Noise and deviation effects in a bichromatic Raman white light cavity

We analyze the effects of noise and parameter deviations in a bichromatic Raman type white light cavity, with potential applications in precision measurements such as gravitational wave detection. The results show that the dispersion variation induced by parameter deviation can be controlled within $10^{-4}$. The laser phase noise decreases the dispersion magnitude while the amplitude noise increases it. Although we can always adjust the parameters to satisfy the white light condition, both noises make the cavity transmission curve uneven.Comment: 5 pages, 3 figure

Ultrafast Image Retrieval from a Holographic Memory Disc for High-Speed Operation of a Shift, Scale, and Rotation Invariant Target Recognition System

The hybrid opto-electronic correlator (HOC) architecture has been shown to be able to detect matches in a shift, scale, and rotation invariant (SSRI) manner by incorporating a polar Mellin transform (PMT) pre-processing step. Here we demonstrate the design and use of a thick holographic memory disc (HMD) for high-speed SSRI correlation employing an HOC. The HMD was written to have 1,320 stored images, including both unprocessed images and their PMTs. We further propose and demonstrate a novel approach whereby the HOC inputs are spatially shifted to produce correlation signals without requiring stabilization of optical phases, yielding results that are in good agreement with the theory. Use of this approach vastly simplifies the design and operation of the HOC, while improving its stability significantly. Finally, a real-time opto-electronic PMT pre-processor utilizing an FPGA is proposed and prototyped, allowing for the automatic conversion of images into their PMTs without additional processing delay.Comment: Conferenc

High-speed Opto-electronic Pre-processing of Polar Mellin Transform for Shift, Scale and Rotation Invariant Image Recognition at Record-Breaking Speeds

Space situational awareness demands efficient monitoring of terrestrial sites and celestial bodies, necessitating advanced target recognition systems. Current target recognition systems exhibit limited operational speed due to challenges in handling substantial image data. While machine learning has improved this scenario, highresolution images remain a concern. Optical correlators, relying on analog processes, provide a potential alternative but are hindered by material limitations. Recent advancements in hybrid opto-electronic correlators (HOC) have addressed such limitations, additionally achieving shift, scale, and rotation invariant (SSRI) target recognition through use of the polar Mellin transform (PMT). However, there are currently no techniques for obtaining the PMT at speeds fast enough to take advantage of the inherent speed of the HOC. To that end, we demonstrate an optoelectronic PMT pre-processor that can operate at record-breaking millisecond frame rates using commercially available components for use in an automated SSRI HOC image recognition system for space situational awareness.Comment: Conferenc