The Assessment of the Wavelet Transform Theory: Application to the Electrocardiogram Signal

dc.contributor.authorChouakri, S. A.en_US
dc.contributor.authorBereksi-Reguig, F.en_US
dc.date.accessioned2012-05-24T09:21:44Zen_US
dc.date.available2012-05-24T09:21:44Zen_US
dc.date.issued2003-09-29en_US
dc.descriptionConférence Internationale sur les Systèmes de Télécommunication , d’Electronique Médicale et d’Automatique, CISTEMA’2003en_US
dc.description.abstractWe present in this work the efficiency of the wavelet transform, in exploring non-stationary signals such as those containing transients and discontinuities, and time varying spectra signals. We examine the nonstationarity problem as well as the alternative solutions suggested to deal with like the time-frequency analysis. In this context, we have applied the continuous wavelet transform –CWT- to a set of classical types of signals showing each a particular feature and to a real signal, which is the electrocardiogram ECG signal to evaluate the CWT efficiency. The obtained results demonstrated the higher ability of the wavelet transform in localizing specified temporal and spectral features of a signal.en_US
dc.identifier.urihttps://dspace.univ-tlemcen.dz/handle/112/853en_US
dc.language.isoenen_US
dc.subjectWavelet transformen_US
dc.subjecttime-frequency analysisen_US
dc.subjectECG signalen_US
dc.titleThe Assessment of the Wavelet Transform Theory: Application to the Electrocardiogram Signalen_US
dc.typeArticleen_US

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