Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11002582 | Optical Fiber Technology | 2018 | 7 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Christophe Finot, Ilya Gukov, Kamal Hammani, Sonia Boscolo,