Distribution agnostic Bayesian matching pursuit based on the exponential embedded family
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.007
Abstract: Abstract Compressed sensing (CS) is an emerging field that allows to recover high-dimensional sparse signal from a few compressed measurements. Classical CS algorithms using the Bayesian framework generally impose a sparseness-promoting prior on the signal,… read more here.
Keywords: embedded family; matching pursuit; bayesian matching; agnostic bayesian ... See more keywords