2007 IEEE Workshop on Statistical Signal Processing

2007年IEEE统计信号处理研讨会暂定于2007年8月26日至29日在威斯康星州麦迪逊美丽的莫诺纳露台会议中心举行。本次研讨会的目的是汇集来自IEEE信号处理协会和相关领域的研究人员和科学家，为期两天半的研讨会，重点讨论信号和图像处理中的统计方法。研讨会将定期提交论文会议，特邀论文会议，以及少量的全体讲座，涵盖基础理论，方法和算法，以及统计信号处理中的应用。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是2007年IEEE SSP研讨会的主题之一。压缩感知最早是由加州理工学院的Emmanuel Candes教授于2004年提出的。坎迪斯，谁收到了国家科学委员会的著名的艾伦T。沃特曼奖为他的工作，将提出一个小时的全体讲座就这一问题在研讨会上。研讨会将为研究人员提供一个理想的论坛，交流思想，并介绍这一领域和其他新兴领域的研究进展。

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.