熵信号和数据处理的理论、范围和工具的发展

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI:10.1109/ACIT49673.2020.9208912

A. Voronych, L. Nykolaychuk, T. Grynchyshyn, V. Hryha, S. Melnychuk, Y. Nykolaychuk

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引用次数: 1

摘要

给出了随机信息熵计算的理论基础。对已知熵估计的解析表达式进行了分类。对熵的概率测度和相关测度估计的信息特征进行了比较分析。综述了熵分析的范围、熵计算的软件和硬件工具。提出了专用熵计算处理器的硬件特性和时间复杂度的技术解决方案。提出了香农熵估计功能的扩展，并开发了用于在网络物理系统环境中形成和接收加密保护的熵操纵信号的特殊处理器。

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Development of Theory, Scope and Tools for Entropy Signals and Data Processing

There are presented theoretical bases of entropy calculation for random messages. The analytical expressions of known entropy estimates are classified. A comparative analysis of the information characteristics for the estimates of the probability and correlation measures of entropy is performed. There is also reviewed the scope of entropy analysis, software and hardware tools for entropy calculation. The characteristics of hardware and time complexity of circuit-technical solutions of special entropy calculation processors are developed. There is proposed an extension of Shannon's entropy estimation functionalities and development of special processors for the forming and receiving of crypto-protected entropy-manipulated signals in the environment of cyber-physical systems.

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2020 10th International Conference on Advanced Computer Information Technologies (ACIT)

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