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Showing 1 to 3 of 3 for “"l0 Norm"”.
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l0 Sparse signal processing and model selection with applications
… method is based on direct minimization of the l0 norm via cyclic descent, which is called the L0LS-CD (l0 penalized least squares via cyclic descent) algorithm. The other method minimizes smooth approximations of sparsity measures including those of the l0 norm via the majorization minimization …
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Optimal sensor placement for linear systems
… dynamical systems we consider, with the H2-norm of the observer error system. In this approach, we optimize both the subset of selected sensors and the observer gain matrix in parallel. The optimization problem is non-convex both in a constraint, which bounds the H2-norm, as well as in the …
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Fast superresolution based on a network structure trained using sparse coding
… function that includes the square of the L2 norm and a regularization term containing the L1 norm of the sparse vector. This sets up a regularized least squares solution. The L1 norm is preferred because it promotes the sparseness of the solution. The L0 norm term in the regularization …