Iterative Weighted Group Thresholding Method for Group Sparse Recovery

IEEE transactions on neural networks and learning systems, pp. 1-14, 2020.

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Abstract:

This article proposes a novel iterative weighted group thresholding method for group sparse recovery of signals from underdetermined linear systems. Based on an equivalent weighted group minimization problem with ℓpp-norm (0<p ≤ 1), we derive closed-form solutions for a subproblem with respect to some specific values of p when using the p...More

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