Structured Iterative Hard Thresholding with Off-Grid Applications
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We consider linear sparse recovery problems where additional structure of the sparsity in the solution is known. An algorithm based on iterative hard thresholding is proposed to solve this problem. The convergence and error of the method was analyzed with respect to mutual coherence. Numerical simulations are examined in the context of an inverse source problem, including modifications for off-grid recovery.
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