SS21.5
TENSOR TRAIN QUANTUM STATE TOMOGRAPHY USING COMPRESSED SENSING
Shakir Showkat Sofi, Charlotte Vermeylen, Lieven De Lathauwer, KU Leuven, Belgium
Session:
SS21: Multi-dimensional Signal Processing Techniques for Sensing Lecture
Track:
Special Sessions
Location:
Utveggio
Presentation Time:
Thu, 11 Sep, 16:50 - 17:10 Italy Time (UTC +2)
Session Co-Chairs:
Danilo Orlando, University of Pisa and Raffaele Fiengo, EMERSON
Presentation
Discussion
Resources
No resources available.
Session SS21
SS21.1: Track-before-detect in RIS-aided Integrated Sensing and Communication
Georgios Mylonopoulos, Luca Venturino, Emanuele Grossi, Stefano Buzzi, Ciro D'Elia, University of Cassino and Southern Lazio, Italy
SS21.2: Robust Sparse Beamforming via Minimax and Maximin SINRs for a Radar Receive Array
Yongwei Huang, Guangdong Polytechnic Normal University, China; Jianfeng He, Guangdong University of Technology, China; Augusto Aubry, Antonio De Maio, University of Napoli, Italy
SS21.3: A Radar-Based Positioning Algorithm for the Automotive Scenario
Francesco Bandiera, Giuseppe Ricci, Università del Salento, Italy
SS21.4: RADIO TOMOGRAPHIC IMAGING WITH EXTREMELY SPARSE AND LOCATION-UNCERTAIN TRANSMITTERS
Angelo Coluccia, Emanuele Mele, University of Salento, Italy; Alessio Fascista, Politecnico di Bari, Italy
SS21.5: TENSOR TRAIN QUANTUM STATE TOMOGRAPHY USING COMPRESSED SENSING
Shakir Showkat Sofi, Charlotte Vermeylen, Lieven De Lathauwer, KU Leuven, Belgium