/ 拟合函数--高斯，拉普拉斯，双高斯拟合
拟合函数--高斯，拉普拉斯，双高斯拟合
拟合函数--高斯，拉普拉斯，双高斯拟合
%Thisfoldercontainsacollectionof"fitting"functions.%(Somehasdemooptions-thethirdsection)%TheGENERALinputtothefunctionsshouldbesamplesofthedistribution.%%forexample,ifwearetofitanormaldistribution('gaussian')withamean"u"andvaraince"sig"^2%thenthesampleswilldistributelike:%samples=randn(1,10000)*sig+u%%fittingwithLeast-Squaresisdoneonthehistogramofthesamples.%fittingwithMaximumlikelihoodisdonedirectlyonthesamples.%%%Contentsofthisfolder%=======================%1)Maximumlikelihoodestimators%2)Leastsquaresestimators%3)EMalgorithmforestimationofmultivariantgaussiandistribution(mixedgaussians)%4)addedfolders:Create-whichcreatesamplesfortheEMalgorithmtest%Plot-usedtoploteachofthedistributions(parametricplot)%%%%%%Maximumlikelihoodestimators%=============================%fit_ML_maxwell-fitmaxwelliandistribution%fit_ML_rayleigh-fitrayleighdistribution%(whichisforexample:sqrt(abs(randn)^2+abs(randn)^2))%fit_ML_laplace-fitlaplacedistribution%fit_ML_log_normal-fitlog-normaldistribution%fit_ML_normal-fitnormal(gaussian)distribution%%NOTE:allestimatorsareefficientestimators.forthisreason,thedistribution%mightbewritteninadifferentway,forexample,the"Rayleigh"distribution%isgivenwithaparameter"s"andnot"s^2".%%%leastsquaresestimators%=========================%fit_maxwell_pdf-fitsagivencurveofamaxwelliandistribution%fit_rayleigh_pdf-fitsagivencurveofarayleighdistribution%%NOTE:thesefitfunctionareusedonahistogramoutputwhichislikeasampled%distributionfunction.thegivencurveMUSTbenormalized,sincetheestimator%istryingtofitanormalizeddistributionfunction.%%%%%MultivariantGaussiandistribution%==================================%fordemoof1
%Thisfoldercontainsacollectionof"fitting"functions.%(Somehasdemooptions-thethirdsection)%TheGENERALinputtothefunctionsshouldbesamplesofthedistribution.%%forexample,ifwearetofitanormaldistribution('gaussian')withamean"u"andvaraince"sig"^2%thenthesampleswilldistributelike:%samples=randn(1,10000)*sig+u%%fittingwithLeast-Squaresisdoneonthehistogramofthesamples.%fittingwithMaximumlikelihoodisdonedirectlyonthesamples.%%%Contentsofthisfolder%=======================%1)Maximumlikelihoodestimators%2)Leastsquaresestimators%3)EMalgorithmforestimationofmultivariantgaussiandistribution(mixedgaussians)%4)addedfolders:Create-whichcreatesamplesfortheEMalgorithmtest%Plot-usedtoploteachofthedistributions(parametricplot)%%%%%%Maximumlikelihoodestimators%=============================%fit_ML_maxwell-fitmaxwelliandistribution%fit_ML_rayleigh-fitrayleighdistribution%(whichisforexample:sqrt(abs(randn)^2+abs(randn)^2))%fit_ML_laplace-fitlaplacedistribution%fit_ML_log_normal-fitlog-normaldistribution%fit_ML_normal-fitnormal(gaussian)distribution%%NOTE:allestimatorsareefficientestimators.forthisreason,thedistribution%mightbewritteninadifferentway,forexample,the"Rayleigh"distribution%isgivenwithaparameter"s"andnot"s^2".%%%leastsquaresestimators%=========================%fit_maxwell_pdf-fitsagivencurveofamaxwelliandistribution%fit_rayleigh_pdf-fitsagivencurveofarayleighdistribution%%NOTE:thesefitfunctionareusedonahistogramoutputwhichislikeasampled%distributionfunction.thegivencurveMUSTbenormalized,sincetheestimator%istryingtofitanormalizeddistributionfunction.%%%%%MultivariantGaussiandistribution%==================================%fordemoof1
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评论信息
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lppl:用来研究还不错2016-11-24 -
lenciTT:很基础就是调用matlab自带的2014-12-15
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ceachother:非常基础的拟合函数，用来研究原理不错2013-12-18
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taoyuan2309ah123:用matlab自带函数的拼凑的2013-06-24
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wingyoung:没什么特别的新意，用的也就是matlab自带函数的拼凑2013-05-08
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