IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
CI-SAM-L1: Computational Imaging & Multichannel Signal Processing
Thu, 26 May, 15:30 - 18:00 China Time (UTC +8)
Thu, 26 May, 07:30 - 10:00 UTC
Location: Peony Ballroom 4501AB, 4502-3
Session Co-Chairs: Linlong Wu, University of Luxembourg and Marco Lops, Università di Napoli Federico II
Track: Computational Imaging

CI-SAM-L1.1: THE DATA/IDENTITY TRADEOFF WITH CENSORED SENSORS
Zachariah Sutton, Peter Willett, University of Connecticut, United States of America; Stefano Marano, University of Salerno, Italy

CI-SAM-L1.2: RIS-AIDED MONOSTATIC MIMO RADAR WITH CO-LOCATED ANTENNAS
Stefano Buzzi, Emanuele Grossi, Luca Venturino, University of Cassino and Southern Lazio, Italy; Marco Lops, University of Naples Federico II, Italy

CI-SAM-L1.3: IMAGE DENOISING WITH DEEP UNFOLDING AND NORMALIZING FLOWS
Xinyi Wei, Hans van Gorp, Lizeth Gonzalez Carabarin, Ruud van Sloun, Eindhoven University of Technology, Netherlands; Daniel Freedman, Verily Research, Israel; Yonina Eldar, Weizmann Institute of Science, Israel

CI-SAM-L1.4: HIGH-DIMENSIONAL SPARSE BAYESIAN LEARNING WITHOUT COVARIANCE MATRICES
Alexander Lin, Demba Ba, Harvard University, United States of America; Andrew Song, Massachusetts Institute of Technology, United States of America; Berkin Bilgic, Athinoula A. Martinos Center for Biomedical Imaging, United States of America

CI-SAM-L1.5: DEEP ITERATIVE PHASE RETRIEVAL FOR PTYCHOGRAPHY
Simon Welker, Tal Peer, Timo Gerkmann, Universität Hamburg, Germany; Henry Chapman, Deutsches Elektronen-Synchrotron, Germany

CI-SAM-L1.6: RADAR TARGET DETECTION AIDED BY RECONFIGURABLE INTELLIGENT SURFACES
Stefano Buzzi, Emanuele Grossi, Luca Venturino, University of Cassino and Southern Lazio, Italy; Marco Lops, University of Naples Federico, Italy

CI-SAM-L1.7: Recurrent Design of Probing Waveform for Sparse Bayesian Learning Based DOA Estimation
Linlong Wu, Bhavani Shankar, Ruizhi Hu, Björn Ottersten, University of Luxembourg, Luxembourg; Jisheng Dai, Jiangsu University, China

CI-SAM-L1.8: TRANSIENT DETECTION WITH UNKNOWN STATISTICS VIA SOURCE CODING
Andrew Finelli, Peter Willett, Yaakov Bar-Shalom, Stefano Marano, University of Connecticut, United States of America

CI-SAM-L1.9: EFFICIENT TWO-STAGE BEAM TRAINING AND CHANNEL ESTIMATION FOR RIS-AIDED MMWAVE SYSTEMS VIA FAST ALTERNATING LEAST SQUARES
Hyeonjin Chung, Sunwoo Kim, Hanyang University, Korea, Republic of

CI-SAM-L1.10: DOUBLE-RIS VERSUS SINGLE-RIS AIDED SYSTEMS: TENSOR-BASED MIMO CHANNEL ESTIMATION AND DESIGN PERSPECTIVES
Khaled Ardah, Sepideh Gherekhloo, Martin Haardt, Communications Research Laboratory (CRL)/TU Ilmenau, Germany; André L. F. de Almeida, GTEL/Universidade Federal do Ceará (UFC), Brazil