简介:Inthispaperamodeloftransvcrsalfilterispresentedtostudytheadaptivematchofthetimevariantchannel.Theleastmeansquareerrorfil-teringmethodisusedtoobtaintheweightingcoeffcientsofthefilter.Withthepurposeofspeedinguptheconvergenceoftheiterationequationofadaptivefiltering,anadaptivefactoroftheiterationstepsizeμ_aisderivedinthispaper.Theresultofcomputersimulationshowsthatinthecaseofusingadaptiveμ_a,theconvergencespeedoftheiterationequationisincreased2timesapproximatelyincomparisonwithconstantμ_f.Thestudysuggeststhattheadaptivefilterwithadaptiveμ_a.havetheperformancetofollowthechangeoftime-variantcharacteristicsofthechannel.
简介:这份报纸与滑动模式控制进L1的集成论述一个适应控制计划适应控制建筑学,它提供好追踪表演以及坚韧性againstmatched无常。Slidingmode控制在L1被用作一条适应法律适应控制建筑学,它被看作在估计的状态和真实状态之间的错误动力学的虚拟控制。当维持控制精确性时,在控制法律设计的低通行证的过滤机制在适应法律阻止一个不连续的信号出现在实际控制信号。由把滑动模式控制用作错误动力学的虚拟控制并且介绍低通行证的过滤控制信号,啁啾的效果被消除。在靠近环的适应系统和靠近环的参考书系统之间的性能界限在这份报纸被描绘。数字模拟被提供表明介绍适应控制计划的表演。
简介:Anadaptivealgorithmforsolvinglargenonsymmetriclinearsystemsispresentedinthispaper.ThenewalgorithmcombinespolynomialpreconditioningtechniquewiththeCGNRmethod.Residualpolynomialisusedinthepreconditioningtoestimatetheeigenvaluesofthes.p.d.matrixArA,andtheresidualpolynomialisgeneratedfromseveralstepsofCGNRbyrecurrence.Thealgorithmisadaptiveduringitsimplementation.Therobustnessismaintained,andtheiterationconvergenceisspeededup.Twonumericaltestresultsarealsoreported.
简介:EngineeringChange(EC)managementforaProductLifecycleManagement(PLM)system,includingECdatamodel,ECevaluationandECimplementationispresented.AmethodofdynamicandparallelECevaluationisproposed,whichbreaksanECevaluationtaskintoseveralsubtasks.Suchsubtaskscanbedynamicallyandsimultaneouslyproceeded,disassembledandcommunicatedbydifferentspecialists,andatthesametimeasetofECobjectsiscreated.ThisapproachprovidesflexibleandeffectiveevaluationoftheEC.TheECimplementationfollowedwillfurtherensurethecompletenessandconsistencyofECdata.
简介:ThisarticledescribesalocalerrorestimatorforGlimm'sschemeforhyperbolicsystemsofconservationlawsandusesittoreplacetheusualrandomchoiceinGlimm'sschemebyanoptimalchoice.Asaby-productofthelocalerrorestimator,theprocedureprovidesaglobalerrorestimatorthatisshownnumericallytobeaveryaccurateestimateoftheerrorinL1(R)foralltimes.Althoughthereispartialmathematicalevidencefortheerrorestimatorproposed,atthisstagetheerrorestimatormustbeconsideredad-hoc.Nonetheless,theerrorestimatorissimpletocompute,relativelyinexpensive,withoutadjustableparametersandatleastasaccurateasotherexistingerrorestimators.Numericalexperimentsin1-DforBurgers'equationandforEuler'ssystemareperformedtomeasuretheasymptoticaccuracyoftheresultingschemeandoftheerrorestimator.
简介:ThereisdifficultyfordistinguishingofriverandshadowinSyntheticApertureRadar(SAR)images.AmethodofriversegmentationinSARimagesbasedonwaveletenergyandgradientisproposedinthispaper.Itmainlyincludestwoalgorithms:coarsesegmentationandrefinedsegmen-tation.Firstly,Theriverregionsarecoarselysegmentedbythewaveletenergyfeature,andthenrefinedsegmentedaccuratelybythegradientthresholdwhichisgotadaptively.Theexperimentalresultsshowthevalidityofthemethod,whichprovidesagoodfoundationfortargetsdetectionabovetheriver.
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简介:Oneofthemaindriversforintelligenttransportationsystemsissafety.Adaptivecruisecontrol,asacommonsolutionfortrafficsafety,hasextendedfromradarstocameras.Duetohighmobilityofvehiclesandunevennessofroads,thepicturequalityofcamerashasbeengreatchallengesforcamera-basedadaptivecruisecontrol.Inthispaper,animagedistortioncorrectionalgorithmisaddressed.Ourmethodisbasedonopticalflowtechnologywhichisnormallyappliedinmotionestimationandvideocompressionresearch.Wearethefirsttoattempttoadaptitinimagedistortioncorrection.Twoopticalflowapproaches,theLucas-KanademethodandtheHorn-Schunckmethod,areselectedandcompared.Theprocedureofimagedistortioncorrectionusingtheopticalflowmethodhasbeentestedbybothsynthetictestimagesandcameraimages.TheexperimentalresultsshowthattheLucas-Kanademethodismoresuitableinthecorrectionofimagedistortion.
简介:Responseofadaptivematchedfilter,alsocalledadaptivecorrelator,tomultipathchannelisdiscussedinthispaper.Ithasbeenprovedthatthenewtypeprocessorcanbettermatchwithmultipathchan-nel.Theresultsofexperimentcarriedoutonlakeandinlaboratoryarepresented.Itshowsthattheprocessorhasgooddetectingperformanceintimedomain.
简介:Thispaperdescribestheinverstigationdevotedtoestablishsuitableweightsinafeed-forwardneuralnetworkrealizingthenarrow-bandfilteringmapinthecaseofadaptivelineenhancement(ALE)bytheutilityoftheoptimumcommonlearningratebackpropagation(OCLRBP)algorithm.Itisfoundthatafeed-forwardnetworkwith64linearinputandoutputneurons,and8oddsigmoidneuronsinthehiddenlayer,i.e.an(64→8→64)architecture,couldestablishthespecificinput-outputfunctioninthecaseofrelativelylowsignal-to-noiseradio.Onlyisaninputsignalconsistingofmixedperiodicandbroad-bandcomponentsavailabletothenetworksystem.Afterlearning,boththe"fanning-in-connectionpatterns",eachofwhichconsistsofweightsfanningintoahidden-neuronFromalltheoutputsofinput-neurons,andthe"fanning-out-connectionpatterns",eachofwhichconsistsofweightsfanningoutfromahidden-neurontoalltheinputsofoutput-neurons,aretunedtotheperiodicsignals.Thenonline
简介:SHELLADAPTIVETRIANGULATIONOFTRIMMEDNURBSSURFACEWangHuichengZhangXinfangZhouJiAbstractThepaperpresentsanewapproachfortriangula...
简介:Inacomputationalgrid,jobsmustadapttothedynamicallychangingheterogeneousenvironmentwithanobjectiveofmaintainingthequalityofservice.Inordertoenableadaptiveexecutionofmultiplejobsrunningconcurrentlyinacomputationalgrid,weproposeanintegratedperformance-basedresourcemanagementframeworkthatissupportedbyamulti-agentsystem(MAS).Themulti-agentsysteminitiallyallocatesthejobsontodifferentresourceprovidersbasedonaresourceselectionalgorithm.Later,duringruntime,ifperformanceofanyjobdegradesorqualityofservicecannotbemaintainedforsomereason(resourcefailureoroverloading),themulti-agentsystemassiststhejobtoadapttothesystem.Thispaperfocusesonapartofourframeworkinwhichadaptiveexecutionfacilityissupported.Adaptiveexecutionfacilityisavailedbyreallocationandlocaltuningofjobs.Mobile,aswellasstaticagentsareemployedforthispurpose.Thepaperprovidesasummaryofthedesignandimplementationanddemonstratestheefficiencyoftheframeworkbyconductingexperimentsonalocalgridtestbed.