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Linearized Bregman iterations for compressed sensing., , and . Math. Comput., 78 (267): 1515-1536 (2009)Guarantees of total variation minimization for signal recovery., and . Allerton, page 1266-1271. IEEE, (2013)Vandermonde Factorization of Hankel Matrix for Complex Exponential Signal Recovery - Application in Fast NMR Spectroscopy., , , , , and . IEEE Trans. Signal Process., 66 (21): 5520-5533 (2018)Projected Wirtinger Gradient Descent for Low-Rank Hankel Matrix Completion in Spectral Compressed Sensing., , and . CoRR, (2015)Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals., , , , , , , and . CoRR, (2016)Restoration of Chopped and Nodded Images by Framelets., , , and . SIAM J. Sci. Comput., 30 (3): 1205-1227 (2008)Spectral Super-Resolution on the Unit Circle Via Gradient Descent., , , and . ICASSP, page 1-5. IEEE, (2023)Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery., , , and . IEEE Trans. Signal Process., (2021)Image Inpainting Based on Multi-frequency Probabilistic Inference Model., , , , , , and . ACM Multimedia, page 1-9. ACM, (2020)Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals., , , , and . ICASSP, page 4638-4642. IEEE, (2016)