Paper
3 September 2008 Applying the triple correlation functions to characterizing high-frequency repetition trains of picosecond optical pulses
A. L. Muñoz Zurita, A. S. Shcherbakov, E. Tepichin-Rodriguez, S. A. Nemov, J. Campos Acosta
Author Affiliations +
Abstract
We consider an opportunity of measuring the train-averaged parameters of picosecond optical pulses with asymmetric envelopes being arranged in high-frequency repetition trains and corrupted by additive Gaussian noise. In so doing, one can exploit the temporal triple auto-correlation function, whose Fourier transformation gives the bispectrum of signal. The advantages of similar auto-correlation function consist in the capability of recovering signals almost unambiguously and low sensitivity to noise. We implement the technique and algorithmic investigation for recognizing the width as well as the magnitude and the sign of the frequency chirp peculiar to pulses with Gaussian-like, rectangular, and smooth asymmetric shapes.
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A. L. Muñoz Zurita, A. S. Shcherbakov, E. Tepichin-Rodriguez, S. A. Nemov, and J. Campos Acosta "Applying the triple correlation functions to characterizing high-frequency repetition trains of picosecond optical pulses", Proc. SPIE 7072, Optics and Photonics for Information Processing II, 707204 (3 September 2008); https://doi.org/10.1117/12.795419
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KEYWORDS
Picosecond phenomena

Interferometers

Correlation function

Interference (communication)

Reconstruction algorithms

Signal processing

Spatial coherence

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