Journal
OPTICAL FIBER TECHNOLOGY
Volume 45, Issue -, Pages 306-312Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.yofte.2018.08.007
Keywords
Nonlinear shaping; Machine learning; Nonlinear fiber optics
Funding
- Institut Universitaire de France (IUF)
- Agence Nationale de la Recherche (Labex ACTION program) [ANR-11-LABX-01-01]
Ask authors/readers for more resources
We present a general method to determine the parameters of nonlinear pulse shaping systems based on pulse propagation in a normally dispersive fiber that are required to achieve the generation of pulses with various specified temporal properties. The nonlinear shaping process is reduced to a numerical optimization problem over a three-dimensional space, where the intersections of different surfaces provide the means to quickly identify the sets of parameters of interest. We also show that the implementation of a machine-learning strategy can efficiently address the multi-parameter optimization problem being studied.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available