We propose a new parameter estimation algorithm that converge with probability one and in mean square, if the mean is the function of parameter of the probaility density function.
This recursive algorithm is applicable also even the parameters we est...
We propose a new parameter estimation algorithm that converge with probability one and in mean square, if the mean is the function of parameter of the probaility density function.
This recursive algorithm is applicable also even the parameters we estimate are multiparameter case. And the results are shown by the Computer simulation.