Demonstration of WDM weighted addition for principal component analysis.
Demonstration of WDM weighted addition for principal component analysis.
复制标题
用于主成分分析的 WDM 加权加法演示。
DOI：
10.1364/oe.23.012758
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发表时间：
2015
期刊：
影响因子：
3.8
通讯作者：
P. Prucnal
中科院分区：
文献类型：
--
作者：
A. Tait;John Chang;B. Shastri;M. Nahmias;P. Prucnal
我们考虑一种使用波分复用（WDM）输入执行可调谐加权加法的光学技术，最近提出的光子尖峰处理架构的使能功能[J.Lightwave Technol.，32（2014）]。WDM加权加法在性能、可集成性和网络能力方面提供了重要的优势，这在过去的任何光学神经计算方法中都是不可能的。在这封信中，我们报告了一个WDM加权加法原型用于找到一个1Gbps，8通道信号的第一个主成分。宽带、多变量技术与现代无线电系统有着直接的相关性，而由WDM实现的光子尖峰处理网络可以开辟信息处理的新领域，为无线电通信、超快控制和科学计算中的问题带来前所未有的带宽和智能。
We consider an optical technique for performing tunable weighted addition using wavelength-division multiplexed (WDM) inputs, the enabling function of a recently proposed photonic spike processing architecture [J. Lightwave Technol., 32 (2014)]. WDM weighted addition provides important advantages to performance, integrability, and networking capability that were not possible in any past approaches to optical neurocomputing. In this letter, we report a WDM weighted addition prototype used to find the first principal component of a 1Gbps, 8-channel signal. Wideband, multivariate techniques have immediate relevance to modern radio systems, and photonic spike processing networks enabled by WDM could open new domains of information processing that bring unprecedented bandwidth and intelligence to problems in radio communications, ultrafast control, and scientific computing.