| 广义熵与样本熵差渐近计算 |
| |
| 引用本文： | 吴敏金.广义熵与样本熵差渐近计算[J].上海师范大学学报(自然科学版),1992(1). |
| |
| 作者姓名： | 吴敏金 |
| |
| 作者单位： | 华东师范大学教育信息技术系 |
| |
| 摘 要： | 本文引进(k,s)阶广义熵,q阶Shannon熵及q阶Renvi熵。考察其极值性,单调性等基本特性,论述其作为随机模式在主观先验知识条件下不肯定性度量之特征。通过与数据方差的比较,阐明数据熵差作为数据差异性度量的一系列性质。最后利用对数(?)函数给出样本熵差的渐近计算。
|
| 关 键 词： | Shannon熵 Renyi熵 样本熵差 |
General Entropy and Asymptotic Calculation of Sampled Entropy Difference |
| |
| WU MINJIN.General Entropy and Asymptotic Calculation of Sampled Entropy Difference[J].Journal of Shanghai Normal University(Natural Sciences),1992(1). |
| |
| Authors: | WU MINJIN |
| |
| Institution: | WU MINJIN Department of Educational Information Technology |
| |
| Abstract: | The general entropy of(k,s)order is introduced and its extremum and mono tony are also demonstrated.The general Shannon entropy and Renyi entropy of q order can be regarded as a measure of uncertainty under subjectivity.Comparing with data variance,the data entropy difference is a measurement of data variety. Using logarithmic T functions,the asymptotic calculations of sampled entropy differenee are given. |
| |
| Keywords: | Shannon entropy Renyi entropy sampled entropy difference |
| 本文献已被 CNKI 等数据库收录！ |
