Pages that link to "Item:Q2279178"

The following pages link to Signal reconstruction by conjugate gradient algorithm based on smoothing \(l_1\)-norm (Q2279178):

Displaying 19 items.

• Non-smooth equations based method for \(\ell_1\)-norm problems with applications to compressed sensing (Q540241) (← links)
• A new smoothing modified three-term conjugate gradient method for \(l_1\)-norm minimization problem (Q824554) (← links)
• Smoothed \(\ell_1\)-regularization-based line search for sparse signal recovery (Q1701931) (← links)
• Sparse signal reconstruction based on multiparameter approximation function with smoothed \(\ell_0\) norm (Q1718317) (← links)
• The smoothing FR conjugate gradient method for solving a kind of nonsmooth optimization problem with \(l_1\)-norm (Q1721133) (← links)
• New nonsmooth equations-based algorithms for \(\ell_1\)-norm minimization and applications (Q1952757) (← links)
• Applying smoothing technique and semi-proximal ADMM for image deblurring (Q2095512) (← links)
• Real-time pricing method for smart grid based on social welfare maximization model (Q2097501) (← links)
• Generalization of hyperbolic smoothing approach for non-smooth and non-Lipschitz functions (Q2171123) (← links)
• A smoothing neural network for minimization \(l_1\)-\(l_p\) in sparse signal reconstruction with measurement noises (Q2185680) (← links)
• Large sparse signal recovery by conjugate gradient algorithm based on smoothing technique (Q2629501) (← links)
• Smoothing strategy along with conjugate gradient algorithm for signal reconstruction (Q2660684) (← links)
• The Whittaker smoother and the Moore-Penrose inverse in signal reconstruction (Q2907840) (← links)
• Projected Newton method for noise constrained ℓ _p regularization (Q5139326) (← links)
• A SMOOTH APPROXIMATION TO PROBABILITY CONSTRAINED OPTIMIZATION MODEL IN COMPRESSED SENSING (Q5215099) (← links)
• Smoothing Levenberg-Marquardt algorithm for solving non-Lipschitz absolute value equations (Q6085008) (← links)
• Accelerated sparse recovery via gradient descent with nonlinear conjugate gradient momentum (Q6101532) (← links)
• A three-term conjugate gradient method with a random parameter for large-scale unconstrained optimization and its application in regression model (Q6137748) (← links)
• A new conjugate gradient method for the optimization problem with \(l_1\)-norm (Q6654110) (← links)