Applications of complex valued neural networks to optical signal processing using phase sensitive detection schemes are proposed and discussed In optical information processing systems the advantages of complex valued neural networks are realized directly utilizing physical phenomena of lightwave and phase sensitive optical detection In the proposed system the summation and nonlinear transform ...

To improved photoelectric detection performance and enhance the target recognition rate in photoelectric detection system, this paper set up target optical property model in photoelectric detection area based on the theoretical knowledge of illumination, analyze the influence factor of detection system, give the calculation and deduction; set up the D-S data fusion reasoning model and research ...

Optical computing uses photons as information carriers, opening up the possibility for ultrahigh-speed and ultrawide-band information processing. Integrated all-optical logic devices are indispensible core components of optical computing systems. However, up to now, little experimental progress has been made in nanoscale all-optical logic discriminators, which have the function of discriminatin...

The conversion of phase variations in an optical wavefield into intensity information is fundamental importance for imaging technology including microscopy biological cells. While conventional approaches to phase-imaging commonly rely on bulky components or computational post processing, meta-optical devices have recently demonstrated all-optical, ultracompact image processing methods. Here we ...