Ptychographic reconstruction algorithm for FROG: Supreme robustness and super-resolution

@article{Sidorenko2016PtychographicRA,
  title={Ptychographic reconstruction algorithm for FROG: Supreme robustness and super-resolution},
  author={Pavel Sidorenko and Oren Lahav and Zohar Avnat and Oren Cohen},
  journal={2016 Conference on Lasers and Electro-Optics (CLEO)},
  year={2016},
  pages={1-2}
}
We propose and demonstrate a ptychographic-based algorithm for characterizing ultrashort laser pulses from FROG spectrograms. Our approach is highly robust, even when the spectrograms are incomplete; spectrally filtered or under-sampled in the time delay axis. 

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Deep Learning Reconstruction of Ultrashort Pulses

2018 Conference on Lasers and Electro-Optics (CLEO) • 2018
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Recovering Signals from their FROG Trace

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2018
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Nonlinear refractive index measurement by temporal phase reconstruction

2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) • 2017

On the Uniqueness of FROG Methods

IEEE Signal Processing Letters • 2017
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