标签: response

ONCONTROLLINGTHETRANSIENTRESPONSEOFLINEARTIMEINVARIANTSYSTEMSWITHFIXEDSTRUCTURECONTROLLERS(ShankarP.Bhattacharyya)

ImprovementofTransientResponsebyMeansofVariableSetPointWeighting

Frequencyresponseidentificationwithcascaderelayfeedback

FrequencyResponseFunctionIdentificationofLPVSystems-aGlobalApproachwithApplicationtoMechanicalSystems(TomOomen)

FrequencyResponseBasedtheDerivativeComponentTuningApproach

FastResponseSystemsUsingFeedForwardLoopforFuzzyTunedPIDControllers

Dynamiccompensationoftransientresponsesandtheevaluationofsystemmoments

Afrequencydomainstepresponseidentificationmethodforcontinuous-timeprocesseswithtimedelay

MetastableResponsein5-VLogicCircuits(ti)

0UnderstandingtheLoad-TransientResponseofLDOs.pdfTexasInstrumentsIncorporatedPowerManagementUnderstandingtheload-transientresponseofLDOsByBrianM.KingAdvancedAnalogProductsIntroductionFigure1.TypicalLDOcomponentsLow-dropoutlinearregulators(LDOs)arecommonlyusedtoprovidepowertolow-voltagedigitalcircuits,wherepoint-of-InputPassloadregulationisimportant.Intheseapplications,itiscommonElementforthedigitalcircuittohaveReference+severaldifferentmodesofo……

Addingoptimizationcircuitrytoalowpassfilterallowsthefiltertoadjustitscutofffrequencydynamically,preservingthestep-responsetimeforrelativelylowcutofffrequencies.……

Mostfiltershaveoneofthefourstandardfrequencyresponses:low-pass,high-pass,band-passorband-reject.Thischapterpresentsageneralmethodofdesigningdigitalfilterswithanarbitraryfrequencyresponse,tailoredtotheneedsofyourparticularapplication.DSPexcelsinthisarea,solvingproblemsthatarefarabovethecapabilitiesofanalogelectronics.Twoimportantusesofcustomfiltersarediscussedinthischapter:deconvolution,awayofrestoringsignalsthathaveundergoneanunwantedconvolution,andoptimalfiltering,theproblemofseparatingsignalswithoverlappingfrequencyspectra.ThisisDSPatitsbest.CHAPTERCustomFilters17Mostfiltershaveoneofthefourstandardfrequencyresponses:low-pass,high-pass,band-passorband-reject.Thischapterpresentsageneralmethodofdesigningdigitalfilterswithanarbitraryfrequencyresponse,tailoredtotheneedsofyourparticularapplication.DSPexcelsinthisarea,solvingproblemsthatarefarabovethecapabilitiesofanalogelectronics.Twoimportantusesofcustomfiltersarediscussedinthischapter:deconvolution,awayofrestoringsignalsthathaveundergoneanunwantedconvolution,andoptimalfiltering,theproblemofseparatingsignalswithoverlappingfrequencyspectra.ThisisDSPatitsbest.ArbitraryFrequencyResponseTheapproachusedtoderive……

Convolutionisamathematicalwayofcombiningtwosignalstoformathirdsignal.ItisthesinglemostimportanttechniqueinDigitalSignalProcessing.Usingthestrategyofimpulsedecomposition,systemsaredescribedbyasignalcalledtheimpulseresponse.Convolutionisimportantbecauseitrelatesthethreesignalsofinterest:theinputsignal,theoutputsignal,andtheimpulseresponse.Thischapterpresentsconvolutionfromtwodifferentviewpoints,calledtheinputsidealgorithmandtheoutputsidealgorithm.ConvolutionprovidesthemathematicalframeworkforDSP;thereisnothingmoreimportantinthisbook.CHAPTERConvolution6Convolutionisamathematicalwayofcombiningtwosignalstoformathirdsignal.ItisthesinglemostimportanttechniqueinDigitalSignalProcessing.Usingthestrategyofimpulsedecomposition,systemsaredescribedbyasignalcalledtheimpulseresponse.Convolutionisimportantbecauseitrelatesthethreesignalsofinterest:theinputsignal,theoutputsignal,andtheimpulseresponse.Thischapterpresentsconvolutionfromtwodifferentviewpoints,calledtheinputsidealgorithmandtheoutputsidealgorithm.ConvolutionprovidesthemathematicalframeworkforDSP;thereisnothingmoreimportantinthisbook.TheDeltaFunctionandImpulseResponseThepreviouschapterdescribesh……

TheDiscreteFourierTransform(DFT)isoneofthemostimportanttoolsinDigitalSignalProcessing.Thischapterdiscussesthreecommonwaysitisused.First,theDFTcancalculateasignal'sfrequencyspectrum.Thisisadirectexaminationofinformationencodedinthefrequency,phase,andamplitudeofthecomponentsinusoids.Forexample,humanspeechandhearingusesignalswiththistypeofencoding.Second,theDFTcanfindasystem'sfrequencyresponsefromthesystem'simpulseresponse,andviceversa.Thisallowssystemstobeanalyzedinthefrequencydomain,justasconvolutionallowssystemstobeanalyzedinthetimedomain.Third,theDFTcanbeusedasanintermediatestepinmoreelaboratesignalprocessingtechniques.TheclassicexampleofthisisFFTconvolution,analgorithmforconvolvingsignalsthatishundredsoftimesfasterthanconventionalmethods.SpectralAnalysisCHAPTERApplicationsoftheDFT9TheDiscreteFourierTransform(DFT)isoneofthemostimportanttoolsinDigitalSignalProcessing.Thischapterdiscussesthreecommonwaysitisused.First,theDFTcancalculateasignal'sfrequencyspectrum.Thisisadirectexaminationofinformationencodedinthefrequency,phase,andamplitudeofthecomponentsinusoids.Forexample,humanspeechandhearingusesignalswiththistypeofencoding.Second,theDFTcanfindasystem'sfrequencyresponsefromthesystem'simpulseresponse,andviceversa.Thisallowssystemstobeanalyzedinthefrequencydomain,justasconvolutionallowssystemstobeanalyzedinthetimedomain.Third,theDFTcanbeusedasanintermediatestepinmoreelaboratesignalp……

ThemovingaverageisthemostcommonfilterinDSP,mainlybecauseitistheeasiestdigitalfiltertounderstandanduse.Inspiteofitssimplicity,themovingaveragefilterisoptimalforacommontask:reducingrandomnoisewhileretainingasharpstepresponse.Thismakesitthepremierfilterfortimedomainencodedsignals.However,themovingaverageistheworstfilterforfrequencydomainencodedsignals,withlittleabilitytoseparateonebandoffrequenciesfromanother.RelativesofthemovingaveragefilterincludetheGaussian,Blackman,andmultiplepassmovingaverage.Thesehaveslightlybetterperformanceinthefrequencydomain,attheexpenseofincreasedcomputationtime.CHAPTERMovingAverageFilters15ThemovingaverageisthemostcommonfilterinDSP,mainlybecauseitistheeasiestdigitalfiltertounderstandanduse.Inspiteofitssimplicity,themovingaveragefilterisoptimalforacommontask:reducingrandomnoisewhileretainingasharpstepresponse.Thismakesitthepremierfilterfortimedomainencodedsignals.However,themovingaverageistheworstfilterforfrequencydomainencodedsignals,withlittleabilitytoseparateonebandoffrequenciesfromanother.RelativesofthemovingaveragefilterincludetheGaussian,Blackman,andmultiple-passmovingaverage.Thesehaveslightlybetterperformanceinthefrequencydomain,attheexpenseofincreasedcomputationtime.Im……

Recursivefiltersareanefficientwayofachievingalongimpulseresponse,withouthavingtoperformalongconvolution.Theyexecuteveryrapidly,buthavelessperformanceandflexibilitythanotherdigitalfilters.RecursivefiltersarealsocalledInfiniteImpulseResponse(IIR)filters,sincetheirimpulseresponsesarecomposedofdecayingexponentials.Thisdistinguishesthemfromdigitalfilterscarriedoutbyconvolution,calledFiniteImpulseResponse(FIR)filters.Thischapterisanintroductiontohowrecursivefiltersoperate,andhowsimplemembersofthefamilycanbedesigned.Chapters20,26and33presentmoresophisticateddesignmethods.CHAPTERRecursiveFilters19Recursivefiltersareanefficientwayofachievingalongimpulseresponse,withouthavingtoperformalongconvolution.Theyexecuteveryrapidly,buthavelessperformanceandflexibilitythanotherdigitalfilters.RecursivefiltersarealsocalledInfiniteImpulseResponse(IIR)filters,sincetheirimpulseresponsesarecomposedofdecayingexponentials.Thisdistinguishesthemfromdigitalfilterscarriedoutbyconvolution,calledFiniteImpulseResponse(FIR)filters.Thischapterisanintroductiontohowrecursivefiltersoperate,andhowsimplemembersofthefamilycanbedesigned.Chapters20,26and33presentmoresophisticateddesignmethods.TheRecursiveMethodTostar……

Chebyshevfiltersareusedtoseparateonebandoffrequenciesfromanother.Althoughtheycannotmatchtheperformanceofthewindowed-sincfilter,theyaremorethanadequateformanyapplications.TheprimaryattributeofChebyshevfiltersistheirspeed,typicallymorethananorderofmagnitudefasterthanthewindowed-sinc.Thisisbecausetheyarecarriedoutbyrecursionratherthanconvolution.Thedesignofthesefiltersisbasedonamathematicaltechniquecalledthez-transform,discussedinChapter33.ThischapterpresentstheinformationneededtouseChebyshevfilterswithoutwadingthroughamireofadvancedmathematics.CHAPTERChebyshevFilters20Chebyshevfiltersareusedtoseparateonebandoffrequenciesfromanother.Althoughtheycannotmatchtheperformanceofthewindowed-sincfilter,theyaremorethanadequateformanyapplications.TheprimaryattributeofChebyshevfiltersistheirspeed,typicallymorethananorderofmagnitudefasterthanthewindowed-sinc.Thisisbecausetheyarecarriedoutbyrecursionratherthanconvolution.Thedesignofthesefiltersisbasedonamathematicaltechniquecalledthez-transform,discussedinChapter33.ThischapterpresentstheinformationneededtouseChebyshevfilterswithoutwadingthroughamireofadvancedmathematics.TheChebyshevandButterworthResponsesTheChebyshevre……

射频CMOS集成电路原理和设计-5CMOS8¤>nOLecture4,Sept.30,2003J1.BJTdevicestructure1/192.DCcharacteristics3.acsmallsignalequivalentcircuit4.Frequencyresponseá1.Ch.1,P.R.GrayandR.G.Meyer,“AnalysisandDesignofAnalogIntegratedCircuits,”3rded.,1977,JohnWiley&Sons,Inc.BJTDeviceStructureBJTCross-sectionshowingtheparasitics2/19Figure1:BJTcross-sectionDCCharacteristics(1st-order)3/19Forward-activeoperationregionofannpnBJT.Thecollectorcurrent,VBEqADnnp0IC=ISexp,IS=……

Project-SampleAxelBernyEE240TermProjectSPRING2001Outline:1.DesignApproach2.AmplifierSchematic3.BiasingNetworkSchematic4.PerformanceSummary5.DesignProcessandEquations6.SimulationPlots:a.DifferentialACLoopFrequencyResponseb.Common-ModeACLoopFrequencyResponsec.OpenLoopGainvs.DifferentialOutputVoltaged.PositiveSettlinge.NegativeSettlingf.TotalIntegratedOutputVoltageNoise7.CommentsandConclusion8.Appendixa.CircuitNetlistb.Non-dominantPoleOptimizationc.DoubletAnalysis1.DesignApproachChoiceoftopologySelectinganoptimaltopologyforthegivenspecificationsisoneofthemostcruci……

Abstract:Thisdocumentcontainsalistoftermspertainingtotheuseof1-Wire®andiButton®SHA-1devices(i.e.,theDS1963S,DS1961S,DS2432,andDS28E01-100).Thisdocumenthasbeencreatedinanefforttomakethetermsinthevariousapplicationnotesanddatasheetsconcerningtheabovedevicesconsistent.Maxim>AppNotes>1-WireDevicesiButtonSecurityandAuthenticationKeywords:glossary,SHA,SHA-1,DS1963S,DS1961S,DS2432,authenticate,authentication,bindingdata,challenge,response,Jun07,2002coprocessor,debit,credit,ecash,eCertificate,emulate,entropy,hash,signature,secret,MAC,hash,password,PIN,passphrase,pseudorAPPLICATIONNOTE1099WhitePaper4:Glossaryof1-WireSHA-1TermsAbstract:Thisdocumentcontainsalistoftermspertainingtotheuseof1-WireandiButtonSHA-1devices(i.e.,theDS1963S,DS1961S,DS2432,andDS28E01-100).Thisdocumenthasbeencreatedinanefforttomakethetermsinthevariousapplicationnotesanddatasheetsconcerningtheabovedevicesconsistent.IntroductionThisdocumentcontainsalistoft……