数字电路互信息分析

发布时间：2018-05-16 06:40

本文选题：信息论 + 信息熵　；参考：《中国科学:信息科学》2017年01期

【摘要】：信息论是研究信息流通系统的有效工具,其信息熵表征了信息的不确定度,互信息表征了通信前后系统不确定度的减少量.通信中常用互信息来表征通信系统的处理能力,并且其与信道容量以及电路功率息息相关,因此本论文考虑利用信息论的观点分析数字电路.通过对电路抽象建模,将电路分为了对称信道、非对称信道、无反馈以及反馈电路4种模型.分别讨论了不同模型下,互信息的变化趋势以及影响因素,并证明出反馈对电路具有容错增益以及互信息增益.本文的分析方法适用于其他电路,且由于不涉及具体的电路形式,可以为之后的电路设计提供理论基础.
[Abstract]:Information theory is an effective tool to study information flow system. Its information entropy represents the uncertainty of information, and mutual information represents the reduction of uncertainty before and after communication. Mutual information is commonly used to represent the processing power of the communication system, and it is closely related to the channel capacity and circuit power. Therefore, this paper considers the use of information theory to analyze digital circuits. By modeling the circuit abstractly, the circuit is divided into four models: symmetric channel, asymmetric channel, non-feedback and feedback circuit. The variation trend and influencing factors of mutual information in different models are discussed, and it is proved that feedback has fault-tolerant gain and mutual information gain for the circuit. The analytical method in this paper is applicable to other circuits, and because it does not involve specific circuit forms, it can provide a theoretical basis for the subsequent circuit design.
【作者单位】：电子科技大学通信抗干扰国家级重点实验室;
【基金】：国家自然科学基金(批准号:61371104) 国家高技术研究发展计划(863)(批准号:2014AA01A707)资助项目
【分类号】：TN79

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