Pages that link to "Item:Q4443787"
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The following pages link to Blind Deconvolution Using a Regularized Structured Total Least Norm Algorithm (Q4443787):
Displaying 24 items.
- Polynomial computations for blind image deconvolution (Q281962) (← links)
- Constrained numerical optimization methods for blind deconvolution (Q393752) (← links)
- Fast deconvolution with approximated PSF by RSTLS with antireflective boundary conditions (Q433944) (← links)
- A Kronecker approximation with a convex constrained optimization method for blind image restoration (Q694158) (← links)
- Total least-squares regularization of Tykhonov type and an ancient racetrack in Corinth (Q848588) (← links)
- A parameter estimation method for model analysis (Q854450) (← links)
- Stochastic algorithms for solving structured low-rank matrix approximation problems (Q907198) (← links)
- Regularization methods for uniformly rank-deficient nonlinear least-squares problems (Q948627) (← links)
- On the stability of the risk hull method for projection estimators (Q1011518) (← links)
- Fast robust regression algorithms for problems with Toeplitz structure (Q1020913) (← links)
- An investigation on semi-blind deconvolution by using nonlinear programming (Q1812617) (← links)
- A regularized structured total least squares algorithm for high-resolution image reconstruction (Q1888338) (← links)
- Implementation of the regularized structured total least squares algorithms for blind image deblurring (Q1888346) (← links)
- Randomized core reduction for discrete ill-posed problem (Q2309262) (← links)
- Optimization challenges in the structured low rank approximation problem (Q2434635) (← links)
- Regularized total least squares based on quadratic eigenvalue problem solvers (Q2566641) (← links)
- A method for structured linear total least norm on blind deconvolution problem (Q2574332) (← links)
- Direct blind deconvolution (Q2719096) (← links)
- An alternating semiproximal method for nonconvex regularized structured total least squares problems (Q2818270) (← links)
- Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution (Q4616352) (← links)
- Robust Blind Deconvolution with Convolution-Spectrum-Based Kernel Regulariser and Poisson-Noise Data Terms (Q5864005) (← links)
- Nested alternating minimization with FISTA for non-convex and non-smooth optimization problems (Q6145059) (← links)
- Generalized variational framework with minimax optimization for parametric blind deconvolution (Q6557638) (← links)
- Blind image deblurring using kernel error for \(p\)-shrinkage operator optimization model (Q6587561) (← links)
