@inproceedings{db89069b3b084f7ba47ffa014000d455,
title = "Reconstruction of Ultrashort Pulses Using Deep Neural Networks",
abstract = "Ultrashort pulses are used in numerous applications. Characterization of these pulses requires indirect schemes. A popular technique for characterizing ultrashort pulses is frequency-resolved optical gating (FROG) [1]. It is an established and recently mathematically proven [2] approach for full characterization of the amplitude and phase of ultrashort optical pulses. The reconstruction of pulses from these FROG measurements requires an algorithm that can solve a 4th order phase retrieval problem. Such common algorithms, the Principle Component General Projections Algorithm (PCGPA) [3] and recently proposed Ptychographic FROG [4] perform well at high SNR. However, while these algorithms perform well at low SNR after filtering the FROG trace, their performance drops at raw low SNR data.",
author = "Alex Dikopoltsev and Tom Zahavy and Ron Ziv and Ittai Rubinstein and Pavel Sidorenko and Shai Mannor and Oren Cohen and Mordechai Segev",
note = "Publisher Copyright: {\textcopyright} 2018 International Union of Radio Science URSI.; 2nd URSI Atlantic Radio Science Meeting, AT-RASC 2018 ; Conference date: 28-05-2018 Through 01-06-2018",
year = "2018",
month = sep,
day = "24",
doi = "10.23919/URSI-AT-RASC.2018.8471399",
language = "英语",
series = "2018 2nd URSI Atlantic Radio Science Meeting, AT-RASC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 2nd URSI Atlantic Radio Science Meeting, AT-RASC 2018",
address = "United States",
}