Efficient and Robust Recovery of Sparse Signal and Image Using Generalized Nonconvex Regularization
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DOI: 10.1109/tci.2017.2744626
Abstract: This paper addresses the robust reconstruction problem of a sparse signal from compressed measurements. We propose a robust formulation for sparse reconstruction that employs the $\ell _1$ -norm as the loss function for the residual… read more here.
Keywords: tex math; generalized nonconvex; sparse signal; inline formula ... See more keywords