TP7b.5

Compressive Sensing and Quantization: what have we learned?

Petros Boufounos, Mitsubishi Electric Research Laboratories, United States
Session:
TP7b: Learning and Sensing over the Years Lecture
Track:
Speech, Image and Video Processing
Location:
Chapel
Presentation Time:
Tue, 27 Oct, 17:10 - 17:35 PT (UTC -7)
Session Chair:
Justin Romberg, Georgia Institute of Technology, United States
Presentation
Discussion
Resources
No resources available.
Session TP7b
TP7b.1: Catastrophic Forgetting in Kernel Continual Learning
Adrian Candocia, Sean Hung, Mark Davenport, Georgia Tech, United States
TP7b.2: Massive scale covariance estimation for array processing
Lucia Torres, Nakul Singh, Mark Davenport, Justin Romberg, Georgia Institute of Technology, United States
TP7b.3: Embedding and Recovering Structured States in Quantum Tomography
Zhen Qin, University of Michigan, United States; Alireza Goldar, Colorado School of Mines, United States; Zhihui Zhu, The Ohio State University, United States; Zhe-Xuan Gong, Michael Wakin, Colorado School of Mines, United States
TP7b.4: Reliability-aware phase propagation for self-referenced interferometric phase retrieval.
Nebiyou Yismaw, M. Salman Asif, University of California Riverside, United States
TP7b.5: Compressive Sensing and Quantization: what have we learned?
Petros Boufounos, Mitsubishi Electric Research Laboratories, United States
Contacts