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Enhancing sparsity by reweighted l1 minimization
1-Minimization ·Iterative reweighting Underdetermined systems of linear equations·Compressive sensing Dantzig selector· Sparsity FOCUSS
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2015/8/10
It is now well understood that (1) it is possible to reconstruct sparse signals exactly from what appear to be highly incomplete sets of linear measurements and (2) that this can be done by constraine...
Enhancing Sparsity by Reweighted ℓ1 Minimization
ℓ 1-minimization iterative reweighting underdetermined systems of linear equations Compressive Sensing the Dantzig selector sparsity FOCUSS
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2015/6/17
It is now well understood that (1) it is possible to reconstruct sparse signals exactly from what appear to be highly incomplete sets of linear measurements and (2) that this can be done by constraine...
FINDING THE STRICTLY LOCAL AND $\epsilon $-GLOBAL MINIMIZERS OF CONCAVE MINIMIZATION WITH LINEAR CONSTRAINTS
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2007/12/11
This paper considers the concave minimization problem with linear
constraints, proposes a technique which may avoid the unsuitable
Karush-Kuhn-Tucker points, then combines this technique with Frank-...