Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing with a Dynamic Grid [PDF]
arXivWe investigate the problem of recovering a structured sparse signal from a linear observation model with an uncertain dynamic grid in the sensing matrix. The state-of-the-art expectation maximization based compressed sensing (EM-CS) methods, such as turbo compressed sensing (Turbo-CS) and turbo variational Bayesian inference (Turbo-VBI), have a ...
arxiv
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