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Cascade channels with infinite memory

机译:级联频道带无限内存

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摘要

Two theorems are proved for a cascade channel with two components, one theorem regarding input memory and the other regarding output memory. First, we show that if both components are asymptotically input-memoryless, then the cascade channel is asymptotically input-memoryless as well. Further, we prove that if both components are α-mixing and additionally the second component is causal and asymptotically input-memoryless, then the cascade channel is α-mixing. The results allow to study memory properties of complex models by analyzing basic building blocks. Further, they can be applied to analyze memory properties of information sources at the output of a channel. The results are relevant, e. g., in connection with coding theorems, concentration inequalities, or central limit theorems. The considered model includes discrete- as well as continuous-time channels and sources with completely arbitrary alphabets.
机译:证明了两个定理,用于具有两个组件的级联信道,一个定理关于输入存储器和另一个关于输出存储器的定理。首先,我们表明,如果两个组件都是渐近输入的内记忆,那么级联信道也是渐近输入的 - 内置记忆。此外,我们证明,如果两个组分都是混合并且另外,第二组分是因果和渐近输入的记忆,则级联通道是混合。结果允许通过分析基本构建块来研究复杂模型的记忆属性。此外,可以应用它们来分析信息源的存储器属性在信道的输出端。结果是相关的,即G.,与编码定理,浓度不等式或中央限制定理有关。所考虑的模型包括离散 - 以及具有完全任意字母的连续时间信道和源。

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