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Real-time implementation of the spiral algorithm for Shack-Hartmann wavefront sensor pattern sorting on an FPGA

机译:Shack-Hartmann波前传感器模式排序的螺旋算法在FPGA上的实时实现

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摘要

A real-time implementation of the spiral algorithm is proposed for sorting the spot patterns of a Shack-Hartmann Wavefront Sensor with an FPGA. The standard spiral algorithm is adapted to the end of rendering the algorithm real-time capable, deterministic, and efficient such that it finally be highly suited for implementation on an FPGA. Preserving the primary characteristics of the original spiral algorithm, i.e. high-range and accuracy, the modified algorithm additionally shows low-latency and high-throughput concerning the ordering and calculation of the centroids. Simulation and experimental results underscore that the algorithm yields excellent performance in view of run-time and robustness requirements while remaining relatively simple in its implementation. (C) 2016 Elsevier Ltd. All rights reserved.
机译:提出了一种螺旋算法的实时实现方法,用于利用FPGA对Shack-Hartmann波前传感器的光斑进行排序。标准螺旋算法适用于以实时,确定性和高效的方式呈现算法的最后阶段,因此最终非常适合在FPGA上实现。保留了原始螺旋算法的主要特征(即高范围和准确性),改进后的算法还显示了有关质心排序和计算的低延迟和高吞吐量。仿真和实验结果表明,该算法在运行时和鲁棒性方面都具有出色的性能,同时实现起来也相对简单。 (C)2016 Elsevier Ltd.保留所有权利。

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