Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-Resolving SAR Tomography
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DOI: 10.1109/tgrs.2022.3221185
Abstract: Finding sparse solutions of underdetermined linear systems commonly requires the solving of $L_{1}$ regularized least-squares minimization problem, which is also known as the basis pursuit denoising (BPDN). They are computationally expensive since they cannot be… read more here.
Keywords: neural network; basis pursuit; recurrent neural; pursuit denoising ... See more keywords