2007 IEEE Workshop on Statistical Signal Processing

2007 年 IEEE 统计信号处理研讨会

• 批准号: 0730272
• 负责人: Robert Nowak
• 金额: --
• 依托单位: Institute of Electrical & Electronics Engineers, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0730272&HistoricalAwards=false
• 关键词: 2007; IEEE; Workshop; Statistical; Signal

The 2007 IEEE Workshop on Statistical Signal Processing is tentatively planned for August 26-29, 2007, at the beautiful Monona Terrace Convention Center in Madison, Wisconsin. The purpose of this workshop is to bring together researchers and scientists from the IEEE Signal Processing Society and related fields, for a two-and-one-half-day workshop focused on statistical methods in signal and image processing. The workshop will feature regular contributed paper sessions, special invited paper sessions, and a small number of plenary lectures covering basic theory, methods and algorithms, and applications in statistical signal processing. Areas of interest include array processing, telecommunications, distributed signal processing and networks, biosignal processing and bioinformatics, Monte Carlo methods, statistical image analysis, and machine learning.One of the themes to be highlighted in the 2007 IEEE SSP Workshop is the theory and applications of the compressed sensing, and the role that compressed sensing can play in signal analysis and processing. Compressed Sensing was first proposed in 2004 by Professor Emmanuel Candes of Caltech. Candes, who received the National Science Board's prestigious Alan T. Waterman Award for his work, will present a one hour plenary lecture on this subject at the workshop. The workshop will provide an ideal forum for researchers to exchange ideas and relate research progress in this and other emerging areas of vital importance.

2007年IEEE统计信号处理研讨会暂定于2007年8月26-29日在威斯康辛州麦迪逊市美丽的Monona Terrace会议中心举行。本次研讨会的目的是将来自IEEE信号处理协会和相关领域的研究人员和科学家聚集在一起，为期两天半的研讨会专注于信号和图像处理中的统计方法。研讨会将包括定期的论文会议、特别邀请的论文会议和少量的全体讲座，内容涉及统计信号处理的基本理论、方法和算法以及应用。感兴趣的领域包括阵列处理、电信、分布式信号处理和网络、生物信号处理和生物信息学、蒙特卡罗方法、统计图像分析和机器学习。2007年IEEE SSP研讨会的主题之一是压缩感知的理论和应用，以及压缩感知在信号分析和处理中的作用。压缩传感是由加州理工学院的Emmanuel Candes教授于2004年首次提出的。坎迪斯因其工作获得了美国国家科学委员会颁发的著名的艾伦·t·沃特曼奖，他将在研讨会上就这一主题发表一小时的全体演讲。该研讨会将为研究人员提供一个理想的论坛，以交流思想并将这一领域和其他重要新兴领域的研究进展联系起来。