由电光库计算机实现的非光谱感测
Non-spectroscopic sensing enabled by electro-optical reservoir computer
摘要：
提出了一种用于执行非光谱感测以区分并确定化学混合物的成分浓度的完全生物启发的装置。在这里，完全受生物启发意味着它由仿生传感器和神经形态信号处理器组成。该传感器在其三色结构和重叠光谱响应方面与人眼相似。信息处理器是一个神经形态系统的基础上，一个水库计算机的电光实现。基于Z-双线性变换的时间步进信号算法已经被开发来真实地模拟电光油藏计算机;这演示了辨别和化学浓度确定任务。我们相信这样的设备在需要实时监测化学成分的领域中提供了潜在的益处，例如在化学加工、食品饮料（发酵/酿造）和环境监测中。
英文摘要：
A fully bio-inspired apparatus to perform non-spectroscopic sensing to discriminate, and determine the constituent concentrations of a chemical mixture is proposed. Here, fully bio-inspired means that it is comprised of a biomimetic sensor and a neuromorphic signal processor. The sensor is similar to the human eye in terms of its trichromat architecture and overlapping spectral response. The information processor is a neuromorphic system based on an electro-optical implementation of a reservoir computer. A time-stepping signal algorithm based on the Z-bilinear transformation has been developed to realistically simulate the electro-optical reservoir computer; this demonstrates the discrimination and chemical concentration determination tasks. We believe such an apparatus offers potential benefits in areas in which chemical composition needs to be monitored in real time, for example in chemical processing, and food-beverage (fermentation/brewing) and environmental monitoring.
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