为了研究可列隐Markov模型的熵率存在性,首先引入隐非齐次Markov模型的定义,并进一步证明了它的两个基本性质,然后,利用非齐次Markov模型的一个Cesaro平均收敛定理,运用研究非齐次Markov链熵率存在性的方法,给出了隐非齐次Markov模型的一类熵率存在定理,为隐Markov模型的应用提供了理论依据.
This paper mainly studies the existence problem of entropy rate for hidden nonhomogeneous Markov models about Information Theory. The definition of hidden Markov model and a Cesaro average convergence theorem for nonhomogeneous Markov chains are given ahead of the main outcomes.