The rosenblatt coefficient of dependence for $m$–dependent random sequences with applications to the ASCLT

We prove a new bound for the Rosenblatt coefficient of the normalized partial sums of a sequence of $m$-dependent random variables; this bound is used to prove a general result, from which the Almost Sure Central Limit Theorem can be deduced.