The paper deals with a new method for automatically detecting and classifying transient signals. The method is based on wavelet networks which combine the aptitude of the wavelet transform in analyzing nonstationary signals with the classification capabilities of artificial neural networks. A detailed description of the wavelet network structure is first given. Then, the fundamental stages of the proposed method are presented. The first results obtained from the application of the method to transients typical of a significant field are finally shown.
Method based on wavelet networks for the detection and classification of transients / Angrisani, Leopoldo; P., Daponte; D'Apuzzo, Massimo. - STAMPA. - 2:(1998), pp. 903-908. (Intervento presentato al convegno IMTC tenutosi a St.Paul, MN, USA nel 1998).
Method based on wavelet networks for the detection and classification of transients
ANGRISANI, LEOPOLDO;D'APUZZO, MASSIMO
1998
Abstract
The paper deals with a new method for automatically detecting and classifying transient signals. The method is based on wavelet networks which combine the aptitude of the wavelet transform in analyzing nonstationary signals with the classification capabilities of artificial neural networks. A detailed description of the wavelet network structure is first given. Then, the fundamental stages of the proposed method are presented. The first results obtained from the application of the method to transients typical of a significant field are finally shown.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
