Abstract

Fast power transients in optical communications networks are described quantitatively by means of the wavelet transform method. Their behavior can be then analyzed using an artificial neural networks model. The proposed method permits the detection and classification of the fast power transients. Numerical simulation examples are presented.

© 2006 Optical Society of America

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