Blind deconvolution model in periodic setting with fractional Gaussian noise

DOI10.1080/03610926.2017.1417431OpenAlexW2782361002MaRDI QIDQ5078252

Rida Benhaddou

Publication date: 23 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1417431

zbMATH Keywords

fractional Gaussian noiseblind deconvolutionminimax convergence rate

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (1)

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Cites Work

• Deconvolution model with fractional Gaussian noise: a minimax study
• Noisy Laplace deconvolution with error in the operator
• Minimax estimation via wavelets for indirect long-memory data
• Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
• Wavelet deconvolution in a periodic setting with long-range dependent errors
• Blockwise SVD with error in the operator and application to blind deconvolution
• Multichannel deconvolution with long range dependence: upper bounds on the \(L^p\)-risk \((1 \leq p < \infty)\)
• Multichannel deconvolution with long-range dependence: a minimax study
• Aggregation for Gaussian regression
• Nonlinear estimation for linear inverse problems with error in the operator
• Wavelet Deconvolution in a Periodic Setting

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