Minimization of Fraction Function Penalty in Compressed Sensing
نویسندگان
چکیده
منابع مشابه
Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing
We study the minimization problem of a non-convex sparsity promoting penalty function, the transformed l1 (TL1), and its application in compressed sensing (CS). The TL1 penalty interpolates l0 and l1 norms through a nonnegative parameter a ∈ (0,+∞), similar to lp with p ∈ (0, 1]. TL1 is known in the statistics literature to enjoy three desired properties: unbiasedness, sparsity and Lipschitz co...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks and Learning Systems
سال: 2020
ISSN: 2162-237X,2162-2388
DOI: 10.1109/tnnls.2019.2921404