Improvement of empirical mode decomposition under low sampling rate

Partial Differential Equation-Based Approach for Empirical Mode Decomposition: Application on Image Analysis

“…Fitting of the splines at the extrema can produce several inconveniences: (i) problems can occur near the ends; (ii) end swings can eventually propagate inward; (iii) overshoots and undershoots could occur, (iv) influence of the sampling [32]. Some solutions were proposed in [33], [34]. In 2D versions, the main drawbacks of EMD are the definition of extrema of an image (or a surface), and the choice of the interpolation method acting on a set of scattering points.…”

A prediction model for the number of intrinsic mode functions in biomedical signals: The case of electrocardiogram

“…The experienced sensitivity of the method in the identification of the exact value and location of the extrema is related to high sampling rate. Various interpolation techniques have been proposed in the research literature in order to develop accurate extrema estimation algorithms in high and low sampling rates [29].…”

Empirical mode decomposition with missing values

“…Xu et al. (2009) proposed a hybrid extrema estimation algorithm based on Fourier interpolation to decompose signals with lower sampling rate. Diop et al.…”