Besov regularization, thresholding and wavelets for smoothing data

DOI10.1080/01630569708816773zbMath0896.65007OpenAlexW2020565182MaRDI QIDQ4385289

Dan Tudor Vuza, Umberto Amato

Publication date: 22 September 1998

Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01630569708816773

zbMATH Keywords

smoothingnumerical experimentswavelet transformthresholdingorthogonal waveletsnoise reductionBesov regularization

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Numerical methods for discrete and fast Fourier transforms (65T50)

Cites Work

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• Singularity detection and processing with wavelets
• Ten Lectures on Wavelets
• Quadrature Formulae and Asymptotic Error Expansions for Wavelet Approximations of Smooth Functions
• Ideal spatial adaptation by wavelet shrinkage

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