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电子信息名家讲坛 | Yonina Eldar:物理与算法:信息技术进步的双引擎

发布时间:2021-09-28 点击数: Views

“电子信息名家讲坛” 是电子工程系主办的系列活动,旨在建立世界一流的电子信息领域学术交流平台,拓展广大师生的学术视野。

本期讲坛有幸邀请以色列魏茨曼科学研究所数学和计算机科学系教授Yonina Eldar做题为《Physics and Algorithms Coupled to Enhance Technology》的线上报告。

讲座时间

10月6日18:30-19:30(北京时间)


演讲题目

物理与算法:信息技术进步的双引擎

Physics and Algorithms Coupled to Enhance Technology


演讲内容简介

数字化革新从方方面面影响着我们的生活,它基于从周围环境感知的物理信息通过数字化的比特流进行传输和处理。然而,在这一过程中难免存在信息的丢失。一方面,物理环境的干扰会引入噪声,另一方面,数字传输与处理中的量化会导致信息失真。因此,人们不可能在时间、空间和频率上都得到无穷精度的信号。在本讲座中,我们将讨论如何融合物理感知环境、采样压缩算法设计以减少上述信息损失。我们将从端到端的角度认识信息感知和处理这一过程,利用物理原理去设计新的编码算法以传输更多的数据。在这一过程中,我们将提供有效的信息压缩和编解码算法,将为数字化系统中使用更高的速率和分辨率创造可能。同时还将展示如何利用这些方法解决超声和光学成像、雷达系统、无线通信等一系列问题,以及我们在这些领域的原型系统,如超分辨率超声成像系统、次奈奎斯特采样雷达等。


We live in a digital world where data processing and storage is performed using computers. The digital revolution affects all aspects of our life from communications through radar, and medical imaging systems. This revolution is based on sensing the physical signals around us, and representing the acquired signals by digital bits that can be processed by a computer. However, clearly information is lost in this process: digitization rates are limited by the mathematical bounds of Nyquist and Shannon, and acquisition devices are limited by physical bounds such as the diffraction limit. Therefore, we cannot obtain infinite precision in time, space and frequency. In this talk we consider how the interplay between science, physics and algorithms can pave the way to enhanced technology that is not limited by the bounds above. We suggest treating sensing and processing in an end-to-end fashion, and exploiting physical principles to allow interesting new ways to transmit data in a coded fashion, which cannot be viewed, processed or heard directly. Instead the information is embedded indirectly in ways that are more efficient on the one hand, but can be properly decoded by appropriate mathematical algorithms on the other. This coupling of physics and algorithms paves the way to devices that can transmit, sample and process at rates and resolutions exceeding known bounds. We will illustrate applications of these ideas to a variety of problems in ultrasound and optical imaging, radar systems, communication channels and more, and show several demos of real-time prototypes overcoming standard bounds including a wireless ultrasound probe, super resolution ultrasound, and sub-Nyquist automotive radar.


主讲人介绍

Yonina Eldar教授于2002年在美国麻省理工学院电子与计算机学院获得博士学位,目前是以色列魏茨曼科学研究所数学和计算机科学系教授。她是以色列科学与人文学院院士,IEEE Fellow。她获得了包括IEEE信号处理协会成就奖、Kiyo Tomiyasu奖、Rothschild基金会Michael Bruno纪念奖在内的多项奖励。她本人被选为以色列最有影响力的50位女性,同时担任以色列高等教育委员会的一员。


Yonina Eldar is a Professor in the Department of Mathematics and Computer Science, Weizmann Institute of Science, Rehovot, Israel where she heads the center for Biomedical Engineering and Signal Processing and holds the Dorothy and Patrick Gorman Professorial Chair. She is also a Visiting Professor at MIT, a Visiting Scientist at the Broad Institute, and an Adjunct Professor at Duke University and was a Visiting Professor at Stanford. She is a member of the Israel Academy of Sciences and Humanities, an IEEE Fellow and a EURASIP Fellow.

She received the B.Sc. degree in physics and the B.Sc. degree in electrical engineering from Tel-Aviv University, and the Ph.D. degree in electrical engineering and computer science from MIT, in 2002. She has received many awards for excellence in research and teaching, including the IEEE Signal Processing Society Technical Achievement Award (2013), the IEEE/AESS Fred Nathanson Memorial Radar Award (2014) and the IEEE Kiyo Tomiyasu Award (2016). She was a Horev Fellow of the Leaders in Science and Technology program at the Technion and an Alon Fellow. She received the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, the Wolf Foundation Krill Prize for Excellence in Scientific Research, the Henry Taub Prize for Excellence in Research (twice), the Hershel Rich Innovation Award (three times), and the Award for Women with Distinguished Contributions. She received several best paper awards and best demo awards together with her research students and colleagues, was selected as one of the 50 most influential women in Israel, and was a member of the Israel Committee for Higher Education. She is the Editor in Chief of Foundations and Trends in Signal Processing, a member of several IEEE Technical Committees and Award Committees, and heads the Committee for Promoting Gender Fairness in Higher Education Institutions in Israel.


主持人介绍

王劲涛,清华大学电子工程系教授


讲座语言

英语。


参与方式

届时可扫描海报中的二维码进入Zoom会议,或点击“阅读原文”直接跳转加入Zoom会议。

会议号:907 251 6049

密码:202020



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