U.S.-France Cooperative Research: Statistical Signal and Image Processing, Failure Detection, System Theory, and System Modeling

该项目为期三年，支持麻省理工学院、加州大学戴维斯分校、法国国家计算机科学与应用数学研究所（INRIA/ rocquourt and Rennes）的研究人员在图像和信号处理领域进行的美法合作研究。美国和法国的团队由麻省理工学院的Alan Willsky和INRIA的Albert Benveniste领导。他们的研究目标是探讨几何建模、非线性系统和图像处理中的各种问题。他们将研究(1)多分辨率统计信号和图像处理；(2)故障和事件检测；(3)非线性参数系统的新方法；(4)离散事件系统。美国和法国的调查人员在所有这些问题上都有相当多的专业知识。该项目特别利用了法国在非线性系统建模和离散事件系统问题的不同但互补的方法方面的实质性进展。法国人也被认为是用偏微分方程描述系统的世界专家。此次合作将促进对信号处理应用电路分析和设计的理解。＊＊＊

9313898 Willsky This three-year awards supports ongoing U.S.-France cooperative research in image and signal processing among investigators from the Massachusetts Institute of Technology, the University of California at Davis, and INRIA/Rocquencourt and Rennes (French National Institute for Research in Computer Science and Applied Mathematics). The U.S. and French teams are led by Alan Willsky, MIT, and Albert Benveniste, INRIA. The objective of their research is to investigate various problems in geometric modeling, nonlinear systems, and image processing. They will study (1) multiresolution statistical signal and image processing; (2) failure and event detection; (3) new approaches to nonlinear parameter systems; and (4) discrete event systems. The U.S. and French investigators have considerable expertise on all these topics. The project takes advantage in particular of substantial French advances in nonlinear systems modeling and different, but complementary, approaches to problems in discrete event systems. The French are also considered world experts in systems described by partial differential equations. The collaboration will advance understanding on analysis and design of circuits for signal processing applications. ***