Statistical Recovery of Simultaneously Sparse Time-Varying Signals from Multiple Measurement Vectors

IEEE Transactions on Signal Processing

Volumn 63, Issue 22, 2015, Pages 6136-6148

  Choi, Jun Won ^a   Shim, Byonghyo ^b  

^a Hanyang University   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

Compressed sensing; expectation maximization (EM) algorithm; maximum likelihood estimation; multiple measurement vector; simultaneously sparse signal

Indexed keywords

COMPRESSED SENSING; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE; RECOVERY; SIGNAL RECONSTRUCTION; TESTBEDS; TREES (MATHEMATICS); VECTORS;

CORRELATED OBSERVATIONS; EXPECTATION-MAXIMIZATION ALGORITHMS; MULTIPLE MEASUREMENT VECTORS; NUMERICAL EXPERIMENTS; ROBUST RECONSTRUCTION; SPARSE SIGNAL RECOVERIES; SPARSE SIGNALS; TIME VARYING SIGNAL;

ALGORITHMS;

EID: 84960153466     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2015.2463259     Document Type: Article

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