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- W2986124502 abstract "We propose a new algorithm for finding sparse solution of a linear system of equations using $ell_{0}$ minimization. The proposed algorithm relies on approximating the non-smooth $ell_{0}$ (pseudo) norm with a differentiable function. Unlike other approaches, we utilize a particular definition of $ell_{0}$ norm which states that the $ell_{0}$ norm of a vector can be computed as the $ell_{1}$ norm of its sign vector. Then, using a smooth approximation of the sign function, the problem is converted to $ell_{1}$ minimization. This problem is solved via iterative proximal algorithms. Our simulations on both synthetic and real data demonstrate the promising performance of the proposed scheme." @default.
- W2986124502 created "2019-11-22" @default.
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- W2986124502 date "2019-09-01" @default.
- W2986124502 modified "2023-10-12" @default.
- W2986124502 title "LOSoft: ℓ0 Minimization via Soft Thresholding" @default.
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- W2986124502 doi "https://doi.org/10.23919/eusipco.2019.8903024" @default.
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