美国阿肯色大学Jingxian Wu教授学术报告

来源:信息科学与技术学院  作者:范平志  日期:2019-06-09  点击数:424

西南交通大学创源大讲堂

Innovative Source Lecture Hall, Southwest Jiaotong University

无线通信与信息编码前沿系列讲座

Lecture Series: Frontiers in Wireless Communications & Information Coding

 

报告题目(Title):  Distributed Signal Processing over Decentralized Networks

报告专家(Speaker): Professor Jingxian Wu, University of Arkansas, USA 

报告时间(Time)12 June 2019, 2:30-3:30pm (Wednesday)

报告地点(Venue)Room X9231, Xipu Campus, SWJTU (犀浦校区9号楼X9231#)

主持人(Chair):  Professor FAN, Pingzhi范平志)

 

内容提要Outline of the Talk:

Distributed Signal Processing over Decentralized Networks

 

Distributed signal processing and computing has a wide range of applications in wireless sensor networks, distributed file sharing, online social networks, etc. In this talk, we discuss the distributed estimation of a spatially correlated random field with decentralized sensor networks. Nodes in the network take spatial samples of the random field, then each node estimates the values of arbitrary points on the random field by iteratively exchanging information with each other. The objective is to minimize the estimation mean squared error (MSE) while ensuring all nodes reach a distributed consensus on the estimation results. We propose a distributed iterative linear minimum mean squared error (LMMSE) algorithm that contains a state consensus stage and a local estimation stage in each iteration. It is shown that the optimum performance can be achieved by distributively mapping the high dimension measurement samples from all nodes into a low dimension subspace related to the covariance matrices of data and noise samples. The low-dimension mapping is achieved in a distributed manner through iterative information propagation. The low dimension mapping can significantly reduce the amount of data exchanged in the network, thus improve the convergence speed of the iterative algorithm.

 

报告人简介(Short Biography of the Speaker):

Jingxian Wu received the B.S. (EE) degree from the Beijing University of Aeronautics and Astronautics, Beijing, China, in 1998, the M.S. (EE) degree from Tsinghua University, Beijing, China, in 2001, and the Ph.D. (EE) degree from the University of Missouri at Columbia, Missouri, USA, in 2005. He is currently a Professor with the Department of Electrical Engineering, University of Arkansas, Fayetteville. His research interests mainly focus on statistical signal processing, large scale data analytics, biomedical signal processing, and wireless communications. He is appointed as a distinguished lecture by the IEEE Vehicular Technology Society for 2018 and 2019. He served as symposium or track co-chairs for a number of international conferences, such as the 2012 and 2019 IEEE International Conference on Communications, the 2009, 2015, and 2017 IEEE Global Telecommunications Conference, the 2017 International Conference on Communications in China, and the 2017 Wireless Communication and Signal Processing Conference, etc. He served as an Associate Editor of the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY from 2007 to 2011 an Editor of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS from 2011 to 2016, and is now serving as an Associate Editor of the IEEE ACCESS.