...文章目录 简介 公式 足球实例 编码实例 简介 1948 年，香农提出了“信息熵”(Shannon entropy/Information entropy) 的概念，才解决了对信息的量化度量问题。一条信息的信息量大小和它的不确定性有直接的关系。
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maximum Shannon entropy 最大香农熵
Shannon entropy value Shannon熵值
modified shannon entropy shannon熵
the minimum Shannon entropy 最小Shannon熵
single cylinder shannon entropy 单缸shannon熵
Shannon entropy of single cylinder 单缸Shannon熵
shannon information entropy shannon信息熵 ; 信息熵
q order Shannon fuzzy entropy q阶Shannon模糊熵
Shannon entropy was introduced to reflect the changes of internal product constitution of primary industry more clearly.
引入了信息熵的概念,更好地反映了第一产业内部产值结构的变化。
参考来源 - 第一产业内部产值结构变化及主要驱动因子研究——以成都市为例Combined with analysis of fault signals, the paper applies EMD, Singular Value analysis, SVM and Shannon entropy to the extraction and analysis of transient signals.
结合对故障信号的分析,将EMD、奇异值分析、SVM、信息熵等应用到选相过程中暂态信号的提取和分析上。
参考来源 - 基于数据挖掘技术的高压输电线路故障选相方法·2,447,543篇论文数据，部分数据来源于NoteExpress
The Shannon entropy of a message is the number of binary digits, or bits, needed to encode it.
一个讯息中的夏侬熵就是将此讯息编码所需的位元数目。
The new algorithm is compared with a number of traditional algorithms based on Shannon entropy and minimum cross entropy by applying them to various test images.
比较了新算法与基于最小交叉熵以及基于传统香农熵的阈值化算法的特点和分割性能。
Weighted entropy instead of Shannon entropy to compute the mutual information is proposed in this paper, and it has been used in medical image registration experiment.
提出了一种用加权熵代替香农熵的互信息计算方法，并将其应用于图像配准实验。
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