％计算多尺度置换熵（MPE） % 输入：X：时间序列； % m：排列熵的顺序% t：置换熵的延迟时间， % Scale：比例因子 ％ 输出： % MPE：多尺度置换熵 %Ref: G Ouyang, J Li, X Liu, X Li, Dynamic Characteristics of Absence EEG Recordings with Multiscale Permutation %% Entropy Analysis, Epilepsy Research, doi: 10.1016/j.epplepsyres.2012.11.003 % G Ouyang, C Dang, X Li, 使用多尺度排列熵对 EEG 数据进行复杂性分析，% % 认知神经动力学进展 (II)，2011，第 741-745 页

In this paper we propose a new image randomness measure using Shannon entropy over local image blocks. The proposed local Shannon entropy measure overcomes several weaknesses of the conventional global Shannon entropy measure, including unfair randomness comparisons between images of different sizes, failure to discern image randomness before and after image shuffling, and possible inaccurate scores for synthesized images. Statistical tests pertinent to this new measure are also derived. This new measure is therefore both quantitative and qualitative. The parameters in the local Shannon entropy measure are further optimized for a better capture of local image randomness. The estimated statistics and observed distribution from 50,000 experiments match the theoretical ones. Finally, two examples are given, applying the proposed measure to image randomness among shuffled images and encrypted images. Both examples show that the proposed method is more effective and more accurate than the global Shannon entropy measure

传递熵 两个时间序列之间的传递熵统计的python实现。 从X到Y的转移熵，其中X，Y是两个随机过程，是一种非对称统计量度，用于测量在给定X和Y历史的情况下X的未来值的不确定性降低。或者从Y到X的信息量。通过具有条件概率的Kullback-Leibler散度

pyEntropy（pyEntrp） 这是NumPy之上的一小部分函数，​​可帮助计算用于时间序列分析的不同类型的熵。 当前可用： 信息熵shannon_entropy 样本熵sample_entropy 多尺度熵multiscale_entropy 复合多尺度熵composite_multiscale_entropy 排列熵permutation_entropy 多尺度置换熵multiscale_permutation_entropy 快速开始 pip install pyentrp 用法 from pyentrp import entropy as ent import numpy as np ts = [ 1 , 4 , 5 , 1 , 7 , 3 , 1 , 2 , 5 , 8 , 9 , 7 , 3 , 7 , 9 , 5 , 4 , 3 ] std_ts = n

熵插件 项目的开源插件：熵。

对语料进行词频统计，计算每个词出现的频数，统计出所有词的总数，求和

小波matlab代码小波熵 Matlab代码，用于计算信号的小波熵和相关量

entropy-method-matlab- implement of entropy method in matlab， 用matlab实现熵权法

Matlab写的一个基于谱熵算法的语音端点检测方法的实现

介绍了一种时间序列复杂度参数（排列熵）的论文