Communications, Signal Processing, and Systems

Proceedings of the 2018 CSPS Volume I: Communications

Häftad, Engelska, 2020

Av Qilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang

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This book brings together papers from the 2018 International Conference on Communications, Signal Processing, and Systems, which was held in Dalian, China on July 14–16, 2018.

Produktinformation

Utgivningsdatum2020-08-19
Mått155 x 235 x 61 mm
Vikt1 691 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Electrical Engineering
Antal sidor1 125
FörlagSpringer Verlag, Singapore
ISBN9789811362668

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Dr. Qilian Liang is a Professor at the Department of Electrical Engineering, University of Texas at Arlington (UTA), USA, where he has been working since August 2002. Prior to this, he was a member of the technical staff at Hughes Network Systems Inc. in San Diego, California. Dr. Liang received his B.S. degree from Wuhan University, China, in 1993; his M.S. degree from Beijing University of Posts and Telecommunications, China in 1996; and a Ph.D. degree from the University of Southern California (USC), Los Angeles, USA in May 2000, all in Electrical Engineering. His research interests include communications, signal processing and fuzzy logic systems. Dr. Liang has published more than 270 journal and conference papers, 6 book chapters, and has 6 U.S. patents pending. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award; 2003 U.S. Office of Naval Research (ONR) Young Investigator Award; 2005 UTA College of Engineering Outstanding Young Faculty Award; 2007,2009, 2010 U.S. Air Force Summer Faculty Fellowship Program Award; 2012 UTA College of Engineering Excellence in Research Award; 2013 UTA Outstanding Research Achievement or Creative Activity Award; and was inducted into UTA Academy of Distinguished Scholars in 2015.

Wireless communications.- Wireless networks.- Internet of Things.- Wireless sensor networks.- Signal processing for communications and networking.- Audio and acoustic signal processing.- Bio imaging and signal processing.- Machine learning for signal processing.- Sensor array and multichannel signal processing.- Design and implementation of signal processing systems.- Circuits and Systems for Communications.- Deep Learning.- Fuzzy Logic Systems.- Nonlinear Systems for Communications and Signal Processing.