
Low-Rank Hankel Methods for Spectral Signal Processing
3 authors - Hardback
£139.99
Dr. Xu Zhang is an Assistant Professor of Artificial Intelligence at Xidian University and formerly a Postdoctoral Fellow at the Chinese Academy of Sciences. His research focuses on signal processing, optimization, and machine learning, with key contributions to blind super-resolution and spectral compressed sensing in leading venues.
Dr. Jinchi Chen is an Associate Professor of Mathematics at East China University of Science and Technology. His work lies at the interface of signal processing, numerical optimization, and data science, with extensive publications on blind super-resolution, spectrally sparse signal recovery, compressed sensing, and low-rank matrix and tensor methods.
Dr. Jinsheng Li is a Researcher at the Future Technology Research Center of China Telecom Research Institute. His research interests include non-convex optimization for signal processing, low-rank matrix recovery, and DOA estimation, with several IEEE Transactions on Signal Processing papers on fast algorithms for blind super-resolution and spectral compressed sensing.