Pages that link to "Item:Q1604685"
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The following pages link to Deconvolution and regularization with Toeplitz matrices (Q1604685):
Displaying 33 items.
- Adaptive cross approximation for ill-posed problems (Q269387) (← links)
- Structured condition numbers of structured Tikhonov regularization problem and their estimations (Q738977) (← links)
- A collocation method solving integral equation models for image restoration (Q739494) (← links)
- Circulant and aperiodic models of deconvolution: A comparison (Q1128752) (← links)
- Implementation of the regularized structured total least squares algorithms for blind image deblurring (Q1888346) (← links)
- Efficient local search procedures for quadratic fractional programming problems (Q1986108) (← links)
- Nonlinear approximation in \(N\)-dimension with the help of summability methods (Q2031841) (← links)
- Numerical investigation of Fredholm integral equation of the first kind with noisy data (Q2179009) (← links)
- Matrix completion for matrices with low-rank displacement (Q2203383) (← links)
- Convergence in phi-variation and rate of approximation for nonlinear integral operators using summability process (Q2218615) (← links)
- Least squares problems involving generalized Kronecker products and application to bivariate polynomial regression (Q2322820) (← links)
- Dynamic regularization of input estimation problems by explicit block inversion (Q2382789) (← links)
- Using QR factorization and SVD to solve input estimation problems in structural dynamics (Q2382790) (← links)
- Inverse scale spaces for nonlinear regularization (Q2384098) (← links)
- A fast solver for integral equations with convolution-type kernel (Q2392715) (← links)
- A structure-preserving matrix method for the deconvolution of two Bernstein basis polynomials (Q2396283) (← links)
- Regularization tools version \(4.0\) for matlab \(7.3\) (Q2464639) (← links)
- Exploiting residual information in the parameter choice for discrete ill-posed problems (Q2492726) (← links)
- Fast computation of two-level circulant preconditioners (Q2494385) (← links)
- An adaptive pruning algorithm for the discrete L-curve criterion (Q2508955) (← links)
- Regularization parameter determination for discrete ill-posed problems (Q2510005) (← 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)
- Impact force reconstruction using the regularized Wiener filter method (Q2831839) (← links)
- A stochastic procedure to solve linear ill-posed problems (Q2979623) (← links)
- Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG (Q3440421) (← links)
- A theoretical analysis of <i>L</i><sup>1</sup> regularized Poisson likelihood estimation (Q3565092) (← links)
- Bayesian sparse regularization for multiple force identification and location in time domain (Q4990742) (← links)
- Relaxed Regularization for Linear Inverse Problems (Q4997379) (← links)
- Relaxed Regularization for Linear Inverse Problems (Q5161744) (← links)
- ADMM in Krylov Subspace and Its Application to Total Variation Restoration of Spatially Variant Blur (Q5266382) (← links)
- Application of numerical solution of linear Fredholm integral equation of the first kind for image restoration (Q6066826) (← links)
- Matrix equation representation of the convolution equation and its unique solvability (Q6590687) (← links)
