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Highlights from
A Collection of Fitting Functions

• build_mix_2D_gaussian( u_c,co... % build_mix_2D_gaussian - build a distribution of a mixed gaussian
• build_mix_gaussian( u_c,sig_c... % build_mix_gaussian - build a distribution of a mixed gaussian
• fit_ML_laplace( x,hAx ) fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!.
• fit_ML_log_normal( x,hAx ) fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!.
• fit_ML_maxwell( x,hAx ) fit_ML_maxwell - Maximum Likelihood fit of the maxwellian distribution of i.i.d. samples!.
• fit_ML_normal( x,hAx ) fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!.
• fit_ML_rayleigh( x,hAx ) fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!.
• fit_maxwell_pdf( x,y,W,hAx ) fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution.
• fit_mix_2D_gaussian( X,M ) % fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm
• fit_mix_gaussian( X,M ) % fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm
• fit_rayleigh_pdf( x,y,W,hAx ) fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh distribution.
• plot_laplace( x,params,hAx,pl... plot the laplace distribution with parameter "u" and "b"
• plot_log_normal( x,params,hAx... plot the log-normal distribution with parameters "m" and "s"
• plot_maxwell( x,params,hAx,pl... plot the maxwell distribution with parameter "a"
• plot_mix_gaussian( u,sig,prob... % plot_mix_gaussian - plot the samples and the estimation.
• plot_normal( x,params,hAx,plo... plot the normal distribution with parameter "u" and "sig2"
• plot_rayleigh( x,params,hAx,p... plot the rayleigh distribution with parameter "a"
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