1998 NSF/CBMS Regional Research Conference in Mathematical Sciences

1998年5月2-8日，在中佛罗里达大学数学系召开了NSF-CBMS关于小波分析作为计算和谐波分析工具的区域会议。耶鲁大学数学系教授Ronald Coifman将担任会议的首席讲师。组委会将由来自数学系、电气与计算机工程系、机械工程系和航空科学系、电光与激光研究中心、中佛罗里达大学模拟与培训研究所的数学家和科学家组成，以及来自学术和工业机构的外部专家。在过去的十年中，无论是在理论方面还是在将数学理论应用于计算机科学、电气工程、机械和化学工程、生物医学工程及其相关领域的问题方面，会议努力的一般领域都引起了人们的极大兴趣，并取得了爆炸性的发展。尽管在过去的十年中活动激烈，但仍然有许多悬而未决的问题，其中许多问题现在才进入现代计算技术的范围。Coifman是一位出色的讲师，也是该领域的主要贡献者，他对主题的看法非常广泛，从数学分析到数值和计算工作，甚至工程和工业方面。他目前正在领导一个研究项目，开发新的基于小波的数学工具，用于未来的提取识别和去噪。他的演讲将有助于调查和统一该领域的主要发展，评估成就和未解决的问题。科菲曼教授是领导这一领域专家聚会的不二人选。

An NSF-CBMS Regional Conference on Wavelet Analysis as a Tool for Computational and Harmonic Analysis will be held at the Department of Mathematics, University of Central Florida on May 2-8, 1998. Professor Ronald Coifman, Professor of Mathematics at Yale University, will serve as Principal Lecturer of the conference. The organizing committee will consist of mathematicians and scientists drawn from the Departments of Mathematics, Electrical and Computer Engineering, Mechanical Engineering and Aerospace sciences, the Center for research in Electro-Optics and Lasers, and the Institute for Simulation and Training at the University of Central Florida, as well as outside experts from academic and industrial institutions. The general area of the conference's endeavor is of great topical interest and has seen as explosive expansion of activity in the last ten years, both in theoretical aspects and in applications of the mathematical theory to problems in computer science, electrical engineering, mechanical and chemical engineering, biomedical engineering and their related areas. Despite the intense activity over the past decade, there are still numerous outstanding issues, many of which are only now coming within the ambit of modern computational techniques. Coifman, who is a consummate lecturer and a major contributor to the area, has a very broad view of the subject matter, from the mathematical analysis to the numerical and computational work and even the engineering and industrial aspects. He is currently leading a research program to develop new wavelet based mathematical tools for future extraction recognition and denoising. His lectures will serve to survey and unify major developments in the field, assessing both achievements and unsolved problems. Professor Coifman is an obvious choice to lead a gathering of experts in this area.