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arxiv: math/0602241 · v1 · pith:4JFWDQKJnew · submitted 2006-02-11 · 🧮 math.ST · stat.TH

Wavelet thresholding for nonnecessarily Gaussian noise: functionality

classification 🧮 math.ST stat.TH
keywords thresholdingwaveletnoiseasymptoticasymptoticsballsbehaviorbelonging
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For signals belonging to balls in smoothness classes and noise with enough moments, the asymptotic behavior of the minimax quadratic risk among soft-threshold estimates is investigated. In turn, these results, combined with a median filtering method, lead to asymptotics for denoising heavy tails via wavelet thresholding. Some further comparisons of wavelet thresholding and of kernel estimators are also briefly discussed.

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