IEEE Transactions on Signal Processing · 2008 · 622 citations · 14 references
EngineeringElectrical EngineeringComputational AcousticsTime Series AnalysisVibrationDigital Signal ProcessingFrequency-domain AnalysisSignal ProcessingSpectral AnalysisSpectral Data ProcessingTime-frequency AnalysisEmpirical Mode Decomposition
This paper investigates how the empirical mode decomposition (EMD), a fully data-driven technique recently introduced for decomposing any oscillatory waveform into zero-mean components, behaves in the case of a composite two-tones signal. Essentially two regimes are shown to exist, depending on whether the amplitude ratio of the tones is greater or smaller than unity, and the corresponding resolution properties of the EMD turn out to be in good agreement with intuition and physical interpretation. A refined analysis is provided for quantifying the observed behaviors and theoretical claims are supported by numerical experiments. The analysis is then extended to a nonlinear model where the same two regimes are shown to exist and the resolution properties of the EMD are assessed.
14
Norden E. Huang, Steven Long, Man‐Li C. Wu et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1998 · 23.3K citations · Full text
Computing, Computational Engineering, Biomedical Signal Processing +16
Splines: a perfect fit for signal and image processing
Michaël Unser · IEEE Signal Processing Magazine · 1999 · 1.6K citations · Full text