CBMS Conference: Sparse Approximation and Signal Recovery Algorithms

CBMS 会议：稀疏逼近和信号恢复算法

基本信息

批准号：
1642586
负责人：
Joseph Lakey
金额：
$ 3.84万
依托单位：
New Mexico State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-01-01 至 2017-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1642586&HistoricalAwards=false
关键词：
CBMS Conference Sparse Approximation Signal

项目摘要

This grant provides support for the CBMS Conference on Sparse Approximation and Signal Recovery Algorithms, which will take place at New Mexico State University, Las Cruces on May 22-26, 2017. Professor Anna C. Gilbert of the University of Michigan will provide a lecture series on Sparse Approximation and Signal Recovery Algorithms. The subject matter lies at the interface of applied mathematics, electrical and computer engineering, and information science. The subject is chosen to build and strengthen existing research ties between the host institution and other institutions and technical industries in the Southwest region. A primary goal is to bring a large group of researchers in mathematics and applications to the cutting edge of sparse approximation techniques and applications. Sparse approximation problems arise in a variety of applications concerning digital communications and analysis of large datasets. The lecture series will begin with basic mathematical formulations of sparse approximation and signal recovery problems. It will proceed with a discussion of greedy algorithms and convex methods, such as basis pursuit, sublinear algorithms for streaming and sketching, and Fourier sampling methods. The lectures will conclude outlining specific applications such as GPS synchronization, spectrum sensing, and correlation spectroscopy. The principal lecturer Anna C. Gilbert is the Herman H. Goldstine Collegiate Professor of Mathematics at the University of Michigan. She is the recipient of numerous prestigious awards, including the SIAM Ralph E. Kleinman Prize for outstanding contributions that bridge mathematics and applications. Further details, including plans to fund participant travel and registration information, can be found at: https://www.math.nmsu.edu/activities/cbms2017/cbms2017.html

该赠款为 CBMS 稀疏逼近和信号恢复算法会议提供支持，该会议将于 2017 年 5 月 22 日至 26 日在拉斯克鲁塞斯新墨西哥州立大学举行。密歇根大学的 Anna C. Gilbert 教授将提供演讲稀疏逼近和信号恢复算法系列。主题在于应用数学、电气和计算机工程以及信息科学的交叉点。选择该主题是为了建立和加强主办机构与西南地区其他机构和技术行业之间的现有研究联系。主要目标是将大量数学和应用研究人员带到稀疏逼近技术和应用的前沿。稀疏逼近问题出现在涉及数字通信和大型数据集分析的各种应用中。该系列讲座将从稀疏逼近和信号恢复问题的基本数学公式开始。它将继续讨论贪婪算法和凸方法，例如基追踪、流和草图的次线性算法以及傅里叶采样方法。讲座最后将概述 GPS 同步、频谱传感和相关光谱等具体应用。首席讲师 Anna C. Gilbert 是密歇根大学 Herman H. Goldstine 学院数学教授。她获得了众多享有盛誉的奖项，包括因在数学和应用之间的杰出贡献而获得的暹罗拉尔夫·克莱曼奖。更多详细信息，包括资助参与者旅行的计划和注册信息，请访问：https://www.math.nmsu.edu/activities/cbms2017/cbms2017.html