Experimental demonstration of tunable optical de-aggregation of each of multiple wavelength 16-QAM channels into two 4-PAM channels | IEEE Conference Publication | IEEE Xplore

Experimental demonstration of tunable optical de-aggregation of each of multiple wavelength 16-QAM channels into two 4-PAM channels


Abstract:

We experimentally demonstrate tunable all-optical simultaneous de-aggregation of multiple wavelength 16-QAM channels into two 4-PAM channels using a single stage nonlinea...Show More

Abstract:

We experimentally demonstrate tunable all-optical simultaneous de-aggregation of multiple wavelength 16-QAM channels into two 4-PAM channels using a single stage nonlinear element. Tunability of the proposed approach over modulation format and bitrate is shown by de-aggregation of multiple channels for 10/15-Gbaud QPSK signals into two BPSK signals.
Date of Conference: 19-23 March 2017
Date Added to IEEE Xplore: 01 June 2017
ISBN Information:
Conference Location: Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Infinera Corporation, Sunnyvale, CA, USA
School of Electrical Engineering, Tel Aviv University, Ramat Aviv, Israel
Edward L. Ginzton Laboratory, Stanford University, Stanford, CA, USA
Edward L. Ginzton Laboratory, Stanford University, Stanford, CA, USA
Information Sciences Institute, University of Southern California, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA

Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA
Infinera Corporation, Sunnyvale, CA, USA
School of Electrical Engineering, Tel Aviv University, Ramat Aviv, Israel
Edward L. Ginzton Laboratory, Stanford University, Stanford, CA, USA
Edward L. Ginzton Laboratory, Stanford University, Stanford, CA, USA
Information Sciences Institute, University of Southern California, CA, USA
Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA

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