US-France Collaborative Research: Statistical Signal Processing, Vision Discrete Event Systems and System Theory

美法合作研究：统计信号处理、视觉离散事件系统和系统理论

• 批准号: 9002393
• 负责人: Alan Willsky
• 金额: $ 3.02万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-06-15 至 1993-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9002393&HistoricalAwards=false
• 关键词: US; France; Collaborative; Research; Statistical

This award will support collaborative research in electrical engineering and computer science between two US and French groups. The US researchers are: Drs. Allan Willsky and Sanjoy Mitter, Massachusetts Institute of Technology, and Dr. Bernard Levy, University of California at Davis. The French researchers are: Drs. A. Benveniste, R. Nikoukhah and M. Basseville, French National Institute for Computer Science and Automation (INRIA). The research will focus on five topics: 1) multi-resolution statistical signal and image processing, including the development of novel multi-scale stochastic models for efficient and highly parallel algorithms 2) discrete event systems, including the blending of concepts from computer science and control in order to develop an effective methodology for the monitoring and control of complex systems 3) noncausal system models and efficient parallel algorithms for optimal estimation 4) distributed parameter systems, including a complete treatment of infinite dimensional systems and 5) system and estimation-theoretic approaches to computer vision. The project will benefit from the history of previous and successful collaboration between these two groups and the extensive and complementary expertise of the US and French investigators.

该奖项将支持电子领域的合作研究 工程和计算机科学之间的两个美国和法国 组 美国研究人员是：艾伦·威尔斯基博士和 马萨诸塞州理工学院的Sanjoy Mitter和Dr. Bernard Levy，加州大学戴维斯分校。 法国 研究人员是：Drs. A。本弗尼斯特河Nikoukhah和M. Basseville，法国国家计算机科学研究所 自动化（INRIA） 本研究将围绕五个方面展开：1）多分辨率 统计信号和图像处理，包括 发展新的多尺度随机模型， 2）离散事件 系统，包括计算机概念的融合 科学和控制，以制定有效的 监测和控制复杂系统的方法 3)非因果系统模型和高效并行算法 对于最优估计4）分布参数系统， 包括对无限维度的完整处理 系统和5）系统和估计理论方法， 计算机视觉该项目将受益于历史， 这两个人以前的成功合作 小组的广泛和互补的专门知识， 美国和法国的调查人员。