Rosenbluth David, Kravtsov Konstantin, Fok Mable P, Prucnal Paul R
Princeton University, Princeton, New Jersey 08544, USA.
Opt Express. 2009 Dec 7;17(25):22767-72. doi: 10.1364/OE.17.022767.
This paper presents an all optical fiber based implementation of a hybrid analog-digital computational primitive that provides a basis for complex processing on high bandwidth signals. A natural implementation of a hybrid analog/digital photonic processing primitive is achieved through the integration of new nonlinear fiber, and exploitation of the physics of semiconductor device to process signals in unique ways. Specifically, we describe the use of a semiconductor optical amplifier to implement leaky temporal integration of a signal and a highly Ge-doped nonlinear fiber for thresholding. A straightforward correspondence between our computational primitive and leaky-integrate-and-fire neurons permits leveraging of a large body of research characterizing the computational capabilities of these devices and the emerging pulse processing computational paradigm as a means to implement practical signal processing algorithms in hybrid computing platforms. An experimental demonstration of the behavior of the pulse processing primitive is presented.
本文提出了一种基于全光纤的混合模拟-数字计算原语实现方案，该方案为高带宽信号的复杂处理提供了基础。通过集成新型非线性光纤并利用半导体器件的物理特性以独特方式处理信号，实现了混合模拟/数字光子处理原语的自然实现。具体而言，我们描述了使用半导体光放大器实现信号的泄漏时间积分以及使用高掺锗非线性光纤进行阈值处理。我们的计算原语与泄漏积分发放神经元之间存在直接对应关系，这使得我们能够利用大量关于这些器件计算能力的研究以及新兴的脉冲处理计算范式，作为在混合计算平台中实现实际信号处理算法的一种手段。本文还给出了脉冲处理原语行为的实验演示。
