Authors:
- Nominated as an outstanding Ph.D. thesis by Tsinghua University
- Reports on important advances in the area of sparse signal processing and compressed sensing
- Provides novel and applicable frameworks and algorithms for interference and noise recovery and elimination
- Includes extensive experimental simulation results and performance analysis validating the techniques
- Presents key technologies adopted by two important communications standards
Part of the book series: Springer Theses (Springer Theses)
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About this book
This book not only presents thorough theoretical models and algorithm design guidelines, but also provides adequate simulation and experimental engineering methods and results. The book is a valuable reference for those engaged in theoretical study, algorithm design and engineering practice in related fields, such as wireless communications, smart lighting, IoT and smart grid communications.
Authors and Affiliations
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Department Information and Communication Engineering, School of Informatics, Xiamen University, Xiamen, China
Sicong Liu
About the author
Sicong Liu received his B.S.E. in electronic engineering from Tsinghua University, Beijing, China in 2012, and the PhD degree, supervised by Prof. Jian Song, in electronic engineering in Tsinghua University in 2017 with the highest honor. From 2010 to 2011, he was a visiting scholar in Dept. Electronic and Communications Engineering, City University of Hong Kong. He served as a senior research engineer in Research Dept. Network Technologies, Huawei Technologies Co. Ltd, from 2017 to 2018. Currently, he is an assistant professor in School of Informatics, Xiamen University, Xiamen, China.
Sicong Liu has published over 40 journal and conference research papers. He owns 8 Chinese invention patents. He is one of the core members that draft the Broadband Power Line Communications Standard in China. He has won the Second Prize in the Natural Science Award of Chinese Institute of Electronics, the National Graduate Fellowship Award twice in 2014 and 2016, the Outstanding Doctoral Dissertation Award of Tsinghua University, the Outstanding PhD Graduate Award of Tsinghua University, and the Outstanding Graduate Award of Beijing City. He is a reviewer of IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Broadcasting, IEEE Transactions on Vehicular Technology and IEEE Transactions on Wireless Communications. He is on the Editorial Board of the Future Internet Journal Special Issue on Massive MIMO Communication and Networking Systems. He served as a Technical Program Committee Member of the served as the publication chair in IEEE SmartGridComm 2019, and Technical Program Committee member in IEEE ICC and IEEE Globecom. He is a member of IEEE.
His research interests mainly include sparse signal processing, interference suppression, wireless communications, physical-layer security, machine learning, and emerging 5G technologies.
Bibliographic Information
Book Title: Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation
Authors: Sicong Liu
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-981-15-4724-9
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Tsinghua University Press 2021
Hardcover ISBN: 978-981-15-4723-2Published: 11 September 2020
Softcover ISBN: 978-981-15-4726-3Published: 12 September 2021
eBook ISBN: 978-981-15-4724-9Published: 10 September 2020
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XIII, 208
Number of Illustrations: 3 b/w illustrations, 58 illustrations in colour
Topics: Communications Engineering, Networks, Signal, Image and Speech Processing, Information and Communication, Circuits