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Published in 2017 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2711501
Abstract: Sparse approximate solutions to linear equations are classically obtained via L1 norm regularized least squares, but this method often underestimates the true solution. As an alternative to the L1 norm, this paper proposes a class…
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Keywords:
least squares;
regularization via;
via convex;
sparse regularization ... See more keywords