During the last decade，Hidden Markov Models (HMMs) have become a widespread tool for modeling sequence of dependent variables. Parameter estimation of HMMs is most important in actual application. By changing continued-time HMMs into discrete-time HMMs, we consider maximum likelihood estimation for a special HMMs which is called Markov-modulated Poisson processes. Such processes have been proposed for modeling traffic streams in complex telecommunication networks.