简介:Large-scaleMIMO(multiple-inputmultiple-output)systemswithnumerouslow-powerantennascanprovidebetterperformanceintermsofspectrumefficiency,powersavingandlinkreliabilitythanconventionalMIMO.Forlarge-scaleMIMO,thereareseveraltechnicalissuesthatneedtobepracticallyaddressed(e.g.,pilotpatterndesignandlow-powertransmissiondesign)andtheoreticallyaddressed(e.g.,capacitybound,channelestimation,andpowerallocationstrategies).Inthispaper,weanalyzethesumrateupperboundoflarge-scaleMIMO,investigateitskeytechnologiesincludingchannelestimation,downlinkprecoding,anduplinkdetection.Wealsopresentsomeperspectivesconcerningnewchannelmodelingapproaches,advanceduserschedulingalgorithms,etc.
简介:Opticalmotioncaptureisanincreasinglypopularanimationtechnique.Inthelastfewyears,plentyofmethodshavebeenproposedforkey-frameextractionofmotioncapturedata,anditisacommonmethodtoextractkey-frameusingquaternion.Here,onemaindifficultyisduetothefactthatpreviousalgorithmsoftenneedtomanuallysetvariousparameters.Inaddition,itisproblematictopredefinetheappropriatethresholdwithoutknowingthedatacontent.Inthispaper,wepresentanoveladaptivethreshold-basedextractionmethod.Key-framecanbefoundaccordingtoquaterniondistance.Weproposeasimpleandefficientalgorithmtoextractkey-framefromamotionsequencebasedonadaptivethreshold.Itisconvenientwithnoneedtopredefineparameterstomeetcertaincompressionratio.Experimentalresultsofmanymotioncaptureswithdifferenttraitsdemonstrategoodperformanceoftheproposedalgorithm.Ourexperimentsshowthatonecantypicallycutdowntheprocessofextractionfromseveralminutestoacoupleofseconds.
简介:现在是信息全球化发展的新时期,各项方针政策的制定都与信息的获得有着越来越密切的联系,对于现阶段地理信息与系统的探寻,最火热的话题当数地理信息三维可视化系统,对这一课题的研究是满足众多行业适应当下发展节奏的需求。在信息管理界,正在迅猛发展着的地理信息系统的研究需要三维可视化手段的加入才能弥补既往研究中存在的一系列与时代发展不相适应的地方。