Volume 9, Number 11, August 2019

Inspection of Methods of Empirical Mode Decomposition

  Authors

Roberto Hernández Santander and Esperanza Camargo Casallas, Universidad Distrital Francisco José de Caldas, Colombia

  Abstract

Empirical Mode Decomposition is an adaptive and local tool that extracts underlying analytical components of a non-linear and non-stationary process, in turn, is the basis of Hilbert Huang transform, however, there are problems such as interfering modes or ensuring the orthogonality of decomposition. Three variants of the algorithm are evaluated, with different experimental parameters and on a set of 10 time series obtained from surface electromyography. Experimental results show that obtaining low error in reconstruction with the analytical signals obtained from a process is not a valid characteristic to ensure that the purpose of decomposition has been fulfilled (physical significance and no interference between modes), in addition, freedom must be generated in the iterative processes of decomposition so that it has consistency and does not generate biased information. This project was developed within the framework of the research group DIGITI of the Universidad Distrital Francisco José de Caldas.

  Keywords

EMD, EEMD, CEEMDAN, mix of modes, non-linearity and non-stationarity.

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