorevisuallypleasingcurvethanthosetwoalgorithms.WealsodiscusstheconvergenceorderofcubicrationalinterpolationforO(hq)accuratedata.

简介：Theaimofthisinvestigationistostudyhowtouseagravimetric(quasi)geoidforlevellingbyGPSdatainanoptimalway.TheadventofprecisegeodeticGPShasmadetheuseofatechniquepossible,whichmightbecalledGPS-gravimetricgeoiddetermination.Inthisapproach,GPSheightsabovethereferenceellipsoidaredeterminedforpointswhoselevelled(orthometric)heightHisabovesealevelpeoplehavealreadysurveyed;forthesepoints,wethushavethevaluesofthegeoidundulationN.ThesevaluesarethenusedtoconstrainthegeoidundulationsN′obtainedfromthegravimetricsolution.

简介：我们由使用nonstationary多项式试穿(NPF)为地震噪音变细建议一个新奇方法，它能沿着事件与振幅变化估计协调部件。有变化时间的系数的NPF能适应地估计协调部件。多项式系数的光滑被塑造规则化控制。信号沿着在一个普通中点(CMP)的偏移量轴是协调的在正常moveout(NMO)以后的集合。我们使用NPF估计有效信号并且从而稀释随机的噪音。为象地面转动那样的光线的像事件的噪音，我们首先采用光线的踪迹(RT)转变数据到时间速度域的变换。然后，NPF被用来在RT领域估计协调噪音。最后，协调噪音适应地从吵闹的数据集被减去。建议方法能有效地沿着事件与振幅变化估计协调噪音，没有需要建议那个噪音振幅是不变的。结果合成并且域数据例子证明与象静止多项式适合和低切割过滤器那样的常规方法相比，建议方法能有效地压制地震噪音并且保存信号。

简介：Basedonthethermaltomographytechnology,thisthesistriestocalculatequantityanddistributionofheatsourceinvivofrombodysurfacetemperature.AsuperpositiontemperatureimageofanumberofpointheatsourcesissurfacefittedtogettheQofheatsources(informationofcancercells)quantitatively.Theresultcanreflectthediseaseareainformationbecausecancercell'sQvalueismuchhigherthanthatofnormalcell.Thisapplicationisanewtryinthediagnosisofbreastcancer,whichhasanimportantvalueontheearlydetectionanddiagnosisofdiseasesource.

简介：SeveralARMAmodelingapproachesareaddressed.Inthesemethodsonlypartofacorrelationsequenceisemployedforestimatingparameters.Itissatisfying,ifthegivencorrelationsequenceisofrealARMA,sinceanARMAprocesscanbecompletelydeterminedbypartofitscorrelationse-quence.Butforthecaseofameasuredcorrelationsequencethewholesequencemaybeusedtore-ducetheeffectoferroronmodelparameterestimation.Inaddition,thesemethodsnowdonotguar-anteeanonnegativespectralestimate.Inviewoftheabove-mentionedfact,aconstrainedleastsquaresfittingtechniqueisproposedwhichutilizesthewholemeasuredcorrelationsequenceandguar-anteesanonnegativespectralestimate.

简介：Curvemodelingisoneofthebasicworkincomputeraidedgeometricdesignandcomputergraphics.Fortheimplicitconicfittingprobleminthispaper,theresearchmethodsthattheobjectivefunctionbasedontheminimalalgebraicdistanceandgeometricdistancearesummarized.Theadvantagesanddisadvantagesofeverymethodareanalyzedsimply,andtheapplicationsoftheconicfittingarelisted.

简介：AfterreviewingtheanalyticaltheoriesofT-Scurve,somemethodsofT-Srelationship,andfuzzysetsforstudyingwatermasses,newmethodsoffittingthemembershipfunctionofoceanicwatermassesarepresentedbasedonthecharacteristicsofT-Scurvefamilyofoceanicwatermasses.ThemembershipfunctionsofoceanicSubsurfaceWaterMasswithhighsalinityandIntermediateWaterMasswithlowsalinityarefittedanddiscussedusingthenewmethods.Theproposedmethodsareusefulinanalyzingthemixingandmodifyingprocessesofthesewatermasses,especiallyintracingtheirsources.Theprinciplesandformulaeofthenewmethodsandexamplesaregiven.

简介：Therearemanyphenomenathatgeneratepolygonaltessellationsonsurfacesof3Dobjects.Oneinterestingexampleisthejackfruit,amultiplefruitfoundinthetropics.Arecentstudyfoundthebest-fitsphericalVoronoidiagramfromaphotoofjackfruitskin,buttheoptimizationwasrelativetotheradiusofthesphereandtheheightofthespikes.Inthisstudy,weproposeamethodforadjustingthepositionofthecenterofthesphereinadditiontotheseparameters.Experimentswereconductedusingbothidealandrealdata.However,convergencewithrealdatahasnotbeenconfirmedduetorelaxationoftheconvergencecondition.

简介：

简介：拿估计到达的方向被介绍的进报道的在数组元素之中的相互的联合的一个multi-subarraysubspace试穿方法。一致线性数组的相互的联合矩阵与banded被建模对称的Toeplitz矩阵。根据相互的联合矩阵的DOF(自由的度)，在二个方面的数组元素的部分被忽视。精神算法的理论特征，适合算法的subspace之一，被学习。为大N和一致线性数组，MCLS精神评价错误是asymptotically，联合，与零个工具散布的Gaussian，和它的协变性表达式被获得。它从模拟被知道在那里存在当当它的变化有一些增加时，相互的联合不存在时，有为数组元素和信号来源的某些数字的最低评价错误的subarray，和它估计到达的方向的性能接近理想的状况。方法与高分辨率被用于深测术的sidescan声纳，并且好结果被获得了。以增加数组元素的数字的成本，方法能减少在数组元素之中的相互的联合的爱。

简介：Ｒｉｖｅｒｓｗｉｔｈｈｅｔｅｒｏｇｅｎｅｏｕｓｂｅｄｓｅｄｉｍｅｎｔｓｔｙｐｉｃａｌｌｙｓｈｏｗａｓｙｓｔｅｍａｔｉｃｄｏｗｎｓｔｒｅａｍｖａｒｉａｔｉｏｎｉｎｃｈａｒａｃｔｅｒｉｓｔｉｃｇｒａｉｎｓｉｚｅｗｈｅｎｓｕｂｊｅｃｔｅｄｔｏａｇｇｒａｄａｔｉｏｎｏｒｄｅｇｒａｄａｔｉｏｎ．Ｒｅｃｅｎｔｌｙｔｈｅａｕｔｈｏｒｓｒｅｐｏｒｔｅｄｏｎａｄｅｃｏｕｐｌｅｄｎｕｍｅｒｉｃａｌｍｏｄｅｌｂａｓｅｄｏｎｔｈｅａｓｓｕｍｐｔｉｏｎｏｆｎｏｎｕｎｉｆｏｒｍｆｌｏｗｗｈｉｃｈｒｅｐｒｏｄｕｃｅｄｔｈｅｒｅｓｕｌｔｓｏｆａｓｅｔｏｆｅｘｐｅｒｉｍｅｎｔｓｏｎｇｒａｉｎｓｏｒｔｉｎｇ．Ｔｈｅｓａｍｅｅｘｐｅｒｉｍｅｎｔｓｃａｎａｌｓｏｂｅｒｅｐｒｏｄｕｃｅｄｕｓｉｎｇａｎｕｍｅｒｉｃａｌｍｏｄｅｌｆｏｒｗｈｉｃｈｍｕｃｈｏｆｔｈｅｆｌｏｗｄｏｍａｉｎｉｓａｐｐｒｏｘｉｍａｔｅｄａｓｑｕａｓｉｎｏｒｍａｌ．Ｔｈｅｋｅｙｔｏｔｈｉｓｓｉｍｐｌｉｆｉｃａｔｉｏｎｉｓｔｈｅｕｓｅｏｆｓｈｏｃｋｆｉｔｔｉｎｇｔｏｌｏｃａｔｅｔｈｅｄｏｗｎｓｔｒｅａｍｆｒｏｎｔｏｆｇｒａｖｅｌａｇｇｒａｄａｔｉｏｎ．Ｏｎｃｅｔｈｅｓｈｏｃｋｈａ?

简介：Basedontheobserved2-yeartemperaturedataforfourkindsoftypicalurbanunderlyingsurfaces,includingasphalt,cement,barelandandgrassland,theannualvariationsandinfluencingfactorsoflandsurfacetemperatureareanalyzed.Thenfittingequationsforsurfacetemperatureareestablished.Itisshownthattheannualvariationofdailyaverage,maximumandminimumtemperatureanddailytemperaturerangeonthefoururbanunderlyingsurfacesisconsistentwiththechangeinairtemperature.Thedifferenceoftemperatureondifferentunderlyingsurfacesinthesummerhalfyear(MaytoOctober)ismuchmoreevidentthanthatinthewinterhalfyear(DecembertothefollowingApril).Thedailyaverageandmaximumtemperaturesofasphalt,cement,barelandandgrasslandarehigherthanairtemperatureduetotheatmosphericheatinginthedaytime,withthatofasphaltbeingthehighest,followedinturnbycement,barelandandgrassland.Moreover,thedailyaverage,maximumandminimumtemperatureonthefoururbanunderlyingsurfacesarestronglyimpactedbytotalcloudamount,dailyaveragerelativehumidityandsunshinehours.Thelandsurfacecanbecooled(warmed)byincreasedtotalcloudamount(relativehumidity).Thechangesintemperatureonbarelandandgrasslandareinfluencedbyboththetotalcloudamountandthedailyaveragerelativehumidity.Thetemperatureparametersofthefourlandsurfacesaresignificantlycorrelatedwithdailyaverage,maximumandminimumtemperature,sunshinehours,dailyaveragerelativehumidityandtotalcloudamount,respectively.Theanalysisalsoindicatesthattherangeoffittingparameterofalinearregressionequationbetweenthesurfacetemperatureofthefourkindsoftypicallandsurfaceandtheairtemperatureisfrom0.809to0.971,passingtheF-testwithaconfidencelevelof0.99.

简介：AChebyshevfittingwayforapropelleratlasacrossfourquadrantsisdiscussed.Asanexample,Chebyshevpolynomialfittingresultsanditserroranalysisaregiven.Becauseit’sdifficultgenerallytogetapropelleratlasacrossfourquadrants,awayisusedtoconstructanalternativewithhigheraccuracybasedontheproperties.Asanapplicationexample,analternativeforthepropellerpropertyofaDeepSubmergenceVebicleacrossfourquadrantsisgivenpracticallyandasimulationmodelofthe

简介：Basedontheexistingcontinuousboreholestrainobservation,themultiquadricfunctionfittingmethodwasusedtodealwithtimeseriesdata.Theimpactofdifferencekernelfunctionparameterswasdiscussedtoobtainavaluablefittingresult,fromwhichthephysicalconnotationoftheoriginaldataanditspossibleapplicationswereanalyzed.Meanwhile,abriefcomparisonwasmadebetweentheresultsofmultiquadricfunctionfittingandpolynomialfitting.

简介：Inthispaper,wepresentanovelregion-basedactivecontourmodelbasedonglobalin-tensityfittingenergyinavariationallevelsetframework.Meanwhile,aninternalenergytermisin-troduced,anditforcesthelevelsetfunctiontobeclosetoasigneddistancefunction.Imageglobalinformationutilizedefficientlymakestheproposedmodelinsensitivetonoise,andtheintroducedpenaltytermcanavoidthecostlyre-initializationfortheevolvinglevelsetfunction,whichnotonlyspeedsupthecontourevolvement,butalsoimprovesaccuracyofthefinalcontour.Comparisonswithotherclassicalregion-basedmodels,suchasChan-VesemodelandRegion-ScalableFitting(RSF)model,showtheadvantagesofourmodelintermsofefficiencyandaccuracy.Moreover,themodelisrobusttonoise.

简介：Anewapproachisproposedtoaccuratelydeterminethethicknessoffilms,especiallyforultra-thinfilms,throughspectrum-fittingwiththeassistanceofaninterferencelayer.Thedeterminationlimitcanreachevenlessthan1nm.Itsaccuracyisfarbetterthanthatofthetraditionalmethods.Thisdeterminationmethodisverifiedbyexperiments,andthedeterminationlimitisatleast3.5nmcomparedwiththeresultsofatomicforcemicroscope(AFM).Furthermore,adoubleinterference-aidedspectrafittingmethodisproposedtoreducetherequirementsofthedeterminationinstruments,whichthusallowsonetodeterminethefilm’sthicknesswithalow-precisioncommonspectrometerandtogreatlylowerthecost.Itisaveryhigh-precisiondeterminationmethodforon-siteandin-situapplications,especiallyforultra-thinfilms.

简介：Anovelactivecontourmodelisproposed,whichincorporateslocalinformationdistributionsinafuzzyenergyfunctiontoeffectivelydealwiththeintensityinhomogeneity.Moreover,theproposedmodelisconvexwithrespecttothevariablewhichisusedforextractingthecontour.Thismakesthemodelindependentontheinitialconditionandsuitableforanautomaticsegmentation.Furthermore,theenergyfunctionisminimizedinacomputationallyefficientwaybycalculatingthefuzzyenergyalterationsdirectly.Experimentsarecarriedouttoprovetheperformanceoftheproposedmodeloversomeexistingmethods.Theobtainedresultsconfirmtheefficiencyofthemethod.

简介：我们开发领带指数的恰当的方法的三步的明确、含蓄的计划。我们使用三步的明确的指数的适合计划预言近似，然后使用三步的含蓄的指数的适合计划改正这预言。这联合被称为指数的恰当的方法的三步的预言者修正者。指数的恰当的方法的三步的预言者修正者被使用数字地与改变系数计算联合非线性的Schroedinger方程和非线性的Schroedinger方程。数字结果证明计划是高度精确的。

简介：Datafittingisanextensivelyemployedmodelingtoolingeometricdesign.Withtheadventofthebigdataera,thedatasetstobefittedaremadelargerandlarger,leadingtomoreandmoreleast-squaresfittingsystemswithsingularcoefficientmatrices.LSPIA(least-squaresprogressiveiterativeapproximation)isanefficientiterativemethodfortheleast-squaresfitting.However,theconvergenceofLSPIAforthesingularleast-squaresfittingsystemsremainsasanopenproblem.Inthispaper,theauthorsshowedthatLSPIAforthesingularleast-squaresfittingsystemsisconvergent.Moreover,inaspecialcase,LSPIAconvergestotheMoore-Penrose(M-P)pseudo-inversesolutiontotheleast-squaresfittingresultofthedataset.ThispropertymakesLSPIA,aniterativemethodwithcleargeometricmeanings,robustingeometricmodelingapplications.Inaddition,theauthorsdiscussedsomeimplementationdetailofLSPIA,andpresentedanexampletovalidatetheconvergenceofLSPIAforthesingularleast-squaresfittingsystems.