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【学术报告】乔治梅森大学田智教授关于通信中的稀疏信号处理报告会
2018-07-10 08:34 韩晶  航海学院 审核人:   (点击: )

报告主题:通信中的稀疏信号处理Sparse Signal Processing for Communications

报告人:田智教授IEEE Fellow

报告时间:2018年7月13日上午10:00

报告地点:学院201会议室

邀请人:韩晶副教授

主办单位:海洋信息感知学科创新引智基地

报告摘要:

Sparse signal processing has demonstrated its usefulness in wireless communications over recent years. In the emerging era of data deluge, wireless systems such as 5G and Internet of Things (IoT) have to be able to sense and process an unprecedentedly large amount of data in real time, which render traditional communication and signal processing techniques inefficient or inapplicable. Meanwhile, there are exciting new developments on the theory and algorithms of sparse signal processing and compressive sensing, which offer powerful tools to effectively deal with high-dimensional signals, large-size problems, and big-volume data. This talk presents recent development on sparse signal processing principles and techniques as applied to various wireless applications where signal and information acquisition costs are high, such as wideband spectrum sensing in cognitive radios and sparse channel estimation using large-antenna arrays in both millimeter-wave communication systems and IoT applications.

报告人简介:

Dr. Zhi Tian has been a Professor in the Electrical and Computer Engineering Department of George Mason University since 2015. Previously she was on the faculty of Michigan Technological University. Her research interests lie in statistical signal processing, wireless communications, anddecentralized network optimization. She is an IEEE Fellow. She isChair of the IEEE Signal Processing Society Big Data Special Interest Group. She was General Co-Chair of the IEEE GlobalSIP Conference in 2016. She served as an IEEE Distinguished Lecturer, andAssociate Editor for theIEEE Transactions on Wireless CommunicationsandIEEE Transactions on Signal Processing.

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