234 citations · 581 across the 34 of their papers we have counts for
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eess.SP2021
Short-and-Sparse Deconvolution Via Rank-One Constrained Optimization (ROCO)
Cheng Cheng, Wei Dai
Short-and-sparse deconvolution (SaSD) aims to recover a short kernel and a long and sparse signal from their convolution. In the literature, formulations of blind deconvolution is…
eess.SP2021
Dictionary Learning with Convex Update (ROMD)
Cheng Cheng, Wei Dai
Dictionary learning aims to find a dictionary under which the training data can be sparsely represented, and it is usually achieved by iteratively applying two stages: sparse codin…