EM_UPM

Expectation-Maximization algorithme for univariate Poisson mixture

Description

em_uvp : Expectation-Maximization algorithm for a Univariate Poisson Mixture

 [logl , R , P] = em_upm(Z , R0 , P0 , [nbite]);

 Inputs
 -------

 Z Discrete measurements (1 x K x [n1] x ... x [nl])
 R0 Initial Poisson Rate. R0 can be (1 x 1 x d x [v1] x ... x [vr])
 P0 Initial mixture probablities (1 x 1 x d) : P0 can be (1 x 1 x d x [v1] x ... x [vr])
 nbite Number of iterations (defaut = 10)

 Ouputs
 --------

 logl Final loglikelihood (n1 x ... x nl x v1 x ... x vr)
 R Estimated Poisson Rate (1 x 1 x d x n1 x ... x nl x v1 x ... x vr)
 P Estimated mixture probabilities (1 x 1 x d x n1 x ... x nl x v1 x ... x vr)

• MATLAB release: MATLAB 7.5 (R2007b)
• Other requirements: A C compiler