IEEE Transactions on Signal Processing · 2017 · 343 citations · 47 references
EngineeringElectrical EngineeringBiomedical Signal ProcessingOptimizationTime Series AnalysisDigital Signal ProcessingModulationSignal ProcessingSpectral AnalysisTime-frequency AnalysisAdaptive Data ProcessingAlternating Direction Method Of MultipliersDemodulationNonlinear Variational FormulationSignal DecompositionWaveform Decomposition
Variational mode decomposition (VMD), a recently introduced method for adaptive data analysis, has aroused much attention in various fields. However, the VMD is formulated based on the assumption of narrow-band property of the signal model. To analyze wide-band nonlinear chirp signals (NCSs), we present an alternative method called variational nonlinear chirp mode decomposition (VNCMD). The VNCMD is developed from the fact that a wideband NCS can be transformed to a narrow-band signal by using demodulation techniques. Our decomposition problem is, thus, formulated as an optimal demodulation problem, which is efficiently solved by the alternating direction method of multipliers. Our method can be viewed as a time-frequency filter bank, which concurrently extracts all the signal modes. Some simulated and real data examples are provided showing the effectiveness of the VNCMD in analyzing NCSs containing close or even crossed modes.
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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
Jérôme Gilles · IEEE Transactions on Signal Processing · 2013 · 2.2K citations · Full text
Engineering, Electrical Engineering, Biomedical Signal Processing +9