同济大学嵌入式系统与服务计算教育部重点实验室

[存为首页] [加入收藏]  

欢迎访问同济大学嵌入式系统与服务计算教育部重点实验室

 公元2017年11月18日[星期六]

总访问量:287609    

■首 页 ■实验室概况 ■科研平台 ■研究方向 ■科研队伍 ■科研项目 ■科研成果 ■开放课题 ■人才培养 ■文件下载
当前位置:主页-学术活动-“智信讲坛”(第五十八)期学术报告

“智信讲坛”(第五十八)期学术报告

浏览次数:251

【保护视力背景色: 杏仁黄 秋叶褐 胭脂红 芥末绿 天蓝 雪青 灰 银河白(默认色)】 【字色: 绿 粉红 深蓝】 【字体:8 7 6 5 4 3 2 1


  题目: 压缩频谱和层析图像感知 Compressive Spectral and Tomographic Image Sensing
  
  报告人: Gonzalo R. Arce,Charles Black Evans教授,电子与计算机工程,特拉华大学
  
  时间: 2016年3月25日星期五上午10:00am
  
  地点: 电信大楼403室
  
  邀请人: 赵生捷 教授
  
  报告人简介:
  Dr. Gonzalo R. Arce is the Charles Black Evans Professor in the Electrical and Computer Engineering Department at the University of Delaware. He holds the JPMorgan Chase Faculty Scholar Professorship in the Institute of Financial Services Analytics. His fields of interest lie in computational imaging, nonlinear signal processing, and the analysis and processing of high-dimensional data. He is the author of four textbooks in the areas of computational imaging and statistical signal processing. He received the 2010-2011 Nokia-Fulbright Distinguished Chair in Information and Communications Technologies. He is a Fellow of the IEEE and of the Center for Advanced Studies at the University of Delaware. His work has been supported by ARO, ONR, ARL, NSF, and several industrial organizations.
  
  内容提要:
  Coded aperture compressive imaging is described for two important imaging modalities: Spectral and Tomographic imaging. Both capture 3-Dimensional data cubes with just one or a few 2-Dimensional detector array measurements. The rich theory of compressive sensing is then used to effectively reconstruct the 3D information of interest from the set of underdetermined measurements. Notably, the coded apertures used in the measurements play a key role in such imaging systems. This talk describes the underlying imaging architectures and the intimate link between the coded apertures used in the imaging systems and the fundamental principles used in compressive sensing.
  
  欢迎各位老师同学踊跃参加!
 

发布日期:2016-03-14

本篇已是该组第一篇   

本篇已是该组最后一篇