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简介：Recentlytherehavebeenresearchesaboutnewefficientnonlinearfilteringtechniques[1]~[3]inwhichthenonlinearfiltersgeneralizeelegantlytononlinearsystemswithouttheburdensomelinearizationsteps.Thus,truncationerrorsduetolinearizationcanbecompensated.ThesefiltersincludetheunscentedKalmanfilter(UKF),thecentraldifferencefilter(CDF)andthedivideddifferencefilter(DDF),andtheyarealsocalledSigmaPointFilters(SPFs)inaunifiedway[4].Forhigherorderapproximationofthenonlinearfunction.ItoandXiong[6]introducedanalgorithmcalledtheGaussHermiteFilter,whichisrevisitedin[5].TheGaussHermiteFiltergivesbetterapproximationattheexpenseofhighercomputationburden,althoughit’slessthantheparticlefilter.TheGaussHermiteFilterisusedasintroducedin[5]withadditionalpruningstepbyaddingthresholdfortheweightstoreducethequadraturepoints.

简介：Responseofadaptivematchedfilter,alsocalledadaptivecorrelator,tomultipathchannelisdiscussedinthispaper.Ithasbeenprovedthatthenewtypeprocessorcanbettermatchwithmultipathchan-nel.Theresultsofexperimentcarriedoutonlakeandinlaboratoryarepresented.Itshowsthattheprocessorhasgooddetectingperformanceintimedomain.

简介：AnewmethodofunscentedextendedKalmanfilter(UEKF)fornonlinearsystemispresented.ThisnewmethodisacombinationoftheunscentedtransformationandtheextendedKalmanfilter(EKF).TheextendedKalmanfilterissimilartothatinaconventionalEKF.However,ineveryrunningstepoftheEKFtheunscentedtransformationisrunning,thedeterministicsampleiscaughtbyunscentedtransformation,thenposteriormeanofnonlinearityiscaughtbypropagating,buttheposteriorcovarianceofnonlinearityiscaughtbylinearizing.TheaccuracyofnewmethodisalittlebetterthanthatoftheunscentedKalmanfilter(UKF),however,thecomputationaltimeoftheUEKFismuchlessthanthatoftheUKF.

简介：新表面声学的波浪微分quadraphase换档键(锯DQPSK)扩频(SS)信号匹配滤波器基于SS和微分调制的熔化被报导。多相的编码的锯匹配滤波器的设计被建议而非锯DQPSK的另一个图案过滤，它能在锯DQPSK匹配滤波器的延迟时间的一半切并且看见了固定延迟线(软式磁碟机为微分解调使用了。这突破被成为系统大部分容易很减少一种尺寸和过程。当调整阶段数字比4大时，这个方法能也特别在另外的SAWMPSK匹配滤波器设计是可行的。设计例子和它的试验性的结果被给。

简介：Anarrowbandtunableantireflectionopticalfilterisproposedandnumericallystudied.Thestructureisametasurfacebasedonplasmonicnanoparticlesonanelectro-opticfilminathree-layerconfigurationofmetaldielectric-metal（MDM）inthevisiblenear-infraredrange.BytuningthevoltageandthustuningtherefractiveindexofthedielectricLiNbO3,onecanshiftthewavelengthofminimumreflectionasdesired.Theparametersofgoldnanoparticlesandotherelementsusedforthefilterdesignandrefractiveindexofthedielectricareobtainedbythefinite-elementmethod（FEM）.AnanalyticaltheoryispresentedtoexplaintheFEMsimulationresults,andtheyagreewellwitheachother.ItisfoundthatthefrequencyoftheplasmonicresonancewaveonthemetasurfaceshouldbeequaltothatoftheFabry–PerotresonatorformedbytheMDMtohaveagoodfilteringproperty.TheoreticalspectraobtainedbyFEMsimulationshowthatthestructurehasextensivepotentialforthedesignoftunablenarrow-bandfiltersformodulators,displayers,andcolorextractionforimaging.

简介：研究被做克服在一条航道与一艘轮船的自动驾驶系统联系的传统的问题。一艘轮船有波浪骚乱的动态模型被造；一个波浪过滤器借助于一个扩大状态观察员(ESO)被设计。模型从有颜色的噪音贿赂的出发大小估计了低频率运动部件，因此前后的驾驶由高频率波浪骚乱引起了被避免。同时，一个柔韧的自动驾驶仪系统，由可变结构控制理论设计了，被介绍。在波浪过滤器工作很好的危险的海地位表演完成的模拟结果；自动驾驶仪有强壮的坚韧性到环境骚乱；模型不安，；更重要地，rudder调整的频率显著地被减少。

简介：微地形学;小地貌是影响分开，运输，和流量的侵蚀过程的高地区域的一个重要表面特征。然而，很少量的信息都不关于在微地形学和沉积产出的表面之间的关系是可得到的。实验室降雨模拟研究被进行为四不同侵蚀决定易受影响的土壤在微地形学和沉积各在0.75h持续时间和60公里h^-1紧张的一系列6～8暴风雨期间产出的表面的变化。选择的土壤是Grenada的Ap材料sil(GlossicFragiudalfs)，Atwoodsil(TypicPaleudalfs)，和Forestdalesicl(TypicOchraqualfs)，以及C材料，Glauconitic沉积，Rustonsil(TypicPaleudalfs)。土壤床与一个像苗床的表面条件在斜槽被准备。在所有前并且在每暴风雨以后，表面微地形学用激光microreliefmeter被决定。微地形学;小地貌，以吝啬的本地地志的坡度，和流量数据表示了在四土壤之中显示一个很类似的模式。沉积集中的开始快速的增加，它快速到达了最大值然后逐渐地减少了到一个近的常数在暴风雨系列的结束珍视的数据表演。沉积产量仔细由于近经常的流量率跟随了沉积集中趋势。微地形学在第一暴风雨期间，但是然后很快改变了的表面减少了对为大多数在顺序的以后的暴风雨的近似经常的价值更渐渐。在沉积yield-microtopography关系中的三个不同阶段被认出：(1)preponding分阶段执行，(2)增加池溏的沉积产量分阶段执行的一根柱子，并且(3)一根柱子减少池溏的沉积收益阶段。这些阶段在粗糙驱散，小河发展，和土壤表面的土壤侵蚀过程的相对重要性反映变化矩阵稳定。

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简介：Anoveladaptiveswitchingfilter(ASF)basedondirectionaldetectionisproposedfordenoisingtheimagesthatarehighlycorruptedbyimpulsenoise.Theproposedalgorithmemploysanefficientnoisedetectionmechanism.Itfirstemploysanefficientmethodtoestimatethedifferencesbetweenthecurrentpixelanditsneighborsalignedwith28directions.Thecurrentnoisepixelisreplacedbyamedianorameanvaluewithinanadaptivefilterwindowwithrespecttodifferentnoisedensities.Experimentalresultsshowthattheproposedapproachcannotonlyachieveverylowmiss-detectionratioandfalse-alarmratioevenuptohighnoisecorruption,butalsopreservethedetailedinformationofanimageverywell.

简介：Amethodforfabricationofultravioletinducetransmission(IT)filterbyvisiblelightcontrolinanordinaryvacuumispresented.Manufacturingprinciplesandtechniquesaredisscussed.MeasuredspectraltransmittancecurvesofmakingultravioletITfilterbythismethodaregiven.

简介：为了解决粒子退化现象并且同时避免，取样贫穷，这份报纸为一般大小写基于好采样算法建议了一个改进粒子过滤器，与好采样(PF-FR)作为粒子过滤器打电话。由介绍比较距离的过程并且基于优化联合计划产生新粒子，因此，PF-FR过滤器以粒子系统的有效性和差异两个都比通用采样重要性采样粒子过滤器(PF先生)更好表现在nonlinear/non-Gaussian的状态的显然改善的评价精确性当模特儿。模拟显示建议PF-FR算法能维持粒子的差异并且因此与粒子的更少的数字完成一样的评价精确性。因而，PF-FR过滤器是在非线性的州的评价的应用的一种竞争选择。

简介：Theestimationofclutterpolarizationissignificantinvirtualpolarizationfiltering.ThispaperproposesvariablestepsizeLeastMeanSquareerror(LMS)algorithmtoestimateclutterpo-larization.Theadaptiverecursivefunctionissetupbasedondoublepolarizationreceivingsignalmodel.Bychoosingdesiredresponsesignalproperly,thereceiveddataareestimated.TheresultofestimationisusedforNullPhase-ShiftinstantaneousPolarizationFilter(NPSPF)designandtarget’samplitudeandphasecompensation.Algorithm’strackingperformanceisdiscussedindetail.Thesimulationresultsareconsistentwiththeaboveanalysis,andthecluttersuppressioniseffective.

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简介：一个新估计方法被建议，它利用unscentedtransform方法，因此，真平均数和协变性更精确地被接近。没有为EKF必要的linearization进程，新方法能被用于非线性的系统，并且它不要求噪音的Gaussian分布并且什么“s更多的，它实现和更精确的评价特征的容易使它能在卫星轨道模拟的实验表明它的好性能。数字实验证明unscentedKalman过滤器的申请比EKF更有效。

简介：Non-intrusivemethodsforeyetrackingareimportantformanyapplicationsofvision-basedhumancomputerinteraction.However,duetothehighnonlinearityofeyemotion,howtoensuretherobustnessofexternalinterferenceandaccuracyofeyetrackingposetheprimaryobstacletotheintegrationofeyemovementsintotoday'sinterfaces.Inthispaper,wepresentastrongtrackingunscentedKalmanfilter(ST-UKF)algorithm,aimingtoovercomethedifficultyinnonlineareyetracking.IntheproposedST-UKF,theSuboptimalfadingfactorofstrongtrackingfilteringisintroducedtoimproverobustnessandaccuracyofeyetracking.ComparedwiththerelatedKalmanfilterforeyetracking,theproposedST-UKFhaspotentialadvantagesinrobustnessandtrackingaccuracy.Thelastexperimentalresultsshowthevalidityofourmethodforeyetrackingunderrealisticconditions.

简介：这份报纸论述一个粒子有联机特征选择机制的基于过滤器的视觉追踪方法。在基于颜色的粒子过滤器算法，粒子的重量总是不正确地代表重要性，这目标基于粒子追踪过滤的原因可以收敛到目标的一个本地区域。在我们的建议视觉追踪的方法，在目标和背景之间的Bhattacharyya距离和本地辨别被用来定义粒子的重量，它能解决存在本地集中问题。实验证明建议方法能不仅在追踪过程的单个目标而且在追踪过程的多重类似的目标工作很好。

简介：Usingtheextremedifferenceofself-similarityandkurtosisatlargelevelscaleofwavelettransformapproximationbetweenthePTFM(PulseTrainsofFrequencyModulated)signalsanditsreverberation,afeature-basedmatchedfiltermethodusingtheclassify-before-detectparagriamisproposedtoimprovethedetectionperformanceinreverberationandmultipathenvironments.Processingthedataoflake-trailsshowedthattheprocessinggainoftheproposedmethodisbiggerthanthatofmatchedfilterabout10dB.Inmultipathenvironments,detectionperformanceofmatchedfilterbecomebadlypoorer,whilethatoftheproposedmethodisimprovedbetter.Itshowsthatthemethodismuchmorerobustwiththeeffectofmultipath.