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000000086 001__ 86
000000086 037__ $$aENY-PREPRINT-2008-003
000000086 041__ $$aeng
000000086 100__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000086 245__ $$aClassification of Electric Signals Based on Time-Frequency Signal Decomposition
000000086 260__ $$c2007-03-30
000000086 300__ $$a4p
000000086 500__ $$anot published
000000086 520__ $$aA classification procedure based on time-frequency decomposition of the signal is presented. Parametric spectral ESPRIT method is used for estimation of relevant parameters of signal components and specific areas of the time-frequency plane are chosen, where the signal is expected to show most characteristic patterns. Classification is based on time-domain correlation of reconstructed signals. It is applied to event classification of non-stationary electric signals obtained from a simulated power converter.
000000086 6531_ $$aSignal analysis
000000086 6531_ $$atime-frequency analysis
000000086 6531_ $$apattern classification
000000086 6531_ $$acorrelation
000000086 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000086 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/86/files/$$zAccess to Fulltext
000000086 909CO $$ooai:zet10.pwr.wroc.pl:86$$pglobal
000000086 980__ $$aPREPRINT