The Hilbert-Huang Transform: Tools and Methods

Builds on the EMD package to provide additional tools for empirical mode decomposition (EMD) and Hilbert spectral analysis. It also implements the ensemble empirical decomposition (EEMD) and the complete ensemble empirical mode decomposition (CEEMD) methods to avoid mode mixing and intermittency problems found in EMD analysis. The package comes with several plotting methods that can be used to view intrinsic mode functions, the HHT spectrum, and the Fourier spectrum.


NEWS for hht

2.0-1 The EEMD function now uses a Gaussian noise time series by default. Originally it used a uniform random noise distribution. This original functionality is still available by setting noise.type = "uniform."

2.0-2 Fixed a bug that threw errors with large arrays were initialized.

2.1.1 Added the Complete Ensemble Empirical Mode Decomposition (CEEMD) algorithm

2.1.2 Added appropriate citation

2.1.3 Fixed compatibility issues with R 3.3.0

Reference manual

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2.1.4 by Daniel C. Bowman, 7 months ago

Browse source code at

Authors: Daniel C. Bowman [aut, cre] , Jonathan M. Lees [ctb]

Documentation:   PDF Manual  

Task views: Time Series Analysis

GPL (>= 3) license

Imports EMD, fields, spatstat.geom, spatstat.core, spatstat.linnet, spatstat

Imported by DecomposeR.

See at CRAN