CAREER: An Integrated Approach to the Study of Inverse Methods in Electrical Engineering

职业：电气工程逆向方法研究的综合方法

• 批准号: 9623721
• 负责人: Eric Miller
• 金额: $ 20.41万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-01 至 2000-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9623721&HistoricalAwards=false
• 关键词: CAREER; Integrated; Approach; Study; Inverse

The objective of this CAREER award is to develop a fully integrated career plan designed to meet the educational needs of students in the Electrical and Computer Engineering (ECE) Department of Northeastern University. The underlying theme behind all aspects of this work is the study of inverse problems, a topic which is all but absent at the undergraduate level and not often considered even in the graduate school despite the ubiquity of these problems in many fields of engineering and the applied sciences. In the area of educations activities, two projects are envisioned. At the undergraduate level, a capstone design course in the general area of signal processing is being developed and implemented. At the graduate level, a course devoted to the study of the theoretical and practical issues surrounding linear inverse problems is being developed. In the area of research, we are exploring the use of statistical and multiscale signal processing methods for solving non-linear electromagnetic inverse scattering problems. These algorithms will incorporate scattering models based upon a Green's function formulation of the vector Helholtz equation. A statistically-based, multi-grid-type algorithm for extracting image and target information (number of targets, locations, and classifications) is being developed. The incorporation of detailed, physical models directly into the data processing algorithms makes these techniques directly applicable to a wide range of problems including radar signal processing for image formation and target detection/classification, remote sensing, microwave medical imaging, and geophysical exploration.

该职业生涯奖的目的是制定一项完全融合的职业计划，旨在满足东北大学电气和计算机工程系（ECE）系的教育需求。 这项工作的各个方面背后的基本主题是对反问题的研究，这个话题在本科层面几乎没有，即使在研究生院也没有经常考虑这些问题，尽管这些问题在许多工程领域和应用科学领域都存在。 在教育活动领域，设想了两个项目。 在本科级别，正在开发和实施信号处理一般领域的顶峰设计课程。 在研究生层面上，正在开发一门专门研究有关线性反向问题的理论和实际问题的课程。 在研究领域，我们正在探索使用统计和多尺度信号处理方法来解决非线性电磁逆散射问题。 这些算法将基于绿色的Helholtz方程的绿色功能公式结合散射模型。 正在开发一种基于统计的多机类型算法，用于提取图像和目标信息（目标，位置和分类的数量）。 将详细的物理模型直接纳入数据处理算法使这些技术直接适用于广泛的问题，包括用于图像形成和目标检测/分类，遥感，微波医学成像和地球物理探索的雷达信号处理。