Nonlinear Iterative Hard Thresholding for Inverse Scattering
classification
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cs.NA
keywords
hardinverseiterativenonlinearscatteringthresholdingalgorithmanalyzed
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We consider the inverse scattering problem for sparse scatterers. An image reconstruction algorithm is proposed that is based on a nonlinear generalization of iterative hard thresholding. The convergence and error of the method was analyzed by means of coherence estimates and compared to numerical simulations.
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