{"title":"Optical modules for future signal processing systems","authors":"J.N. Lee","doi":"10.1109/HICSS.1989.47189","DOIUrl":null,"url":null,"abstract":"Analog optical modules must be part of a larger signal-processing system, and it is difficult to pass information from an optical module operating near maximum throughput to the other parts of a signal-processing system. The basis for this difficulty is often thought to be the high bandwidth and large number of channels of the optical module, but more quantitatively, optical modules do not yet have the capability to perform nonlinear operations on partially processed data that would greatly reduce the module output rates. Moreover, they require additional processing for equalization of channel response rather than for representation of useful information, and this processing is often left to the digital postprocessor. Recent work carried out to address the interface difficulty is reported. One avenue is the use of additional optical processing operations at the output of existing optical-processing modules, such as data compression adaptive data thresholding, and various multiplexed readout schemes. Another avenue is to reduce precision requirements by using various adaptive learning techniques inherent in some parallel models of computation, such as neural-net models. A third effort involves development of 2-D, three-terminal, spatial light modulator devices that can provide the needed nonlinear transfer functions, the capability to cascade optical-processing operations, and throughputs greater than those attainable with all-electronic approaches.<<ETX>>","PeriodicalId":300182,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume 1: Architecture Track","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume 1: Architecture Track","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HICSS.1989.47189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Analog optical modules must be part of a larger signal-processing system, and it is difficult to pass information from an optical module operating near maximum throughput to the other parts of a signal-processing system. The basis for this difficulty is often thought to be the high bandwidth and large number of channels of the optical module, but more quantitatively, optical modules do not yet have the capability to perform nonlinear operations on partially processed data that would greatly reduce the module output rates. Moreover, they require additional processing for equalization of channel response rather than for representation of useful information, and this processing is often left to the digital postprocessor. Recent work carried out to address the interface difficulty is reported. One avenue is the use of additional optical processing operations at the output of existing optical-processing modules, such as data compression adaptive data thresholding, and various multiplexed readout schemes. Another avenue is to reduce precision requirements by using various adaptive learning techniques inherent in some parallel models of computation, such as neural-net models. A third effort involves development of 2-D, three-terminal, spatial light modulator devices that can provide the needed nonlinear transfer functions, the capability to cascade optical-processing operations, and throughputs greater than those attainable with all-electronic approaches.<>
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用于未来信号处理系统的光模块
模拟光模块必须是更大的信号处理系统的一部分,并且很难将信息从接近最大吞吐量的光模块传递到信号处理系统的其他部分。这种困难的基础通常被认为是光模块的高带宽和大量通道,但更定量地说,光模块还不具备对部分处理的数据执行非线性操作的能力,这将大大降低模块的输出速率。此外,它们需要额外的处理来均衡信道响应,而不是表示有用的信息,这种处理通常留给数字后处理器。报告了最近为解决界面困难而进行的工作。一种方法是在现有光处理模块的输出端使用额外的光处理操作,如数据压缩、自适应数据阈值和各种多路读出方案。另一个途径是通过使用一些并行计算模型(如神经网络模型)中固有的各种自适应学习技术来降低精度要求。第三项努力涉及到二维,三端,空间光调制器设备的发展,它可以提供所需的非线性传递函数,级联光学处理操作的能力,以及比全电子方法所能达到的更大的吞吐量。
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