Publication | Closed Access
on the Influence of Sampling on the Empirical Mode Decomposition
89
Citations
2
References
2006
Year
Unknown Venue
Numerical AnalysisSampling (Signal Processing)Statistical Signal ProcessingEngineeringData ScienceMultidimensional Signal ProcessingComplete EmdBasic OperatorSignal ReconstructionSampling TheorySpectral AnalysisInverse ProblemsNonlinear Signal ProcessingEmpirical Mode DecompositionUpper BoundApproximation TheorySignal ProcessingStatistics
The rationale underlying the nonlinear empirical mode decomposition method is intrinsically a continuous-time approach. The method can however only be applied in practice to discrete-time signals. EMD is obtained through iterating a basic nonlinear operator for which we derive an upper bound for the effects of sampling. Finally the effects of sampling for a complete EMD are assessed using the knowledge on the basic operator
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