Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)

• Category: 单通道盲源分解
• Development language: matlab
• Operating platform / Operating system: Windows7以上
• Compilation tools and environment: matlab
• Version: v1.0
• Access: 在线共享
• GitHub download path: https://gitee.com/three-poles/BlindSourceDecomposition/

Method description:

Compared with EMD and EEMD, CEEMDAN can further eliminate mode aliasing.

• 安装方式：安装matlab

  运行方式：matlab运行example.m

  输入变量：时间序列信号

  输出变量：模态函数分量，最后一个IMF为趋势项

  依赖库文件：emd.m、eemd.m、ceemdan.m

  二维码：

  

  
  

  https://gitee.com/three-poles/BlindSourceDecomposition/