简介:摘要视频数据分析是监控系统中的重要组成部分,监控系统分析视频的第一步是区分对象,第二步是跟踪对象,最后一步是分析对象行为。本文采用改进的MeanShift算法对行人进行跟踪。
简介:ItisshowninthispaperthatahyponormalweightedshiftofnormoneisunitarilyequivalenttoaToeplitzoperatorifandonlyifitsweights{an}0∞satisfy1-丨an丨2=(1-丨a0丨2)n+1n≥0.Inparticular,thisanswerstheAbrahamse’sProblem2.Asaconse-quence,the(surprising)answer,obtainedfirstbyC.C.Coweninanexplicitform,toHalmos’Question5isrecaptured.
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简介:ThereseearchontherelationbetweenweightedshiftoperatorsonHilbertspacesandotherimportantclassofoperatorsattractedtheattentionofsomemathematicians.Forexample,therelationbetweenweightedshiftoperatorsandsubnormaloperatorshasbeenthoroughlystudiedbyJ.Stampfli,R.GellarandD.A.Herrero,etc.(seereference[1])Butthedecomposabilityofweightedshiftoperatorshasnotyetattractedenoughattentionuptonow.Wemadeinitialresearch
简介:肌肉损害在运动仍然是最普通的损害之一,还尽管有这,几乎没有怎么有效地描述或决定特定的肌肉损害的预后到也上的很少一致。肌肉分类的众多的途径并且药分级在最后世纪被使用了,但是在最后十年,历史性的途径的限制被认出了。作为后果,在过去的10年里,临床的研究组开始询问了历史性的途径并且重新考虑肌肉损害被分类并且描述的方法。用一条记事途径,这张手稿描述几次最近的尝试分类并且分级肌肉损害并且加亮每个系统的相对力量和软弱。当时每新分类和分级的系统有力量,几乎在那里不在全面的一个系统和基于的证据上仍然是很少一致。很少在分级的系统以内的当前识别的特征有关联到精确地决定预后。
简介:Theestimationofclutterpolarizationissignificantinvirtualpolarizationfiltering.ThispaperproposesvariablestepsizeLeastMeanSquareerror(LMS)algorithmtoestimateclutterpo-larization.Theadaptiverecursivefunctionissetupbasedondoublepolarizationreceivingsignalmodel.Bychoosingdesiredresponsesignalproperly,thereceiveddataareestimated.TheresultofestimationisusedforNullPhase-ShiftinstantaneousPolarizationFilter(NPSPF)designandtarget’samplitudeandphasecompensation.Algorithm’strackingperformanceisdiscussedindetail.Thesimulationresultsareconsistentwiththeaboveanalysis,andthecluttersuppressioniseffective.
简介:Thepresentpaperdealswiththeaveragecase,complexityoftheshift-invariantproblem.Themainaimistogiveanewproofoftheupperboundofaverageerroroffiniteelementmethod.OurmethodisbasedonthetechniquesproposedbyHeinrich(1990).WealsopointoutanessentialerrorregardingtheproofoftheupperboundinA.G.Werschulz(1991).
简介:Pitchisoneofthemostimportantauditoryperceptioncharacteristicsofsound;however,themechanismunderlyingthepitchperceptionofsoundisunclear.Althoughtheoreticalresearcheshavesuggestedthatperceptionofvirtualpitchisconnectedwithphysicsincochleaofinnerear,thereisnodirectexperimentalobservationofvirtualpitchprocessinginthecochlea.Bylaserinterferometry,weobserveshiftphenomenaofvirtualpitchinbasilarmembranevibrationofexsomatizedcochlea,whichisconsistentwithperceptualpitchshiftobservedinpsychoacousticexperiments.Thismeansthatthecomplexmechanicalvibrationofbasilarmembraneincochleaplaysanimportantroleinpitchinformationprocessingduringhearing.