The on-chip detection of a weak optical signal in biological experiments can easily be complicated by the presence of an overwhelming background signal, and as such, pre-detection background suppression is substantively important for weak signal detection. In this paper, we report a structure that can be directly incorporated onto optical sensors to accomplish background suppression prior to de...

In the look-down/shoot-down scenario, the next generation of air-to-surface missiles will rely on IR sensors and advanced signal processing to detect small (or point) targets in highly cluttered and noisy environments. In this paper, we present a novel wavelet detection algorithm which incorporates adaptive CFAR detection statistics using the bootstrap method. Following detection, the estimate ...

A receiver for optical frequency modulated signals, based on colorless demodulation and detection, is presented. An integrated combination of semiconductor optical amplifier (SOA) and reflective electroabsorption modulator (REAM) is designed to obtain a comb-like spectral detection function, replacing the typically required costly frequency discrimination filter. The spectral properties of the ...

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

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 ...