SBIR Phase I: Next Generation Speed Ferroelectric Liquid Crystal-VLSI Spatial Light Modulators

SBIR 第一阶段：下一代高速铁电液晶-VLSI 空间光调制器

• 批准号: 9661235
• 负责人: Michael O'Callaghan
• 金额: $ 7.41万
• 依托单位: Displaytech Incorporated
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-01-01 至 1997-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9661235&HistoricalAwards=false
• 关键词: SBIR; Phase; Next; Generation; Speed

*** ABSTRACT 96-61235 O'Callaghan This Small Business Innovation Research Phase I project aims to develop next generation analog and digital Ferroelectric Liquid Crystal (FLC)-VLSI spatial light modulators (SLMs) which surpass the speed of present generation SLMs by nearly an order of magnitude. In addition to their commercial use as miniature displays current generation FLC-VLSI SLMs are enabling long awaited, commercially viable, optical image processing systems whose computing speed outstrips purely electronic processors. When used as part of a computing subsystem the performance of present generation SLMs is enough to tax the data bandwidth capabilities of inexpensive general purpose digital computers. The intent of this Phase I effort is to greatly extend the performance of analogized digital FLC-VLSI SLMs to match or surpass the data throughput rates of current high performance digital systems. The plan is to achieve this goal by drawing on and extending combined advances in both VLSI design and FLC performance. The proposed high-speed SLMs can be used in biometric applications such as fingerprint and face recognition, high-speed image processing, volumetric 3-D displays, industrial machine vision, and improved sequential color miniature displays. ***

* 摘要 96-61235奥卡拉汉 该小型企业创新研究第一阶段项目旨在开发下一代模拟和数字铁电液晶（FLC）-超大规模集成电路空间光调制器（SLM），其速度超过当代SLM近一个数量级。除了它们作为微型显示器的商业用途之外，当前一代FLC-VLSI SLM正在实现期待已久的、商业上可行的光学图像处理系统，其计算速度超过纯电子处理器。当用作计算子系统的一部分时，当前一代SLM的性能足以对廉价的通用数字计算机的数据带宽能力征税。第一阶段工作的目的是大幅扩展模拟数字FLC-VLSISLM的性能，以匹配或超越当前高性能数字系统的数据吞吐率。该计划是通过借鉴和扩展VLSI设计和FLC性能的综合进步来实现这一目标。 所提出的高速SLM可用于生物识别应用，例如指纹和面部识别、高速图像处理、体积3-D显示、工业机器视觉和改进的顺序彩色微型显示器。***