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Experimental Comparison of Artificial Neural Network and Volterra based Nonlinear Equalization for CO-OFDM
- Source :
- OFC
- Publication Year :
- 2016
- Publisher :
- OSA, 2016.
-
Abstract
- A novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonstrated for 40-Gb/s CO-OFDM at 2000 km, revealing ∼1.5 dB enhancement in Q-factor compared to inverse Volterra-series transfer function based NLE.
- Subjects :
- Signal processing
Artificial neural network
Computer science
Orthogonal frequency-division multiplexing
Cross-phase modulation
Nonlinear optics
02 engineering and technology
Transfer function
020210 optoelectronics & photonics
Modulation
Q factor
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Optical Fiber Communication Conference
- Accession number :
- edsair.doi...........5296810ab82444506c86a8c6395f1376