SPTM-23.4
CRAMÉR-RAO BOUND FOR ESTIMATION AFTER MODEL SELECTION AND ITS APPLICATION TO SPARSE VECTOR ESTIMATION
Elad Meir, Tirza Routtenberg, Ben Gurion University of the Negev, Israel
Session:
Estimation Theory and Applications
Track:
Signal Processing Theory and Methods
Location:
Gather Area M
Presentation Time:
Fri, 13 May, 22:00 - 22:45 China Time (UTC +8)
Fri, 13 May, 14:00 - 14:45 UTC
Fri, 13 May, 14:00 - 14:45 UTC
Session Chair:
Tirza Routtenberg, Ben-Gurion University of the Negev
Presentation
Discussion
Resources
No resources available.
Session SPTM-23
SPTM-23.1: BAYESIAN POPT-MODEL-SELECTION ESTIMATION
Nadav Harel, Tirza Routtenberg, Ben Gurion University, Israel
SPTM-23.2: INCIPIENT FAULT SEVERITY ESTIMATION USING LOCAL MAHALANOBIS DISTANCE
Junjie Yang, Claude Delpha, Universite Paris Saclay, France
SPTM-23.3: Gridless DOA Estimation Under the Multi-frequency Model
Yifan Wu, Peter Gerstoft, University of California, San Diego, United States of America; Michael Wakin, Colorado School of Mines, United States of America
SPTM-23.4: CRAMÉR-RAO BOUND FOR ESTIMATION AFTER MODEL SELECTION AND ITS APPLICATION TO SPARSE VECTOR ESTIMATION
Elad Meir, Tirza Routtenberg, Ben Gurion University of the Negev, Israel
SPTM-23.5: AN ADAPTIVE ALL-PASS FILTER FOR TIME-VARYING DELAY ESTIMATION
Beth Jelfs, Kamran Ghorbani, Christopher Gilliam, RMIT University, Australia; Shuai Sun, Dalian Maritime University, China
SPTM-23.6: Exploiting Information About the Structure of Signals of Opportunity for Passive Radar Performance Increase
Zhen Wang, Qian He, University of Electronic Science and Technology of China, China; Rick S. Blum, Lehigh University, United States of America