fit_ML_rayleigh

代码说明：

  fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!. Given the samples of a rayleigh distribution, the PDF parameter is found fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format: result = fit_ML_rayleigh( x,hAx ) input: x - vector, samples with rayleigh distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields s - fitted parameter CRB - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type- ML