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NESTA: A FAST AND ACCURATE FIRST-ORDER METHOD FOR SPARSE RECOVERY
Nesterov’s method smooth approximations of nonsmooth functions `1 minimization duality in convex optimization continuation methods compressed sensing total-variation minimization
2015/6/17
Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the recent field of compressed sensing...
New SAR Interferogram denoising method via sparse recovery based on L0 norm
Interferogram filtering phase estimation sparse coding l0 minimization approximate message passing
2014/9/29
The goal of this paper is to estimate a denoised phase image from the observed noisy SAR interferogram. We proposed a linear model to obtain a sparse representation of the interferomteric phase image....