Welcome to pyeemd’s documentation!

This is the documentation of pyeemd, which is a Python wrapper for libeemd, a C library for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD).

If you have any questions or problems with pyeemd, or you wish to propose enhancements, please check out the main project website.

If you use pyeemd for scientific work please cite: (link, arXiv)

Luukko, P. J. J., Helske, J. & Räsänen, E., Comput. Stat. 31, 545 (2016)

This article also describes in detail what libeemd actually computes. You should definitely read it if you are unsure about what EMD, EEMD and CEEMDAN are.

Indices and tables