熵算法在脑电处理用的应用的几篇文章 基于排列组合熵的脑电信号睡眠分期研究 基于小波变换与近似熵的睡眠分期研究 睡眠脑电的关联维数和样本熵分析 等-EEG entropy algorithm in the application used for treatment of several articles based on permutation entropy of EEG sleep stages and the approximate entropy based on wavel

针对表面肌电信号的混沌特征、噪声强等特点，该文提出了基于排列组合熵的表面肌电信号特征分析方法-The chaotic characteristics of the surface EMG signal and noise characteristics, this paper proposes a sEMG analysis method based on permutation entropy

谱聚类熵值排列通过求n 个二次规划问题，就可以求得相似度矩阵W，降低了谱聚类算法对参数的敏感性，使算法更稳定(Clustering Entropy Ranking By finding n quadratic programming problems, we can obtain the similarity matrix W, which reduces the sensitivity of the spectral clustering algorithm to the parameters

VMD代码，该程序对信号进行经验模式分解，可以用于故障信号处理，还可以与很对方法结合。如，排列熵，emd,vmd,等，包含VMD、EMD、EEMD工具箱，可用于变分模态分解、EMD以及EEMD谐波检测对对比分析(VMD code, the program for empirical mode decomposition of signals, can be used for fault signal processing, can also be combined with a very goo