The universal typical-signal estimators of entropy and cross entropy based on the asymptotics of recurrence and waiting times play an important role in information theory. Building on their construction, we introduce and study universal typical-signal estimators of entropy production in the context of nonequilibrium statistical mechanics of one-sided shifts over finite alphabets.
翻译:建立在重复和等待时间的无症状基础上的普遍典型信号估计引言和交叉引言的典型估计符在信息理论中起着重要作用。 在其构建基础上,我们引入并研究在单向移动定数字母的不均匀统计力学背景下的普遍典型信号估计符。