[毕业设计精品]基于labview的虚拟双踪示波器的设计外文翻译

1外文文献ADAQCARDBASEDMIXEDSIGNALVIRTUALOSCMOSCOPEABSTRACTCOMPLEXSIGNALSFINDMANYAPPLICATIONSINSONAR,RADAR，ECHOLOCATIONSYSTEMSANDFORSTUDYINGTHERESONANTFREQUENCIESDIGITALSTORAGEOSCILLOSCOPCSDSOISUSEDTHESEDAYSFORACQUISITIONANDDISPLAYOFROUTINESIGNALSTHISINSTRUMENT,FOUNDINEVERYMEASUREMENTLABORATORY,THOUGHPOTENTINDISPLAYINGSIMPLEPERIODICWAVEFORMSLIKESINUSOIDSFAILSWHENFREQUENCYVARYINGTIMESIGNALSAREAPPLIED,THISPROBLEMSURFACESBECAUSETHEUNDERLYINGTECHNIQUEOFOSCILLOSCOPEUSEDTOTRIGGERTHEWAVEFORMDOESNOTACQUIESCEWITHCOMPLEXSIGNALSLIKECHIRPREADYSOLUTIONTOTHISPROBLEMISTHEMIXEDSIGNALOSCILLOSCOPETHISISACOSTLYSOLUTIONANDSMALLLABORATORIESCANNOTAFFORDTOHAVETHECOSTLYINSTRUMENTSINTHISPAPER,ACOSTEFFECTIVEDAQCARDBASEDMIXEDSIGNALVIRTUAL0SCILLOSCOPEISPROPOSEDTOSTUDYTHECOMPLEXSIGNALSANINTELLIGENTTECHNIQUE,WEIGHTEDHAMMINGDISTANCEWHDALGORITHMWASUSEDTOACCURATELYTRIGGERTHECOMPLEXWAVEFORMSALSOFORFREQUENCYDOMAINANALYSIS,JOINTTIMEFREQUENCYANALYSISJTFATECHNIQUESWEREUSEDALABVLEWTMBASEDVIRTUALINSTRUMENTWASDESIGNEDANDDEVELOPEDWITHACAPABILITYTOACQUIRE,DISPLAYANDANALYZETHETRIGGEREDSIGNALTHEINTEGRATEDPROGRAMMINGLANGUAGELABVIEWTMWASCHOSENASITOFFERSMANYSIMPLEREADYTOUSEFUNCTIONSINAWAYTHEPROPOSALOFFERSACOSTEFFECTIVE,FASTANDFLEXIBLESOLUTIONTOTREATTHECOMPLEXSIGNALSTHENEEDTOCREATESUCHSOLUTIONSISTHECONSEQUENCEOFCOSTLYHARDWARESYSTEMSTHEDEFICIENCYOFCONVENTIONALHARDWARESCHEMEFORTHEVIRTUALOSCILLOSCOPEFORCOMPLEXSIGNALSWITHSOMEREALTIMEEXPERIMENTALRESULTSAREPRESENTEDINTHISWORKKEVYWORDSVIRTUALINSTRUMENTATION,CHIRPSIGNAL,DATAACQUISITION,TRIGGERING,COMPLEXSIGNALS,JTFA1INTRODUCTIONFORTHELASTTWODECADESTHEREHASBEENATREMENDOUSPROGRESSINCOMPUTERTECHNOLOGYMEASUREMENTDOMAINISNOLONGERLEFTUNAFFECTEDTHEWAYMEASUREMENTSAREBEINGDONEISTOTALLYREVOLUTIONIZEDCOMPUTERBASEDMEASUREMENTORSAYVIRTUALINSTRUMENTATIONISGRADUALLYREPLACINGTHECOSTLYBENCH2TOPINSTRUMENTATIONASITOFFERSFLEXIBLE,FASTANDCOSTEFFECTIVESOLUTIONSVARIOUSCLASSICALINSTRUMENTATIONSYSTEMSNAMELYOSCILLOSCOPE,MULTIMETERSANDSPECTRUMANALYZERSECTAREALMOSTPHASEDOUTBYTHEIRCOUNTERPARTVIRTUALINSTRUMENTATIONOURRESEARCHEXTENDSTHETRENDANDDEMONSTRATESTHEDEVELOPMENOFTHECOMPUTERBASEDMIXEDSIGNALDIGITALOSCILLOSCOPECONVENTIONALSIGNALSSUCHASTHESINUSOIDSHAVEACONSTANTFREQUENCYANDTHEAMPLITEDEONLYVARIESWITHTIMETHROUGHOUTTHESIGNALDEFINITIONONTHEOTHERHAND,COMPLEXSIGNALSCANBEDEFINEDINTHISCONTEXTASSIGNALSINWHICHALLTHEPARAMETERSVARYFIG1SHOWSATYPICALCOMPLEXSIGNALIELINEARCHIRPVARIATIONOFAMPLITUDEANDFREQUENCYWITHTIMECANEASILYBEUNDERSTOODBYHAVINGALOOKATTHESIGNALTHISREQUIRESAVISUALLYSTABLEDISPLAYOFSIGNALTHECOMPLEXSIGNALOFFERSCHALLENGESFORACQUISITION,DISPLAYANANALYSISEVENTHECONVENTIONALMODERNAGEDSOISNOTCAPABLEOFDISPLAYINGANDANALYZINGCOMPLEXSIGNALSBECAUSETHESEINSTRUMENTSEMPLOYSIMPLETRIGGERINGTECHNIQUELIKELEVELTRIGGERTHECONVENTIONALTECHNNIQUEOFVOLTAGETRIGGERAPPARENTLYFAILSWHENCOMPLEXSIGNALSLIKECHIRPAREANALYZEDONDSOTHISISDUETOTHEVERYFACTTHATTHESEINSTRUMENTSCONSIDERCHIRPASACONVENTIONALSINEWAVEANDTRIGGERFOREACHCYCLEOFTHESINEWAVEINSTEADOFTRIGGERINGFORTHECOMPLETECHIRPCYCLETHISANALYSISOFTHECHIRPSIGNALASSEVERALSINEWAVEFORMSOFDIFFERENTFREQUENCIESLEADSTHEDSOTODISPLAYTHEMASSINUSOIDSINQUICKSUCCESSIONASTHISRAPIDCHANGEOCCUESATAVERYHIGHRATEANDBECAUSEOFHUMANEYENOTREGISTERINGEVENTSOCCURRINGFASTERTHAN1/20THOFASECONDTHEDISPLAYAPPEARSASSEVERALOVERLAPPEDSINEWAVESINTHERECENTWORK1,ANEWTRIGGERINGTECHNIQUEWASPROPOSEDFORTHECOMPLEXSIGNALSBASEDONWHDSUBSEQUENTSECTIONSPRESENTTHESOLUTIONTOTHEPROBLEMFORANALYSISOFTHECOMPLEXSIGNALSINFREQUENCYDOMAINJFFATECHNIQUEISUTILIZEDANDIMPLEMENTED26DSOUSESTHELEVELTRIGGERTODISPLAYTHEWAVEFORMAPPLIEDTOITTHISLEADSTOTRIGGERINTERVALANDTHENUMBEROFSAMPLESFORTHISTRIGGERINTERVALISCOMPUTEDANDTHESENUMBERSOFSAMPLESAREDISPLAYTHEDSOCONSIDERSTHEINTERVALASTHEFUNDAMENTALTIMEPERIODOFTHEWHOLEWAVEFORMANDTHUSTAKESTBATMUCHSAMPLESFROMITSBUFFERANDSTARTSDISPLAYINGITINQUICKSUCCESSIONWITHSIMPLEWAVEFORMLIKEASINEWAVE,LEVELTRIGGERCANACHIEVESTABLEDISPLAYBECAUSETRIGGERINTERVALCONTAINSSAMENUMBEROFCYCLESTHISISSHOWNINFIG2A34NOWFORTHECOMPLEXSIGNALASSHOWNINFIG2B,LEVELTRIGGERINGPRODUCESATRIGGERINTERVALHAVINGVARIABLENUMBEROFCYCLESFORTHESAMENUMBEROFSAMPLES/TIMERESULTINGINAVISUALLYUNSTABLEDISPLAYTHEACTUALTRIGGERINTERVALSHOULDBEONECOMPLETECYCLEFORACHIRPSIGNALASINDICATEDINFIG2CHAVINGDONETHISTHEREPEATEDCHIRPSIGNALFORTHISTIMEDURATIONWILLBEDISPLAYEDWITHOUTANYOVERLAPPINGCOMPONENTSASLONGASTHEENTIRETIMEPERIODISDISPLAYEDTOOBSERVETHESHORTCOMINGSEXPERIMENTALLYINDISPLAYOFCOMPLEXSIGNALSONTHEOSCILLOSCOPETEKTRONIXDUALCHANNELSIGNALGENERATORAFG3022250MS/S,25MHZWASUSEDTOGENERATEACHIRPSIGNALBYCHOOSINGTHESWEEPMODETOSINEWAVEFORMWITHITSFREQUENCYVARYINGLINEARLYWITHRESPECTTOTIMETHISSIGNALWASFEDTOTEKTRONIXTDS20222GS/S,200MHZDUALCHANNELDSOTHEOVERLAPPINGDISPLAYASSHOWNINFIG3WASOBSERVED2INTELLIGENTMETHODOFTRIGGERINGACCURATETRIGGERINGLIESSOLELYONCORRECTIDENTIFICATIONOFTHETIMEPERIODOFWAVEFORMUNDERCONSIDERATIONFORTHISPURPOSE,PATTERNRECOGNITIONSCHEMEWASIMPLEMENTEDTOIDENTIFYTHEPATTERNINTHESIGNAL1ANDTHUSOBTAINTHETIMEPERIODOFONECOMPLETECYCLEOFTHECHIRPFIRST,AFIXEDNUMBEROFSAMPLESNARETAKENASREFERENCEPATTERNTHENTHESIGNALISSHIFTEDBYONESAMPLETOFORMTHETESTPATTERNTHISPATTERNISTHENTESTEDFORITSCLOSENESSTOTHEREFERENCEPATTERNCLOSENESSCANBEDEFINEDASTHEDISTANCEBYWHICHTESTPATTERNISAWAYFROMREFERENCEPATTERNWHDISUSEDASTHEDECISIONFUNCTIONFORCLOSENESSHAMMINGDISTANCEISDEFINEDFORTWOBINARYVECTORSASTHENUMBEROFDIFFERENTBITSAREGIVENTHEIRVECTORSINWHDTHEDIFFERENTBITSAREGIVENTHEIRBINARYWEIGHTINGACCORDINGTOTHEBITPOSITION5ANDTHEIRWEIGHTSACCORDINGTOTHEBITPOSITIONANDTHEIRWEIGHTSARESUMMEDUPWHDOFTWOBINARYNBITNUMBERXANDAISGIVENBYIFXANDAARETWOBINARYVECTORSOFNBITSELEMENT,THENWHDFORTHESETWOVECTORSISCOMPUTEDBYSUMMINGUPTHEELEMENTBYELEMENTWHDANDISGIVENBYFORAVECTOROFDIMENSIONN,THESAMPLESARESHIFTEDNTIMESANDITSCLOSENESSISCOMPUTEDATEACHSHIFTWHENTHESECOMPUTATIONSAREDONE,THEDIFFERENCE洫INTHESIGNALSISFOUNDTOBEMINIMUMIDEALLYZEROWHENNONOISEWHENTHECYCLEREPEATEDITSELFFOLLOWINGARETHEMAJORSTEPSINVOLVEDANDIMPLEMENTEDFORINTELLIGENTTRIGGERMECHANISM1ACQUIRINGTHELONGENOUGHSIGNALUSINGDAQCARDANDTOCONVERTTHEDECIMALVALUESOFSAMPLESINTOBINARYFORM2AFIXEDNUMBERNOFBINARYSAMPLESARESTOREDINARRAYTHESTOREDSAMPLESARESHIFTEDBYAFIXEDCNUMBEROFSAMPLES,N1,INTHISCASE3THEORIGINALSAVEDSAMPLESANDTHESHIFTEDSAMPLESAREXOREDBITBYBITTHERESULTISTHENMULTIPLIEDBYAFACTOROF2,WHEREIREPRESENTTHEPOSITIONOFBIT4THESUMMATIONOFALLTHERESULTINGVALUESGIVESTHEWHDFORNTHSHIFTS65APLOTOFWHDVSNISMADEANDTHEMINIMUMISCALCULATEDBYPEAKDETECTIONMETHODTHEDIFFERENCEBETWEENTWOSUCCESSIVEMINIMAISTHETRIGGERINTERVALINNUMBEROFSAMPLES6THENUMBEROFSAMPLESMULTIPLIEDBYTHESAMPLINGRATERESULTSINTRIGGERINTERVALINSECONDSASATESTCASEWHDALGORITHMISIMPLEMENTEDFORTHEFOLLOWINGTRIANGULARWAVEFORRNINFIG4THEWAVEFORMISSAMPLEDAT8POINTSPEREYCLEEACHSAMPLEDVALUEIS3BITLENGTHTHESTEPBYSTEPIMPLEMENTATIONISGIVENBELOW7WHDWAVEFORRNISPLOTTEDUSINGWHD1,WHD2,WHD8,ANDTHELOCATIONOFTHEMINIMAGIVESTHETRIGGERINGINTERVALFIG5SHOWSTHEWHDWAVEFORMALSOCLEARLYINDICATINGTHETRIGGERINTERVALAT8THSAMPLETHEWHDVIFIG6WASDEVELOPEDFORTHISTASKITTAKESTHEWAVEFORM,WHOSETRIGGERINGINTERVALISTOBEFOUND,ANDTHENOOFSAMPLES,ONWHICHCOMPUTATIONISTOBEDONE,ASINPUTANDOUTPUTSTHESAMPLEATWHICHMINIMAOCCURSALONGWITHTHEVALUEOFMINIMAANDTHEWHDWAVEFORMFORTYPICALCHIRPSIGNALWHDWAVEFORMISOBTAINEDASSHOWNINFIG7THENUMBEROFSAMPLESBETWEENTWOCONSECUTIVEMINIMAISEQUALTOTHENUMBEROFSAMPLESINONECYCLEOFTHEWAVEFORMTHEPRODUCTOFTHENUMBEROFSAMPLESWITHTHESAMPLINGINTERVALISTHETRIGGERINGINTERVALOFTHEINPUTSIGNALTHUS,THEVIRTUALINSTRUMENTCOULDALSODISPLAYCOMPLEXWAVEFORMSWITHCONSIDERABLEAESEFIG7SHOWSTRIGGERINGINTERVALOF5CYCLES3FREQUENCYDOMAINANALYSISFORSIMPLESIGNALSTHEFREQUENCYANALYSISISPERFORMEDBYTRADITIONALTOOLSLIKEFFTFORSUCHSIGNALSTHEFOURIERTRANSFORMWORKSWELLASTHEIRFREQUENCYCOMPONENTSREMAINCONSTANTTHROUGHOUTTHESIGNALEXISTENCEANDHENCETHEREISNONEEDFORTHETIMEFREQUENCYRELATIONSHIPINCASEOFCOMPLEXSIGNALSTHEFREQUENCYVARIESWITHTIMEFFTFAILSTOANALYZETHESESIGNALSASITGIVESINFORMATIONABOUTTHEFREQUENCYANDITSAMPLITUDETIMEINFORMATIONISLOST8INORDERTOOVERCOMETHISDIFFICULTY,THEREAREJTFATOOLSIIKESHORTTIMEFOURIERTRANSFORMSTFTANDWAVELETTRANSFORMTHESEAREIMPLEMENTEDFORTHESIGNALSUNDERCONSIDERATIONTHESTFTISAMODIFIEDFORMOFFOURIERTRANSFORMINTHISTECHNIQUETHESIGNALISRNULTIPLIEDWITHAWINDOWFUNCTIONANDTHEIRPRODUCTSFOURIERTRANSFORM2THEMAINPRINCIPLEBEHINDTHISTECHNIQUEISTHATTHEWINDOWFUNCTIONWBREAKSDOWNTHESIGNALINTOSEGMENTSOFSMALLFINITEDURTIONTHEFREQUENCYCOMPONENTOFTHESIGNALDURINGTHISSEGMENTISASSUMEDTOBECONSTANTBYCOMPUTINGTHEFOURIERTRANSFORMFORTHISSEGMENTTHEFREQUENCYVSAMPLITUDEINFORMATIONISOBTAINEDTHENTHEWINDOWISMOVEDTOANOTHERSEGMENTBYASTEPHAVINGTHESAMEDURATIONASTHEPREVIOUSONEGIVINGTHEFREQUENCYCOMPONENTFORTHATSEGMENTTHUSTHEFREQUENCYFORDIFFERENTTIMEINTERVALSGIVESTIMEFREQUENCYRELATIONSHIPHOWEVER,THEREISADISADVANTAGEWITHTHISTECNIQUETHESIZEOFTHEWINDOWFUNCTIONUSEDISFIXED,THUSSTFTWILLHAVESAMERESOLUTIONFORLOWANDHIGHFREQUENCIESRESOLUTIONISTHECERTAINTYBYWHICHONECANDETERMINETIMEOR9FREQUENCYINFORMATIONITISGENERALLYSEENTHATALARGERWINDOWLEADSTOBETTERFREQUENCYRESOLUTIONANDASMALLWINDOWLEADSTOBETTERTIMERESOLUTIONTHUS,ITDEPENDSUPONTHEUSERWHETHERHEWANTSFREQUENCYORTIMERESOLUTIONEVENIFTHEREISANEEDFORCHANGEOFRESOLUTION,THEUSERHASTODOTHESAMEMANUALLYTOOVERCOMETHERESOLUTIONPROBLERN,AMOREADVANCEDTECHNIQUECALLEDWAVELETTRANSFORMISUSEDTHESEDAYSINTHISTHEWINDOWSIZECANBEALTERED,USINGASCALINGPARAMETERATHEEQUATIONFORWAVELETTRANSFORMISGIVENASWHEREAISTHESCALINGPARAMETER,BISTHETRANSLATIONPARAMETER,XTISTHESIGNALTOBEANALYZEDANDISTHEWAVELETFUNCTIONTHEWAVELETFUNCTIONTISKNOWNASTHEMOTHERWAVELETITSSCALEDANDTIMESHIFTEDVERSIONSAREKNOWNASTHEDAUGHTERWAVELETSTHESEDAUGHTERWAVELETSHAVINGVARYINGSIZEOFFERDIFFERENTFREQUENCYANDTIMERESOLUTIONSATDIFFERENTFREQUENCIESTHESCALEPARAMETERAREPRESENTSTHEFREEQUENCYCOMPONENTINANINVERSERELATIONTHUSTHEVALUCOFSCALEISINVERSELYPROPORTIONALTOFREQUENCYCOMPONENTINITIALLYTHEWAVELETFUNCTIONHASSCALEA1ANDISPLACEDATTHESTARTINGOFTHESIGNALTHEWAVELETTRANSFORMANDTHUSTHEFREQUENCYCOMPONENTOFTHATSEGMENTTHENTHEWAVELETFUNCTIONISMOVEDBYBSTEPSANDTHEWAVELETTRANSFORMISCOMPUTEDFORTHATSEGMENTTHISPROCECDUREISCONTINUEDTILLTHEENDOFTHESIGNALTHUSWAVELETTRANSFORMFORA1ANDALLTHETIMESTEPSTILLTHEENDOFSIGNALGETSCOMPUTEDSIMILARLYTHEWAVELETFUNCTIONISAGAINPLACEDATTHESTARTOFTHESIGNALBUTWITHCHANGEDVALUEOFSCALEATHEPROCEDUREISCONTINUEDTILLTHEWAVELETTRANSFORMFOREACHSCALEANDTIMESTEPCOMBINATIONHASBEENCOMPUTEDITCANBEOBSERVEDTHATTHECOMPUTATIONOFWAVELETTRANSFORMLEADSTOALOTOFREDUNDANCYTOREDUCETHEREDUNDANCY,THESCALEVALUESANDTHETIMESTEPSCANBELINKEDUSINGDYADICSAMPLINGA2“ANDBK2WHERENANDKAREINTEGERSTHISLEADSTOREDUCTIONINREDUNDANCYTHISISCALLEDDISCRETEWAVELETTRANSFORMDWT4IMPLEMENTATION10ADAQCARDBASEDVIRTUALINSTRUMENTWASDESIGNEDANDDEVELOPEDINLABVIEWTMPROGRAMMINGENVIRONMENTTHISVIRTUALINSTRUMENTHASTHECAPABILITYTOGENERATEINTELLIGENTSOFTWARETRIGGERASDESCRIBEDABOVEFORCOMPLEXWAVEFORMSLIKECHIRPTHEMAINDECISIONNSDURINGDESIGNOFTHEVIRTUALINSTRUMENTARECHOOSINGTHEDATAACQUISITIONCARDAND,WHATISEQUALLYIMPORTANT,CHOOSINGTHESETOFFEATURESTHEINSTRUMENTSHOULDOFFERTHECHOICEOFTHEDATAACQUISTIONCARDHASAGREATINFLUENCEONTHEEFFICIENCYOFTHEWHOLEINSTRUMENT7，8PARTICULARDAQCARDSAREDIFFERENTIATEDBYPRICEAND,THESPECIFICATIONITOFFERSALOWCOSTNIPCI6035E,16BIT,200KS/SCARDWASCHOSENTHEHARDWAREWASPROGRAMMEDATMAXIMUMSAMPLINGRATEASEPARATEPROBLEMISDESIGNINGSOFTWARE,WHICH,INTHATCASE,ISTHEMAINPARTOFINSTRUMENTDESIGNPHASETHEMAJORFEATURESOFTHEDEVELOPEDVIRTUALINSTRUMENTARETHECAPABILITYTOACQUIREANDPROCESSSIMPLEANDCOMPLEXWAVEFORMSDUALCHANNELMODETHEINSTRUMENTISCAPABLEOFDISPLAYINGTWOINPUTSSIMULTANEOUSLYANDCANPERFORMSIMPLEMATHOPERATIONSBETWEENTHETWOAUTOSETRUNSTHEWHDCODETORECOMPUTETHETRIGGERINTERVALFORTHENEWSIGNALANDTHUSACHIEVEASTABLEDISPLAYINCASE,THETWOINPUTSDONOTHAVETHESAMEFREQUENCY,THELCMOFTHETRIGGERINTERVALSOFAANDBISFOUNDTOSOTHATINTEGRALNUMBEROFCYCLESOFBOTHTHECHANNELSCANBESHOWNSIMULTANEOUSLYTIMEDOMAINMEASUREMENTSTHESIGNALBEINGDISPLAYEDINTIMEDOMAINAREMEASUREDONVARIOUSPARAMETERSAMPLITUDEPEAKTOPEAKMEANDCRMS1112FIG9THERESULTSOFWAVELETTRANSRORMIMPLEMENTEDINTHEVIRTUALINSTRUMENTCHANNELAANALYZINGSINESIGNALANDCHANNELBANALYZINGACHIRPSIGNALFREQUENCYDOMAINAALYSISTHEPLOTOFMAGNITUDEVSFREQUENCY,PHASEVSFREQUENCYANDTHEFACILITYTOCHOOSETHEWINDOWINGFUNCTIONSTFTBASEDJOINTTIMEFREQUENCYANALYSISJTFATHESPECTROGRAMWITHTHEADDITIONALCHOICESOFTHEPLOTTINGTHEGRAPHWITHSCALEINDECIBELS,WINDOWINGFUNCTIONSANDTHEWINDOWLENGTHFORSTFTANALYSISWAVELETBASEDJOINTTIMEFREQUENCYANALYSISJTFATHESCALOGRAMWHICHPLOTSSCALESVSTIMESTEPS,CHOICEOFTIMEFREQUENCYSAMPLINGPARAMETERSLIKETIMESTEPSANDSCALESANDTHECHOICEOFWAVELETFUNCTIONSFORTHEFREQUENCYDOMAINANALYSIS,DSPTOOLKITAVAILABLEWITHLABVIEWSOFTWARE13WASUTILIZEDSTANDARDFUNCTIONSAREAVAILABLEINTHETOOLKITTHEVIRTUALINSTRUMENTTHUSDEVELOPEDISINTELLIGENTASITTAKESDIFFERENTACTIONSWITHDIFFERENTSIGNALSCONTRARYTOADIGITALSTORAGEOSCILLOSCOPETRIGGERIMPLEMENTEDENABLESUSTOOBTIANTHECORRECTVALUEOFTHETIMEPERIODANDASTABLEDISPLAYANALYSISOFCOMPLEXSIGNALSCANALSOBEPERFORMEDUSINGTHISINSTRUMENTFIG8SHOWSTHEFRONTPANELOFTHEVIRTUALINSTRUMENTSHOWINGTIMEDOMAINMEASUREMENTSFIG9SHOWSTHETIMEFREQUENCYRELATIONSHIPONBOTHTHECHANNELBANALYSESTHECHIRPSIGNALASSEENCLEARLYTHECHIRPSIGNALSHOWSTHEVARYINGFREQUENCYWITHTIME5LIMITATIONSOFDEVELOPEDVIRTUALINSTRUMENTSAMPLESFORFEWCYCLESAREREQUIREDTODETERMINTHETRIGGERINGINTERVALONENEEDTOOPTIMIZETBEAPPROPRIATESAMPLINGRATEANDTHENUMBEROFSAMPLESTOBEPROCESSEDTHEPROCESSINGTIMETAKENBYTHEWHDTECHNIQUEISDIRECTLYPROPORTIONALTOTHENUMBEROFSAMPLESANDHENCETOTHESAMPLINGRATEASTHEHIGHERSAMPLINGRATELEADSTOTHEMORENUMBEROFSAMPLESPERCYCLETHETIMEREQUIREDTOCOMPUTETRIGGERALSODEPENDSUPONTHESPEEDOFTHECOMPUTINGSYSTEMFORLARGEAMOUNTOFDATAIFHIGHSAMPLINGRATESUSFIXED,COMPUTATIONALLYHEAVYWHDALGORITHMANDOTHERFEATURESFORMOREANALYSIS,THEBUTTERMIGHTOVERFLOWLEADINGTOLOSSOFDATAEVERYTIMETHEINPUTWAVEFORMISCHANGEDUSERHASTODORETRIGGERING6CONCLUSIONANDDISCUSSIONSUCCESSFULDEVELOPMENTOFTHEVIRTUALINSTRUMENTWITHTHECAPABILITYOFACQUIRING,DISPLAYINGANDANALYZINGCOMPLEXSIGNALSISDONETHEINSTRUMENTOVERCOMESTHESHORTCOMINGSOFTHEDSOS,FOUNDCOMMONLYINLABORATORIES,INACHIEVINGSTABLEDISPLAYFORCOMPLEXSIGNALSTHEDEVELOPDINSTRUMENTISCOSTEFFECTIVEANDFLEXIBLEINNATUREANDHADTHELARGENUMBEROFFEATURESTOCHOOSEFROMTHECOMPUTERTOWARDSTHEMEASUREMENTSYSTEMSTHEVIDEVELOPEDISEXPECTEDTOGOALONGWAYINTHEINSTRUMENTATIONAREA14基于混合信号的数据采集卡的虚拟示波器摘要复杂的信号在声纳、雷达、回声定位系统和谐振频率的研究中有多种应用。数字存储示波器（DSO）现在被用于获取和显示常规信号。这台仪器普遍用于各个测量实验室，虽然在显示简单周期性波形如正弦波时有用，但是在变化频率的信号运用时，失败了。这个问题显露出来是因为示波器的潜在技术用于触发波形，对于复杂信号像噪声来说是不允许的。能真正解决这个问题的是混合信号示波器。这是一种成本高的解决方法，并且小型实验室承担不起昂贵的仪器。在本文中，建议选用成本合G10714的G3534于混合信号的数G6466G18331G19610G2357的G15406G6323示波器来G2010G7524复杂的信号。一种G7246能技术，G7246能G9213G9299G5242G6523G2058器（WHD）G12651法用于G1946G11842触发复杂波形，G1075用G2052了频G16901G2010G7524和时频G2010G7524（JTFA）技术。G16786G16757了一种G3534于LABVLEW的G15406G6323仪器，发G4649了获取、显示和G2010G7524触发信号的性能。能G1427G6475实用G2163能G4448G6984的G13546G12255G16833G16340LABVIEW被选为G15406G6323仪器G16786G16757G5191台。这是一种G13475G8994高G6940，G5567G17907G9801G8975G2010G7524复杂的信号的方法。有G5529G16213建G12447这G7691的解决方G7708是G11840G1226系统G3838昂贵的G13479G7536，这G1075是常规G11840G1226的不G17287。G991G19766G6563G17860了G15406G6323示波器实G19481G2010G7524复杂信号实验的G13479G7536。关键字G15406G6323仪器，G16855频信号，数G6466G18331G19610，触发，复杂信号，JTFA。一绪论在G17819G2447的G1120G2325G5192G18336G16757G12651G7438技术G20146G17907发G4649，测量G20058G3507G1075G9157G2475G5445G2721，测量方G5347正在发G10995G13775G3837G16218G3332的变化。G3534于G16757G12651G7438的测量仪器G6122G13785说G15406G6323仪器正在G17892G8505取G1207昂贵的台G5347仪器，因为G4439G9801G8975、G5567G17907和G13475G8994。各种G1268统仪G15932系统如示波器，G987用G15932和频G16901G2010G7524仪G12573，G11013于G16757数G18108G2010G13792被G15406G6323仪器G9132G8772。G6117G1216的研究G4570发G4649这种G17247G2195，G4649示G3534于G16757G12651G7438的复杂信号的数字示波器的发G4649G62G28G15G20G19G64。G3常规信号G1375如正弦信号G1867有G5670定的频率和G19555时G19400变化的G5145G1552。G2490一方G19766，在这G12699文G12468G18336，复杂信号G2499G1209被定G1053为信号，G4613是G6164有G2454数G18129变化的信号。G3282G20显示了一个G1868型的复杂信号。G315G3G3G11487G11540信号，很容易G10714解G5145G5242和频率G19555时G19400的变化。这需G16213一个G2499视的、稳定的信号G4649示。G18331G19610和显示G2010G7524对复杂信号来说是一个挑战。即使是G1268统的现G1207DSOG1075不能显示和G2010G7524复杂的信号，因为这些仪器才养的是简单的触发技术，比如水G5191触发。当复杂信号像附加G16855频在示波器上G2010G7524时，G1268统的电压触发技术显然失败了。这是G11013于这一事实，这些工G1867把附加G16855频作为一种G1268统的正弦波，触发的是正弦波的每个周期G13792不是G4448全的附加G16855频周期。这种附加G16855频信号的G2010G7524，G4613像其他不同频率的正弦波一G7691，导致了DSOG4649示G4439G1216，G4613像连续的窦状隙一G7691。G11013于这在一个非常高的G17907G5242迅G17907变化，人的眼睛根本不能抓住G17907G5242比G20/2G19秒还G5567的事情，G4613像几个重叠的正弦波一G7691G4649示。在最近的工作G62G20G64，一个新的G3534于G7246能G9213G9299G5242G6523G2058器的触发技术被运用与复杂信号。G19555后的G12468节G4570呈现解决问题的方法。在频G3507JFFA技术上对复杂信号的G2010G7524G4570被利用和实施G6226G64。G3G3G3G3G3DSO使用水G5191触发来来G4649示波形G4570被应用。这G4570导致触发G19400隔极G16757G12651和G4649示G7691本数量。DSO认为，作为G6984个波形的G3534本时G19400G19400隔，从G4439的缓冲并开始G5567G17907连续显示中，需G16213多G7691品。有了这G7691一个简单的正弦波波形，水G5191触发G2499G1209实现稳定的显示，因为触发G19400隔包含的周期相同。这显示在G32822A。如G32822BG6164示的复杂信号，水G5191触发产G10995了一个触发G19400隔，这个触发G19400隔，对G1867有相同数量的G7691本G6122时G19400来说有变化的周期数，这导致了视觉上的不稳定G4649示。实G19481触发G19400隔应该是一个G4448G6984的附加G16855频信号周期，如G32822CG6164示。这G7691做之后的重复附加G16855频信号在G4649示出来的G6984个时G19400段G18336G4570持续显示出来，G13792没有任何的重叠组G1226G3通G17819示波器来G4649示复杂信号G2499G1209G11487见G4439的缺点，双通道泰克信号发G10995器AFGG33G1922（25G19G3MSG3/G3S的，25兆赫）通G17819选择关于时G19400正弦波的频率变化与线性G16855频信号波形的扫G6563模G5347来产G10995附加G16855频信号。这个信号被输送G2052TEKTRONIG91TDSG32G1922（2G3GSG3/G3S的，2G19G19MG43G93的）双通道DSO。重叠的显示如G32823G6164示。G3二触发的智能方法16G3G3G1946G11842的触发G1177G1177在于对正在G13783G15397的时G19400G1881波形的正G11842G16794G2047。为G8504，实施模G5347G16794G2047G16757G2022来G11842定信号的模G5347G62G20G64，从G13792获G5483一个G4448G6984附加G16855频周期时G19400。G20330G1820，把一个G3278定的G7691本数G49作为G2454G13783模G5347。然后，G11013一个G7691本G17728G12239形成最G3921的模G5347。然后利用G2454G13783模G5347来测G16809这种模G5347的G12946G4506G5242。G12946G4506G5242G2499G1209G11013测G16809模G5347和G2454G13783模G5347的G5058G5334来定G1053。G3G3G3G3G3G3G7246能G9213G9299G5242G6523G2058器是用来作为G12946G4506G5242的决定作用。G9035G7138G17329G12175定G1053为G1016个不同的G10数位G1120G17839G2058G2533量，G13485出了G17745G1319。在G7246能G9213G9299G5242G6523G2058器中，根G6466不G4439G1216位G13634的同来G11842定其G1120G17839G2058的G7447重和重量，然后把位G13634和G7447重相加。G1120G17839G2058的G7246能G9213G9299G5242G6523G2058器G1016个数X，A是G13485G111610,2NKKKKWHDXAXAG11G20G12G3如G7536G59和AG1016个G1120G17839G2058G2533量的N位的G1815G13044，G18039G1052这G1016个G2533量是G5647G13479G7246能G9213G9299G5242G6523G2058器G1815G13044G1815G13044G16757G12651，并G1348510,2ELEMENTN