SPTM-P5.6

SIGNAL RECOVERY USING A SPIKED MIXTURE MODEL

Paul-Louis Delacour, Delft University of Technology, Netherlands; Sander Wahls, Karlsruhe Institute of Technology, Germany; Jeffrey M. Spraggins, Vanderbilt University, United States of America; Lukasz Migas, Raf Van de Plas, Delft University of Technology, Netherlands
Session:
SPTM-P5: Estimation Poster
Track:
Signal Processing Theory and Methods [TM]
Location:
Poster Area 2
Presentation Time:
Tue, 5 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session SPTM-P5
SPTM-P5.1: Efficient Learning of Regularized Tyler’s M-Estimator
Karim Tamer Abou-Moustafa,
SPTM-P5.2: APPROXIMATING UNIVARIATE FACTORED DISTRIBUTIONS VIA MESSAGE-PASSING ALGORITHMS
Zilu Zhao, Dirk Slock, EURECOM, France
SPTM-P5.3: ROBUST COVARIANCE MATRIX ESTIMATION FOR UNIFORM RECTANGULAR ARRAY
Anas Ibrahim, Chengfang Ren, Israel Hinostroza, CentraleSupelec/Université Paris Saclay, France; Arnaud Breloy, CNAM, France; Mohammed Nabil El Korso, CentraleSupelec/Université Paris Saclay, France
SPTM-P5.4: Physics-Encoded Learned Maximum Likelihood Estimation for Unknown Measurement Distribution
Hai Victor Habi, Tel Aviv University, Israel; Yoram Bresler, University of Illinois at Urbana-Champaign, United States of America
SPTM-P5.5: A novel intrinsic Cramér-Rao bound for exact Gaussian distribution on Lie groups
Ayoub Hamza, TéSA, France; Samy Labsir, IPSA, France
SPTM-P5.6: SIGNAL RECOVERY USING A SPIKED MIXTURE MODEL
Paul-Louis Delacour, Delft University of Technology, Netherlands; Sander Wahls, Karlsruhe Institute of Technology, Germany; Jeffrey M. Spraggins, Vanderbilt University, United States of America; Lukasz Migas, Raf Van de Plas, Delft University of Technology, Netherlands
SPTM-P5.7: ROBUST PARAMETER ESTIMATION OF NON-LINEAR STATE SPACE MODELS USING A DIVERGENCE-BASED ESTIMATOR
Haruya Ishizuka, Bridgestone Corporation, Japan; Hironori Fujisawa, The Institute of Statistical Mathematics, Japan
SPTM-P5.8: IMPROVING NUMERICAL STABILITY OF NORMALIZED MUTUAL INFORMATION ESTIMATOR ON HIGH DIMENSIONS
Marko Tuononen, Ville Hautamäki, University of Eastern Finland, Finland
SPTM-P5.9: Exact Integration of Stationary Gaussian Process Kernels
Ralph J. McDougall, Tim Hargreaves, J. Simon Godsill,
SPTM-P5.10: A NOVEL MULTISCALE ORDER-FREQUENCY SPECTRAL CORRELATION ESTIMATOR FOR ANGLE-TIME CYCLOSTATIONARY SIGNALS
Hongfei Ren, Zhirong Zhong, Ruo-Bin Sun, Xuefeng Chen, Xi'an Jiaotong University, China
Contacts