TY - GEN
T1 - Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters
AU - Lai, Junsen
AU - Yang, Aiying
AU - Sun, Yunan
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84862060600&partnerID=8YFLogxK
U2 - 10.1109/IQEC-CLEO.2011.6193685
DO - 10.1109/IQEC-CLEO.2011.6193685
M3 - Conference contribution
AN - SCOPUS:84862060600
SN - 9780977565771
T3 - 2011 Int. Quantum Electron. Conf., IQEC 2011 and Conf. Lasers and Electro-Optics, CLEO Pacific Rim 2011 Incorporating the Australasian Conf. Optics, Lasers and Spectroscopy and the Australian Conf.
SP - 563
EP - 565
BT - 2011 Int. Quantum Electr. Conf., IQEC 2011 Conf Lasers Electro-Optics, CLEO Pacific Rim 2011 Incorporating Australasian Conf. on Optics, Lasers Spectrosc. Australian Conf. Optical Fibre Technol.- Conf
T2 - 2011 International Quantum Electronics Conference, IQEC 2011 and Conference on Lasers and Electro-Optics, CLEO Pacific Rim 2011
Y2 - 28 August 2011 through 1 September 2011
ER -