Classification of Electric Signals Based on Time–frequency Signal Decomposition
نویسنده
چکیده
A classification procedure based on time-frequency decomposition of the signal is presented. Parametric spectral ESPRIT method is used for estimation of relevant parameters of signal components and specific areas of the time-frequency plane are chosen, where the signal is expected to show most characteristic patterns. Classification is based on time-domain correlation of reconstructed signals. It is applied to event classification of non-stationary electric signals obtained from a simulated power converter.
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