1998 NSF/CBMS Regional Research Conference in Mathematical Sciences

将于1998年5月2日至8日在中央佛罗里达大学数学系举行一次关于小波分析作为计算和谐波分析工具的NSF-CBMS区域会议。 耶鲁大学数学系教授罗纳德·科夫曼将担任会议的首席讲师。 组织委员会将由来自中佛罗里达大学数学系、电子和计算机工程系、机械工程系和航空航天科学系、电光和激光研究中心、模拟和培训研究所的数学家和科学家以及来自学术和工业机构的外部专家组成。 会议的奋进的一般领域是非常热门的兴趣，并已被视为爆炸性的扩展活动在过去十年中，无论是在理论方面，并在应用数学理论的问题，在计算机科学，电气工程，机械和化学工程，生物医学工程及其相关领域。 尽管在过去十年中的激烈活动，仍然有许多悬而未决的问题，其中许多是现在才进入现代计算技术的范围。 Coifman是一位完美的讲师，也是该领域的主要贡献者，他对该主题有着非常广泛的看法，从数学分析到数值和计算工作，甚至是工程和工业方面。 他目前正在领导一个研究项目，为未来的提取识别和去噪开发新的基于小波的数学工具。 他的讲座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。 科夫曼教授显然是领导这一领域专家聚会的人选。

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.