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Another possible option of only slightly more computational complexity than running something like 2 sets of 10 sections, might be to simply lowpass the real input, complex heterodyne that result up (or down) in frequency by the lowpass cutoff frequency to IQ, lowpass both the I and Q again, then complex heterodyne back down (or up) to complex baseband. ...


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It depends on both on the signal content and on the EMD implementation. EMD can be sensitive to time shifts, especially with strong transients, to noise power. Robust or constrained EMD on single signal or multivariate signals have been developed. Your question relates to signal morphology, processing purpose, and quality metrics. I doubt they can be ...


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I'm sure you came across Ensemble. Spr EMD. I forget where I read this (not my idea) but I have in my head a technique that is basically to add a higher frequency sine wave on top of your signal. The frequency of wave you add needs to be far from frequency of interest. Speculating as to how this could help I would say the high freq content of your added ...


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Indeed, at least in my experience, computing IMFs can be sensitive to borders, impulse signals and noise realizations. As you are interested in wavelets, note that in Empirical mode decomposition as a filter bank a link is made with DWT: we report here on numerical experiments based on fractional Gaussian noise. In such a case, it turns out that EMD ...


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