The Interactions Between Ergodic Theory and Information Theory

The Interactions Between Ergodic Theory and Information Theory
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遍历理论与信息论之间的相互作用

DOI:
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发表时间:
1998
影响因子:
2.5
通讯作者:
P. Shields
P. Shields
中科院分区:
计算机科学2区
文献类型:
--
作者:
P. Shields

文献摘要

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相似文献

信息论学者经常使用遍历定理;同样,熵的概念也经常在信息论中使用。最近,随着每个学科中更深入的成果在另一个学科中得到应用,这两个学科部分地交织在一起。本文介绍了这种相互作用的简史,并更详细地探讨了三个相关领域,即递归理论、爆破界和直接样本路径方法。
Information theorists frequently use the ergodic theorem; likewise entropy concepts are often used in information theory. Recently, the two subjects have become partially intertwined as deeper results from each discipline find use in the other. A brief history of this interaction is presented in this paper, together with a more detailed look at three areas of connection, namely, recurrence theory, blowing-up bounds, and direct sample-path methods.