CBMS Conference: Sparse Approximation and Signal Recovery Algorithms

CBMS 会议：稀疏逼近和信号恢复算法

• 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

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2017年5月22日至26日在新墨西哥州立大学举行的有关稀疏近似和信号回收算法的CBMS会议的支持。主题在于应用数学，电气和计算机工程以及信息科学的界面。选择该主题是为了建立和加强东道机构与西南地区其他机构和技术行业之间的现有研究关系。一个主要目标是将一大批数学和应用研究人员带到稀疏近似技术和应用的最前沿。在有关数字通信和大型数据集分析的各种应用中，出现了稀疏近似问题。讲座系列将从稀疏近似和信号恢复问题的基本数学公式开始。它将继续讨论贪婪的算法和凸方法，例如基础追求，用于流和素描的sublinear算法以及傅立叶采样方法。讲座将结束概述特定应用，例如GPS同步，光谱传感和相关光谱。主要讲师安娜·C·吉尔伯特（Anna C. Gilbert）是密歇根大学的赫尔曼·戈德斯汀（Herman H. Goldstine）数学学院教授。她是众多著名奖项的获得者，其中包括Siam Ralph E. Kleinman奖，以弥补数学和应用程序的杰出贡献。可以在：https：//www.math.nmsu.edu/activities/cbms2017/cbms2017.html上找到更多详细信息，包括资助参与者的旅行和注册信息的计划。