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.

该奖项将支持美国和法国两个团体之间在电气工程和计算机科学方面的合作研究。 美国研究人员是： Drs.麻省理工学院的艾伦·威尔斯基 (Allan Willsky) 和桑乔伊·米特 (Sanjoy Mitter) 以及加州大学戴维斯分校的伯纳德·利维 (Bernard Levy) 博士。 法国研究人员是： Drs. A. Benveniste、R. Nikoukhah 和 M. Basseville，法国国家计算机科学与自动化研究所 (INRIA)。 该研究将重点关注五个主题：1）多分辨率统计信号和图像处理，包括开发用于高效和高度并行算法的新型多尺度随机模型2）离散事件系统，包括计算机科学和计算机科学概念的融合控制，以开发一种有效的方法来监视和控制复杂系统 3）非因果系统模型和用于最佳估计的有效并行算法 4）分布式参数系统，包括无限维系统的完整处理和 5）系统和估计理论计算机的方法 想象。该项目将受益于这两个小组之前成功合作的历史以及美国和法国研究人员广泛且互补的专业知识。