WA6a.4

Breaking the Gaussian Barrier: Leveraging ReGVAMP to Extend EKF, SOEKF, and IEKF

fangqing xiao, dirk slock, eurecom, France
Session:
WA6a: Adaptive Filtering and Estimation II Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Evergreen
Presentation Time:
Wed, 30 Oct, 09:30 - 09:55 PT (UTC -8)
Session Chair:
Christ Richmond, Duke University
Presentation
Discussion
Resources
No resources available.
Session WA6a
WA6a.1: Clutter Subspace-Based Space-Time Adaptive Radar Detectors
Christ Richmond, Duke University, United States
WA6a.2: Neuro-Scheduling for Remote Estimation
Marcos Vasconcelos, Yifei Zhang, Florida State University, United States
WA6a.3: Quickest Change Detection with Confusing Change
Yu-Zhen Janice Chen, University of Massachusetts Amherst, United States; Jinhang Zuo, University of Massachusetts Amherst & California Institute of Technology, United States; Venugopal Veeravalli, University of Illinois at Urbana-Champaign, United States; Don Towsley, University of Massachusetts Amherst, United States
WA6a.4: Breaking the Gaussian Barrier: Leveraging ReGVAMP to Extend EKF, SOEKF, and IEKF
fangqing xiao, dirk slock, eurecom, France
Contacts