Rlibeemd: Rlibeemd: Ensemble empirical mode decomposition (EEMD) and...

In helske/Rlibeemd: Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)

Rlibeemd: Ensemble empirical mode decomposition (EEMD) and its complete variant (CEEMDAN)

Description

Package Rlibeemd contains functions for the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD).

Details

Package is based on the libeemd C library: https://bitbucket.org/luukko/libeemd

Author(s)

Maintainer: Jouni Helske [e-mail] (ORCID) (R interface)

Authors:

• Perttu Luukko (ORCID) (Original libeemd C library)

References

• P. Luukko, J. Helske and E. Räsänen, "Introducing libeemd: A program package for performing the ensemble empirical mode decomposition", Computational Statistics (2015).

• Z. Wu and N. Huang, "Ensemble Empirical Mode Decomposition: A Noise-Assisted Data Analysis Method", Advances in Adaptive Data Analysis, Vol. 1 (2009) 1–41.

• N. E. Huang, Z. Shen and S. R. Long, "A new view of nonlinear water waves: The Hilbert spectrum", Annual Review of Fluid Mechanics, Vol. 31 (1999) 417–457.

• Torres et al, A Complete Ensemble Empirical Mode Decomposition with Adaptive Noise IEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-11, (2011) 4144–4147.

See Also

Useful links:

• Report bugs at https://github.com/helske/Rlibeemd/issues

helske/Rlibeemd documentation built on June 13, 2025, 8:23 a.m.