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1、英文翻译系别专业班级学生姓名学号指导教师报告日期DataCurveFittingBasedonMATLABCurvefittingistheprocessofconstructingacurve,ormathematicalfunction,thathasthebestfittoaseriesofdatapoints,possiblysubjecttoconstraints.Curvefittingcaninvolveeitherinterpolation,whereanexactfittothedataisrequired,orsmoothing,inwhicha"
2、smooth"functionisconstructedthatapproximatelyfitsthedata.Arelatedtopicisregressionanalysis,whichfocusesmoreonquestionsofstatisticalinferencesuchashowmuchuncertaintyispresentinacurvethatisfittodataobservedwithrandomerrors.Fittedcurvescanbeusedasanaidfordatavisualization,toinfervaluesofaf
3、unctionwherenodataareavailable,andtosummarizetherelationshipsamongtwoormorevariables.Extrapolationreferstotheuseofafittedcurvebeyondtherangeoftheobserveddata,andissubjecttoadegreeofuncertaintysinceitmayreflectthemethodusedtoconstructthecurveasmuchasitreflectstheobserveddata.ResearchandA
4、pplicationofaNewMethodofCurveFitting.Thetechniqueofcurvefittingisusedproverbiallyfortheimageprocessing,reverseengineering,testdataprocessing,etc.Itisinequitabletoprocessphysicalparametersbysomeusualmethodsofcurvefitting.Thosemethodsareperformedonlybyminimizingthefittingerrorofonephysica
5、lparameter,butdonottakeotherparametersintoaccount.ThenewmethodofcurvefittingprocesseseachphysicalparameterequallyThesimulationalsoprovesthatthisnewcurvefittingmethodisrightandeffective.Intheexperimentofsoundvelocity,thevoltammetrytomeasuretheresistanceexperimentandthevolt-amperecharacte
6、risticofdiodeexperimentdataprocessingasanexample,introducedtheexperimentdataprocessingbasedonMATLAB.Withthetraditionalexperimentaldataprocessingmethods,experimentaldataisprocessedbyusingMATLABcaneffectivelyavoidtheerrorcausedbymanualprocessing,butalsocanreducethecomputationalworkload,ob
7、tainaccuratecurvefitting,therebyincreasingtheaccuracyofdataprocessingandfast,romgraphicdisplayresultsalsocanbemoreintuitivetojudgethevalidityoftheexperiment.MathematicalexpressionGivensetofdiscretedata(xk,yk)(k=1,2,…,m),(1)Wherexkistheindependentvariablex(scalarorvector,i.e.,am
