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Journal of Approximation Theory
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Journal of Approximation Theory
Article . 2011
License: Elsevier Non-Commercial
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Wavelet shrinkage estimators of Hilbert transform

Authors: Di-Rong Chen; Yao Zhao;

Wavelet shrinkage estimators of Hilbert transform

Abstract

Wavelet shrinkage is a nonlinear approximation strategy and is widely used in many applications. Based on wavelet shrinkage estimators of the original function \(f\), this paper constructs an estimator of its Hilbert transform \(Hf\) and then establishes the almost everywhere convergence and norm convergence of the proposed estimators. A numerical example is also provided to illustrate the performance of the proposed wavelet shrinkage estimators of the Hilbert transform.

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Keywords

Wavelets shrinkage, Mathematics(all), Numerical Analysis, Applied Mathematics, wavelet shrinkage, nonstandard form, Hilbert transform, Maximal operator, Nonstandard form, Other transformations of harmonic type, maximal operator, Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid