A Class of Stong Deviation Theorems of Function of Two Variables for Nonhomogeneous Markov Information Sourses
Yuhui Liu · Science Technology and Engineer · 2005
The notion of entropy density divergence of information is introduced and obtained a class of strong deviation theorems of function of two variables. The limit theorem which is a further study of Shannon- McMillan theorem of Markov information sourses is given by introducing the notion of the average random conditional entropy.