Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: F1.4
Paper Title:  OPeRA: Leveraging the Sample Size and Complexity Trade-Off Towards Efficient One-Bit Phase Retrieval
Authors:  Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian, University of Illinois Chicago, United States
Session: In-Person Posters II
Location: Fred Farr
Presentation Time: Monday, October 31, 13:30 - 15:00
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Poster
Topic:  Adaptive Systems, Machine Learning, Data Analytics: Estimation and Inference