Multilevel Approach For Signal Restoration Problems With Toeplitz Matrices

DOI10.1137/080715780zbMath1228.65060OpenAlexW2018912300MaRDI QIDQ3079335

Malena I. Español, Misha E. Kilmer

Publication date: 2 March 2011

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://resolver.caltech.edu/CaltechAUTHORS:20100630-140856206

zbMATH Keywords

regularizationill-posed problemssignal restorationHaar waveletsmultilevel algorithmFredholm integral operators

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical methods for integral equations (65R20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60) Fredholm integral equations (45B05)

Related Items (8)

A regularizing multilevel approach for nonlinear inverse problems ⋮ Wavelet-based two-level methods for image restoration ⋮ Gohberg-Semencul type formula and application for the inverse of a conjugate-Toeplitz matrix involving imaginary circulant matrices ⋮ A new Toeplitz inversion formula, stability analysis and the value ⋮ Skew cyclic displacements and inversions of two innovative patterned matrices ⋮ A multigrid frame based method for image deblurring ⋮ A Gohberg-Semencul type formula for the inverse of conjugate-Toeplitz matrix and applications ⋮ A multigrid algorithm for maxflow and min-cut problems with applications to multiphase image segmentation

Uses Software

• Regularization tools

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