Statistical analysis and modeling of analog optical processors

Dogan A. Timucin; John F. Walkup; Thomas F. Krile

doi:10.1117/12.163574

9 November 1993 Statistical analysis and modeling of analog optical processors

Dogan A. Timucin, John F. Walkup, Thomas F. Krile

Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163574
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

A generic three-plane optical processor is investigated from a statistical viewpoint. The means and the mutual coherence functions of the output field amplitude and intensity are derived. The photodetection process is then studied, and the mean and the autocorrelation function of the output current are found, thus establishing the functional form of the signal dependence of noise at the processor output. An integral equation and a series expression are also presented for the probability density function of the output signal. A special case is then analyzed, and the use of these expressions is demonstrated. Finally, device models to be used within this framework are summarized.

Citation Download Citation

Dogan A. Timucin, John F. Walkup, and Thomas F. Krile "Statistical analysis and modeling of analog optical processors", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); https://doi.org/10.1117/12.163574

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