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Asymptotic Behavior of Typical Sets and the Smallest High Probability Set

机译:典型集合和最小高概率集合的渐近行为

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摘要

Cardinality of typical sets and the smallest high probability set for discrete memoryless sources and stationary Markov sources are considered. Usually, its width is fixed in the definition of both sets, but sometimes it is assumed that the width converges to zero as the length of sequence n goes to infinity. In such setting, some condition for the width is necessary to make the cardinality near 2nH, where H denotes the entropy rate of the information source. In this article, we give sufficient conditions for the above propositions. We also show sufficient conditions for that they don't hold for DMS and Markov sources under a certain restriction.
机译:考虑了典型集的基数和离散无记忆源和固定马尔可夫源的最小高概率集。通常,在两个集合的定义中它的宽度都是固定的,但是有时会假设当序列n的长度达到无穷大时,该宽度收敛为零。在这样的设置中,为了使基数接近2,需要一定的宽度条件。 nH ,其中H表示信息源的熵率。在本文中,我们为上述命题提供了充分的条件。我们还显示了足够的条件,使得它们在一定限制下不适合DMS和Markov源。

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