简介：Multi-ThresholdCMOS(MTCMOS)isaneffectivetechniqueforcontrollingleakagepowerwithlowdelayoverhead.HoweverthelargemagnitudeofgroundbouncingnoiseinducedbythesleeptoactivemodetransitionmaycausesignalintegrityprobleminMTCMOScircuits.Weproposeamethodologyforreducinggroundbouncingnoiseunderthewake-updelayconstraint.Animprovedtwo-stageparallelpowergatingstructurethatcansuppressthegroundbouncingnoisethroughturnonsetsofsleeptransistorsconsecutivelyisproposed.Thesizeofeachsleeptransistorisoptimizedbyanovelsizingalgorithmbasedonasimpledischargingmodel.Simulationresultsshowthattheproposedtechniquesachieveatleast23%improvementintheproductofthepeakamplitudeofgroundbouncingnoiseandthewake-uptimewhencomparedwithotherexistingtechniques.

简介：Anewnoisereductionmethodbasedonensembleempiricalmodedecomposition(EEMD)isproposedtoimprovethedetectioneffectforfluorescencespectra.Polycyclicaromatichydrocarbons(PAHs)pollutants,asakindofimportantcurrentenvironmentalpollutionsource,arehighlyoncogenic.Usingthefluorescencespectroscopymethod,thePAHspollutantscanbedetected.However,instrumentwillproducenoiseintheexperiment.Weakfluorescentsignalscanbeaffectedbynoise,soweproposeawaytodenoiseandimprovethedetectioneffect.Firstly,weusefluorescencespectrometertodetectPAHstoobtainfluorescencespectra.Subsequently,noisesarereducedbyEEMDalgorithm.Finally,theexperimentresultsshowtheproposedmethodisfeasible.

简介：Theanalyticalexpressionofbiterrorprobabilityinabalanceddifferentialphase-shiftkeying(DPSK)opticalreceiverconsideringnonlinearphasenoiseandEDFAASEnoiseisgiven,whichisveryusefultoestimatetheperformanceofDPSKbalancedandunbalancedreceiverinopticalcommunicationsystem.Throughanalysis,ifonlynonlinearphasenoiseisconsidered,boththebalanceandunbalancedreceivershavethesameperformances.ButifaddingtheASEnoiseofEDFA,thebalancedreceiverisbetter.

简介：Duetothedemandofdataprocessingforpolariceradarinourlaboratory,aCurveletThresholdingNeuralNetwork(TNN)noisereductionmethodisproposed,andanewthresholdfunctionwithinfinite-ordercontinuousderivativeisconstructed.ThemethodisbasedonTNNmodel.InthelearningprocessofTNN,thegradientdescentmethodisadoptedtosolvetheadaptiveoptimalthresholdsofdifferentscalesanddirectionsinCurveletdomain,andtoachieveanoptimalmeansquareerrorperformance.Inthispaper,thespecificimplementationstepsarepresented,andthesuperiorityofthismethodisverifiedbysimulation.Finally,theproposedmethodisusedtoprocesstheiceradardataobtainedduringthe28thChineseNationalAntarcticResearchExpeditionintheregionofZhongshanStation,Antarctica.Experimentalresultsshowthattheproposedmethodcanreducethenoiseeffectively,whilepreservingtheedgeoftheicelayers.

简介：这篇文章介绍一个L1乐队低噪音用0.18m互补金属氧化物半导体技术的综合全球放系统(GPS)接收装置薄片。与双变换一低--如果建筑学被用于这GPS接收装置。接收装置由低噪音放大器(LNA)组成，下面变换混合器，乐队通行证过滤器，收到的信号力量指示物，可变获得放大器，可编程的获得放大器，模数转换器，PLL频率合成器和其它给块调音。接收装置完成105dB和噪音数字的最大的获得不到6dB。可变获得放大器(VGA)和可编程的获得放大器(针网阵列)提供获得控制在50dB上的动态范围。当包括ESDI/O垫占据2.9mm2薄片区域时，接收装置从1.8V供应消费不到160mW。

简介：Blindidentification-blindequalizationforFiniteImpulseResponse(FIR)MultipleInput-MultipleOutput(MIMO)channelscanbereformulatedastheproblemofblindsourcesseparation.Ithasbeenshownthatblindidentificationviadecorrelatingsub-channelsmethodcouldrecovertheinputsources.TheBlindIdentificationviaDecorrelatingSub-channels(BIDS)algorithmfirstconstructsasetofdecorrelators,whichdecorrelatetheoutputsignalsofsubchannels,andthenestimatesthechannelmatrixusingthetransferfunctionsofthedecorrelatorsandfinallyrecoverstheinputsignalusingtheestimatedchannelmatrix.Inthispaper,anewapproximationoftheinputsourceforFIR-MIMOchannelsbasedonthemaximumlikelihoodsourceseparationmethodisproposed.TheproposedmethodoutperformsBIDSinthepresenceofadditivewhiteGaussiannoise.

简介：InviewofthelimitationsofaRn-GnmodelinthelowfrequencyrangeandthedefectsofanEn-Inmodelincommonusenow,thispaperbuildsacompleteEn-Inmodelaccordingtothetheoryofrandomharmonic.Theparametersforthelow-noisedesignsuchastheequivalentinputnoisyvoltageEns,theoptimumsourceimpedanceZsoptandtheminimumnoisefigureFmincanbecalculatedaccuratelybyusingthisEn-Inmodelbecauseitconsidersthecoherencebetweenthenoisesourcesfully.Moreover,thispaperpointsoutthatitwillcausethemaximum30%miscalculationwhenneglectingtheeffectsofthecorrelationcoefficient7.Usingtheseries-seriescircuitsasanexample,thispaperdiscussesthemethodsfortheEn-InnoiseanalysisofelectroniccircuitspreliminarilyanddemonstratesitscorrectnessthroughthecomparisonbetweenthesimulatedandmeasuredresultsoftheminimumnoisefigureFminofasinglecurrentseriesnegativefeedbackcircuit.

简介：Becauseofthezerodispersionwavelength(ZDWL)randomfluctuations,thegainandnoisefiguresdeteriorateinopticalparametricamplifiersbasedonhighlynonlinearfibers(HNLFs).ThedetrimentalroleofZDWLfluctuationsonthegainandnoiseperformanceindual-pumpfiberopticalparametricamplifiers(FOPAs)ispresented.Numericalinvestigationsofnoisefigure(NF)fordifferentfiberswithrandomfluctuationareanalyzed.Thenoisefiguresfordifferentfibersarevaryingeveniftherandomfluctuationissmall.ThroughchoosingHNLFswithlowZDWLfluctuationandlargenonlinearcoefficient,high-gainandlow-noiseperformancecanbeobtained.

简介：Whitenoisedeconvolutionorinputwhitenoiseestimationproblemhasimportantappli-cationbackgroundsinoilseismicexploration,communicationandsignalprocessing.Bythemoderntimeseriesanalysismethod,basedontheAuto-RegressiveMovingAverage(ARMA)innovationmodel,underthelinearminimumvarianceoptimalfusionrules,threeoptimalweightedfusionwhitenoisedeconvolutionestimatorsarepresentedforthemultisensorsystemswithtime-delayedmeasurementsandcoloredmeasurementnoises.Theycanhandletheinputwhitenoisefusedfiltering,predictionandsmoothingproblems.Theaccuracyofthefusersishigherthanthatofeachlocalwhitenoiseestimator.Inordertocomputetheoptimalweights,theformulaofcomputingthelocalestimationerrorcross-covariancesisgiven.AMonteCarlosimulationexampleforthesystemwith3sensorsandtheBernoulli-Gaussianinputwhitenoiseshowstheireffectivenessandperformances.

简介：这篇文章探索短期依赖(SRD)和fractal-binomial-noise-drivenPoissonprocess(FBNDP)产生的自我类似的交通的long-rangedependence(LRD)当模特儿并且在前者上放强调。由模拟，有林中小丘价值和山峰的增加的腐烂的趋势评估的SRD分别地被获得。在自我类似紧张的精确性的全面分析以后，山峰率的最佳的范围被考虑时间费用，自我类似紧张的精确性，和SRD的效果决定。