Referenced Items are not available for this document.
A technique using artificial neural networks trained with parameters derived from reconstructed eye diagrams for multi-impairment monitoring in a 40-Gbps RZ-OOK system is demonstrated. The proposed monitoring scheme can accurately identify simultaneous impairments without requiring data clock recovery.
Published in:
Quantum Electronics Conference & Lasers and Electro-Optics (CLEO/IQEC/PACIFIC RIM), 2011
Date of Conference: Aug. 28 2011-Sept. 1 2011
- Page(s):
- 563 - 565
- Print ISBN:
- 978-1-4577-1939-4
- INSPEC Accession Number:
- 12712528
- Conference Location :
- Sydney, NSW
- Digital Object Identifier :
- 10.1109/IQEC-CLEO.2011.6193685
- Product Type:
- Conference Publications
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