Application of Wavelet Networks for Identification of Transients in Optical Networks

Author

Ben-Ezra, Y. ; Mahlab, U. ; Lembrikov, B.I. ; Dolev, E.

Author_Institution

Dept. of Electr. Eng., Holon Inst. of Technol.

Volume

1

fYear

2006

fDate

18-22 June 2006

Firstpage

111

Lastpage

114

Abstract

The analysis of fast power transient signals in optical networks is critical for the support of the network operational regime. We propose a novel method that permits the detection and classification of the fast power transients using the wavelet network (WN), combining the properties of a wavelet transform (WT) and an artificial neural networks (ANN). The transients are described qualitatively by means of WT method. Their behavior can be then analyzed using ANN model. The examples of the method implementation are presented

Keywords

neural nets; optical engineering computing; optical fibre networks; telecommunication computing; wavelet transforms; ANN; artificial neural networks; optical networks; power transient signals; wavelet networks; wavelet transform; Artificial neural networks; Erbium-doped fiber amplifier; Fourier transforms; Optical amplifiers; Optical fiber networks; Optical receivers; Power amplifiers; Signal analysis; Transient analysis; Wavelength division multiplexing; artificial neural networks; optical networks; transients; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Transparent Optical Networks, 2006 International Conference on

Conference_Location

Nottingham

Print_ISBN

1-4244-0235-2

Electronic_ISBN

1-4244-0236-0

Type

conf

DOI

10.1109/ICTON.2006.248255

Filename

4013668