Classification of birefringence in mode-locked fiber lasers using machine learning and sparse representation.

@article{Fu2014ClassificationOB,
  title={Classification of birefringence in mode-locked fiber lasers using machine learning and sparse representation.},
  author={Xing Fu and Steven L. Brunton and J Nathan Kutz},
  journal={Optics express},
  year={2014},
  volume={22 7},
  pages={8585-97}
}
It has been observed that changes in the birefringence, which are difficult or impossible to directly measure, can significantly affect mode-locking in a fiber laser. In this work we develop techniques to estimate the effective birefringence by comparing a test measurement of a given objective function against a learned library. In particular, a toroidal search algorithm is applied to the laser cavity for various birefringence values by varying the waveplate and polarizer angles at… CONTINUE READING