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Improved complete ensemble EMD: A suitable tool for biomedical signal processing
(Elsevier, 2014-11)
The empirical mode decomposition (EMD) decomposes non-stationary signals that may stem from nonlinear systems, in a local and fully data-driven manner. Noise-assisted versions have been proposed to alleviate the so-called ...
Serial-EMD: Fast Empirical Mode Decomposition Method for Multi-dimensional Signals Based on Serialization
(Elsevier Science Inc., 2021-09)
Empirical mode decomposition (EMD) has developed into a prominent tool for adaptive, scale-based signal analysis in various fields like robotics, security and biomedical engineering. Since the dramatic increase in amount ...
An unconstrained optimization approach to empirical mode decomposition
(Academic Press Inc Elsevier Science, 2015-05)
Empirical mode decomposition (EMD) is an adaptive (data-driven) method to decompose non-linear and non-stationary signals into AM-FM components. Despite its well-known usefulness, one of the major EMD drawbacks is its lack ...
Detection of the Glottal Closure Instants Using Empirical Mode Decomposition
(Birkhauser Boston Inc, 2017-11)
This work explores the effectiveness of the Intrinsic Mode Functions (IMFs) of the speech signal, in estimating its Glottal Closure Instants (GCIs). The IMFs of the speech signal, which are its AM–FM or oscillatory components, ...
Features extraction method for brain-machine communication based on the empirical mode decomposition
(World Scientific, 2013-07)
A brain-machine interface (BMI) is a communication system that translates human brain activity into commands, and then these commands are conveyed to a machine or a computer. It is proposes a technique for features extraction ...
A simple method inspired by empirical mode decomposition for denoising seismic data
(Society of Exploration Geophysicists, 2015-12)
We developed a new and simple method for denoising seismic data, which was inspired by data-driven empirical mode decomposition (EMD) algorithms. The method, which can be applied either as a trace-by-trace process or in ...