Abstract
Frequency-resolved optical gating (FROG) is a method for measuring the time-dependent intensity and phase of an ultrashort laser pulse. In FROG a nonlinear autocorrelation signal is frequency resolved by a spectrometer to produce a FROG trace, which is a type of spectrogram of the pulse.1 This two-dimensional FROG trace is input into a phase-retrieval-based iterative algorithm, that determines the intensity and phase of the laser pulse. Although the FROG algorithm performs well, it is desirable in some situations to have a noniterative computational method capable of quickly solving the highly nonlinear and unknown function that relates the ultrashort pulse intensity and phase to its experimental FROG trace. We show that adaptive neural networks can obtain the intensity and phase of a pulse from its FROG trace. Because neural networks permit the use of very simple, fast, and powerful parallel-processing hardware, waveform recovery could be nearly instantaneous.
© 1995 Optical Society of America
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