De-noising by thresholding operator adapted wavelets

Volume: 29, Issue: 6, Pages: 1185 - 1201
Published: Sep 21, 2019
Abstract
Donoho and Johnstone (Ann Stat 26(3):879–921, 1998) proposed a method from reconstructing an unknown smooth function u from noisy data $u+\zeta by translating the empirical wavelet coefficients of u+\zeta towards zero. We consider the situation where the prior information on the unknown function u may not be the regularity of u but that of {\mathcal {L}}u where {\mathcal {L}} is a linear operator (such as a PDE or a graph...
Paper Details
Title
De-noising by thresholding operator adapted wavelets
Published Date
Sep 21, 2019
Volume
29
Issue
6
Pages
1185 - 1201
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