Blockwise SVD with error in the operator and application to blind deconvolution
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Publication:1950898
DOI10.1214/12-EJS745zbMath1295.62030arXiv1204.2964MaRDI QIDQ1950898
Publication date: 28 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1204.2964
blind deconvolutionlinear inverse problemsblockwise SVDnonparametric adaptive estimationerror in the operatorcircular and spherical deconvolution
Nonparametric estimation (62G05) Factorization of matrices (15A23) Numerical computation of eigenvalues and eigenvectors of matrices (65F15)
Related Items (10)
A note on a fixed-point method for deconvolution ⋮ Minimax lower bounds for the simultaneous wavelet deconvolution with fractional Gaussian noise and unknown kernels ⋮ Minimax adaptive wavelet estimator for the anisotropic functional deconvolution model with unknown kernel ⋮ Blind deconvolution model in periodic setting with fractional Gaussian noise ⋮ Application of second generation wavelets to blind spherical deconvolution ⋮ Minimax goodness-of-fit testing in ill-posed inverse problems with partially unknown operators ⋮ Noisy Laplace deconvolution with error in the operator ⋮ Signal detection for inverse problems in a multidimensional framework ⋮ Nonparametric adaptive estimation for grouped data ⋮ Nonparametric intensity estimation from noisy observations of a Poisson process under unknown error distribution
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