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Architectures for parallel DSP-based adaptive optics feedback control

机译:基于DSP的并行自适应光学反馈控制的架构

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We have developed a digital image processing system for real-time digital image processing feedback control of adaptive optics systems and simulation of optical image processing algorithms. The system uses multi-computer architecture to capture data from an imaging device such as a charge coupled device camera, process the image data, and control a spatial light-modulator, typically a liquid crystal modulator or a micro-electro mechanical system. The system is a Windows NT Pentium-based system combined with a commercial off-the-shelf peripheral component interconnect bus multi-processor system. The multi-processor is based on the Analog Devices super Harvard architecture computer (SHARC) processor, and field programmable gate arrays (FPGAs). The SHARCs provide a scalable reconfigurable C language-based digital signal processing (DSP) development environment. The FPGAs are typically used as reprogrammable interface controllers designed to integrate several off-the- shelf and custom imagers and light modulators into the system. The FPGAs can also be used in concert with the SHARCs for implementation of application-specific high-speed DSP algorithms.
机译:我们开发了一种用于实时数字图像处理反馈控制的数字图像处理系统,用于自适应光学系统和光学图像处理算法的模拟。该系统使用多计算机架构从诸如电荷耦合设备相机的成像装置中捕获数据,处理图像数据,并控制空间光调制器,通常是液晶调制器或微电机械系统。该系统是基于Windows NT Pentium的系统,与商业废弃货架外围组件互连总线多处理器系统相结合。多处理器基于模拟设备超级哈佛架构计算机(SHARC)处理器,以及现场可编程门阵列(FPGA)。 Sharc提供可扩展的基于可重新配置的C语言的数字信号处理(DSP)开发环境。 FPGA通常用作可重编程的接口控制器,旨在将若干特写和自定义成像器和光调制器集成到系统中。 FPGA也可以与SHARC一起使用,以实现特定于应用的高速DSP算法。

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