PyEMD:经验模式分解（EMD）方法的Python实现
PyEMD
链接
HTML文档： ：
问题追踪器： :
源代码存储库： :
介绍
这是经验模式分解（EMD）的另一个Python实现。 该软件包包含许多EMD变体，并打算及时交付。
EMD变体：
集成EMD（EEMD），
“完整的EMD组合”（CEEMDAN）
香草EMD的不同设置和配置。
图像分解（EMD2D和BEMD）（实验性，不支持）
PyEMD允许将不同的样条曲线用于包络，停止准则和极值插值。
可用花键：
自然立方[默认]
点向立方
秋间
线性的
可用的停止标准：
柯西收敛[默认]
固定迭代次数
连续原型IMF的数量
极端检测：
离散极值[默认]
抛物线插值
安装
受到推崇的
只需直接从GitHub或使用命令行下载此目录：
$ git clone
然后进入下载的项目并从命令行运行：
$ python setup.py安装
皮皮
从PyPi
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明