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handle: 2117/83761
Electromagnetic interferences are potentially very complex signals formed by the superposition of transient (broadband) and continuous wave (narrowband) components with significant randomness in both amplitude and phase. Decomposing the electromagnetic interference measured in the time domain into a set of intrinsic mode functions is useful to gain insights of the process that generates the interference. Evaluating the intrinsic mode functions contributes to improving the measurement capabilities of the time-domain electromagnetic emissions measurement systems based on the general-purpose oscilloscopes. In this paper, a combination of techniques that includes empirical mode decomposition and transient mode decomposition is used to separate the main components of complex electromagnetic disturbances. This approach requires no prior information on the spectral content of the measured EMI and it does not perform a domain transformation. Examples of electromagnetic interference decomposition verify the effectiveness and the accuracy of the proposed approach. Finally, a discussion on the advantages, practical applications, limitations, and drawbacks of the described techniques is addressed.
Signal processing, Electromagnetism, :Enginyeria electrònica [Àrees temàtiques de la UPC], Digital signal processing electromagnetic compatibility electromagnetic interference electromagnetic measurements time-domain analysis, Compatibilitat electromagnètica, Àrees temàtiques de la UPC::Enginyeria electrònica, Tractament del senyal
Signal processing, Electromagnetism, :Enginyeria electrònica [Àrees temàtiques de la UPC], Digital signal processing electromagnetic compatibility electromagnetic interference electromagnetic measurements time-domain analysis, Compatibilitat electromagnètica, Àrees temàtiques de la UPC::Enginyeria electrònica, Tractament del senyal
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 46 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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