Overview
- Introduces the principles and applications of relaxation estimation methods for the first time
- Provides a unified solution based on simple FFT calculations for classical high-resolution parameter estimation problems, such as line spectrum estimation, time delay estimation, and DOA estimation
- Romantically visualizes the basic principles of parameter estimation by using the metaphors of lovers
- Covers a wide range of applications, addresses many different audiences, and provides a large number of practical examples
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
Authors and Affiliations
About the authors
Renbiao Wu is the Tianjin Professor and the Director of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. He received his B.Sc. and M.Sc. in Electrical Engineering from the Northwest Polytechnic University in 1988 and 1991 respectively, and his Ph.D. in Electrical Engineering from Xidian University in 1994. He has worked at the Imperial College of London, the University of Florida, and Virginia Tech as a Distinguished Research Scholar, Visiting Professor, and Postdoctoral Fellow for 5 years. His research interests include adaptive array signal processing and spectral estimation, especially in regards to their applications in GNSS and radar. He has published over 300 peer-reviewed papers, and ten plus books and book chapters. He is the recipient of the Chinese National Outstanding Young Investigator Award in 2003.
Qiongqiong Jia is a lecturer of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. She received her B.Sc. and M.Sc. from the Civil Aviation University of China in 2008 and 2011, and her specialized master degree in navigation engineering from ENAC in France in 2015. Her research interests include adaptive array signal processing and spectral estimation regarding their applications to GNSS. She has published 20 papers, and co-authored three books and book chapters.
Lei Yang is currently an associate professor of Tianjin Key Lab for Advanced Signal Processing at Civil Aviation University of China. He received his B. Sc. and Ph. D. degrees all from Xidian University, Xi'an, China in Electronic Engineering and Signal and Information Processing, respectively. He has worked at School of Eletrical and Electronic Engineering of Nanyang Technology University (NTU), Singapore and Temasek Lab@NTU, Singapore, as a full-time (postdoctoral) research fellow and research scientist, respectively, for 4 years. His research interests include radar imaging for stationaryscene and moving targets. He has published over 40 academic papers that are all indexed by SCI and EI database. He is now with the Recruitment Programme of Global Experts (the Thousand Young Talents Plan) of Tianjin, China.
Qing Feng is a lecturer of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. She received her M.Sc. from the Civil Aviation University of China in 2005. Her research interests include adaptive array signal processing and spectral estimation, especially in regards to their applications in radar. She has published 8 papers, and co-authored two books.
Bibliographic Information
Book Title: Principles and Applications of RELAX: A Robust and Universal Estimator
Authors: Renbiao Wu, Qiongqiong Jia, Lei Yang, Qing Feng
DOI: https://doi.org/10.1007/978-981-13-6932-2
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Science Press, Beijing and Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-6931-5Published: 09 April 2019
eBook ISBN: 978-981-13-6932-2Published: 27 March 2019
Edition Number: 1
Number of Pages: XVI, 302
Number of Illustrations: 84 b/w illustrations, 6 illustrations in colour
Additional Information: Jointly published with Science Press, Beijing, China, 2018
Topics: Signal, Image and Speech Processing, Control and Systems Theory, Microwaves, RF and Optical Engineering, Mathematical Modeling and Industrial Mathematics