The aim of this paper is to investigate the effect of sampling on the empirical mode decomposition (EMD). To this end, an experiment utilising linear frequency modulated (LFM) signals was used to simulate different sampling rates. This experiment showed that as the frequency content of the signal (fc) approached the sampling frequency (fs) the EMD performed poorly due to poor amplitude resolution. This led to a definition of a sampling limit that was 5 times the Nyqvist rate (fs/10) to improve the performance of the EMD. Comparative simulation with this sampling limit was conducted on a simulated and a real world signal. The results exhibited significant improvement in intrinsic mode function (IMF) orthogonality, the distribution of IMF ene...
The Empirical Mode Decomposition (EMD) is a signal processing technique designed to express nonstati...
The empirical mode decomposition (EMD) is a popular tool that is valid for nonlinear and nonstationa...
Empirical mode decomposition (EMD) is a tool developed for analyzing nonlinear and non stationary si...
Standard exposition of Empirical Mode Decomposition (EMD) is usually done within a continuous-time s...
The rationale underlying the nonlinear Empirical Mode Decom-position method is intrinsically a conti...
Four noise-assisted empirical mode decomposition (EMD) algorithms, i.e., ensemble EMD (EEMD), comple...
[[abstract]]A new nonlinear technique for time frequency analysis, referred to as empirical mode dec...
14 pages, 4 figures. Presented at the 1st Int. Workshop on the Advances of Hilbert-Huang Transform a...
Empirical mode decomposition (EMD) is an adaptive, data-driven algorithm that decomposes any time se...
The ‘empirical mode decomposition ’ (EMD) method has been recently proposed to deal with nonlinear a...
Empirical Mode Decomposition (EMD) has recently been in-troduced as a local and fully data-driven te...
The Empirical Mode Decomposition (EMD) is a signal analysis method that separates multi-component si...
Empirical mode decomposition (EMD) is an effective method to deal with nonlinear nonstationary data,...
Empirical mode decomposition (EMD) is an adaptive (data-driven) method to decompose non-linear and n...
International audienceThe empirical mode decomposition (EMD) is a relatively recent method introduce...
The Empirical Mode Decomposition (EMD) is a signal processing technique designed to express nonstati...
The empirical mode decomposition (EMD) is a popular tool that is valid for nonlinear and nonstationa...
Empirical mode decomposition (EMD) is a tool developed for analyzing nonlinear and non stationary si...
Standard exposition of Empirical Mode Decomposition (EMD) is usually done within a continuous-time s...
The rationale underlying the nonlinear Empirical Mode Decom-position method is intrinsically a conti...
Four noise-assisted empirical mode decomposition (EMD) algorithms, i.e., ensemble EMD (EEMD), comple...
[[abstract]]A new nonlinear technique for time frequency analysis, referred to as empirical mode dec...
14 pages, 4 figures. Presented at the 1st Int. Workshop on the Advances of Hilbert-Huang Transform a...
Empirical mode decomposition (EMD) is an adaptive, data-driven algorithm that decomposes any time se...
The ‘empirical mode decomposition ’ (EMD) method has been recently proposed to deal with nonlinear a...
Empirical Mode Decomposition (EMD) has recently been in-troduced as a local and fully data-driven te...
The Empirical Mode Decomposition (EMD) is a signal analysis method that separates multi-component si...
Empirical mode decomposition (EMD) is an effective method to deal with nonlinear nonstationary data,...
Empirical mode decomposition (EMD) is an adaptive (data-driven) method to decompose non-linear and n...
International audienceThe empirical mode decomposition (EMD) is a relatively recent method introduce...
The Empirical Mode Decomposition (EMD) is a signal processing technique designed to express nonstati...
The empirical mode decomposition (EMD) is a popular tool that is valid for nonlinear and nonstationa...
Empirical mode decomposition (EMD) is a tool developed for analyzing nonlinear and non stationary si...