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2017年7月18日 Professor Tian, Zhi学术报告2017-07-14

来源:杭州电子科技大学理学院 | 2017-07-14 | 发布:经管之家

报告题目: Decoupled Atomic Norm Minimization in Signal Processing

报告人:Professor Tian, Zhi

报告内容:

Compressive sensing is one of the recent important advances in signal processing and statistical learning, with impact to various applications including data sciences, communications, sensor networks, and medical imaging. An underlying assumption is that the signal of interest is sparse with a sparse support on a discrete grid of finite size, which may limit the resolution of sensing. Recent work on gridless compressed sensing resorts to atomic norm minimization (ANM) and semi-definite programming (SDP) to enable recovery of off-grid sinusoidal signal components from compressive measurements. Along this line, this talk presents a decoupled ANM (D-ANM) approach for high-dimensional signal analysis, such as two-dimensional direction-of-arrival (DOA) estimation. Compared with the state of the art, the D-ANM approach offers dramatic acceleration in computational efficiency, and retains the benefits of gridless compressive sensing in terms of super-resolution, small number of required measurements and robustness to signal correlation. Interestingly, the D-ANM approach can also be applied for harmonic phase retrieval when only amplitude measurements are available. This line of research is useful in a range of applications as popular as spectrum sensing for cognitive radio, massive MIMO for millimeter 5G communications, to list a few.

报告人简介:

Dr. Zhi Tian is a Professor in the Electrical and Computer Engineering Department of George Mason University, Fairfax, VA. She joined Mason in January 2015 and is actively recruiting high-quality graduate students. Prior to that, she was on the faculty of Michigan Technological University from 2000 to 2014.She served as a Program Director at the US National Science Foundation from 2012 to 2014. Her research interests lie in statistical signal processing, wireless communications and wireless sensor networks.She is an IEEE Fellow. She serves as an IEEE Distinguished Lecturer for both the IEEE Communications Society and the IEEE Vehicular Technology Society. She served as Associate Editor for IEEE Transactions on Wireless Communications and IEEE Transactions on Signal Processing. She served on many posts at the IEEE, such as General Chair for the 2016 IEEE GlobalSIP Conference, and Vice Chair for the IEEE Signal Processing Society Big Data Special Interest Group.

报告时间: 2017年7月18日16:00-17:00

报告地点:理学院学术报告厅(六教南528)

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