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Blind Recovery of Sparse Signals from Subsampled Convolution.
IEEE Trans. Information Theory, no. 2 (2017): 802-821
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Abstract
Subsampled blind deconvolution is the recovery of two unknown signals from samples of their convolution. To overcome the ill-posedness of this problem, solutions based on priors tailored to specific practical application have been developed. In particular, sparsity models have provided promising priors. However, in spite of the empirical ...More
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